Nov 12, 2019 | Volume 9 - Issue 4
Deborah L. Duenyas, Chad Luke
In recent decades, professional counselors have increasingly focused on neuroscience to inform their case conceptualization and treatment planning with clients. With the additional lens of neuroscience, both the counselor and client can gain new understandings of the client’s issues and improve the quality of the therapeutic relationship. The benefits of integrating neuroscience into the profession of counseling (i.e., neuroscience-informed counseling) are being documented in the scholarly literature; however, information on integrating neuroscience-informed counseling into the counselor education curriculum is sparse. This article describes one teaching approach for a neuroscience-informed counseling course. The structure of the course, methods for effective instruction, and ethical and cultural considerations are discussed.
Keywords: neuroscience, counselor education, teaching, neuroscience-informed, instruction
Neuroscience-informed counseling is a growing force in the counseling profession (Beeson & Field, 2017). The integration of neuroscience into the profession of counseling has been evident over the past two decades. Examples include the development of neuroscience interest networks by the American Counseling Association (ACA), the American Mental Health Counselors Association (AMHCA), and the Association for Counselor Education and Supervision (ACES). There have been numerous books published that focus on neuroscience for counselors (Field, Jones, & Russell-Chapin, 2017; Luke, 2019) and an increased amount of scholarly literature focused on integrating neuroscience into counseling practice (Beeson & Field, 2017; Lorelle & Michel, 2017; Luke, Redekop, & Jones, 2018; Makinson & Young, 2012; Miller, 2016; Myers & Young, 2012).
Neuroscience is the study of the brain and nervous system (Kalat, 2019). Neuroscience-informed counseling involves integrating principles from the structure and function of the brain and nervous system to counseling practice (Russell-Chapin, 2016). This integrative work in counseling is being used to treat behavioral and mental health challenges (Field et al., 2017). According to Beeson and Field (2017), neurocounseling is a
specialty within the counseling field, defined as the art and science of integrating neuroscience
principles related to the nervous system and physiological processes underlying all human
functioning into the practice of counseling for the purpose of enhancing clinical effectiveness in the
screening and diagnosis of physiological functioning and mental disorders, treatment planning
and delivery, evaluation of outcomes, and wellness promotion. (p. 74)
Three methods for integrating neuroscience into the counseling profession have been identified in the scholarly literature, including neuroeducation (Fishbane, 2013), neurofeedback (Myers & Young, 2012), and the use of a metaphor-based approach (Luke, 2016).
The first method, neuroeducation, is defined by Miller (2016) as “a didactic or experiential-based intervention that aims to reduce client distress and improve client outcome by helping clients understand the neurological processes underlying mental functioning” (p. 105). Neuroeducation is essentially psychoeducation about the brain and nervous system. Neuroeducation can be used as an intervention to help clients understand the neurological processes that underlie their symptoms and development (Miller, 2016). Miller described various methods for integrating neuroeducation into counseling practice through the use of information on neuroplasticity, brain structures and functions, and memories.
Plasticity is an object’s or organism’s ability to stretch and to be resilient. As applied to the brain and central nervous system, this is called neuroplasticity or neural plasticity, and involves “changes in the activity and connectivity of the various circuits within the nervous system [that] enable learning, encode memory, and drive behavior” (Li, Park, Zhong, & Chen, 2019, p. 44). Information on neuroplasticity and self-defeating patterns of thought and behavior may help demystify change processes.
Informing clients about the various brain structures and functions (e.g., brain stem, limbic, and cortical regions) can help with understanding the brain from a developmental perspective—that the brain is built to change and to be resilient (Luke, 2019). Educating clients about how their memories are encoded, stored, and accessed, drawn from the groundbreaking work of Eric Kandel (1976), can help clients gain a better understanding of their own brain and behavior (Miller, 2016). This knowledge can instill hope that although events of the past cannot be changed, the meaning of the memories associated with those events can be changed (Sweatt, 2016). Furthermore, the relational context in which change takes place can help clients’ brains overwrite rigid rules and threats about relationships learned from earlier dysfunctional relationships (Kandel, Dudai, & Mayford, 2014; Schore, 2010; Siegel, 2015).
A second method, neurofeedback, has been recognized as an effective treatment for reducing symptoms of various mental health concerns (Russell-Chapin, 2016). A specialized form of biofeedback, neurofeedback changes brain wave patterns to aid in the treatment of conditions such as attention-deficit/hyperactivity disorder, anxiety, depression, addiction, trauma, autism spectrum disorders, and personality disorders (Russell-Chapin, 2016). Neurofeedback is just one method that counselors can use with clients to help them understand and change the function of their brains. Additional examples include basic biofeedback tools and methods like those found on many “smart” watches and fitness trackers.
The third method for integrating neuroscience-informed counseling is described by Michael and Luke (2016) as using a metaphor-based approach to teaching the neuroscience of play therapy. This approach is an extension and application of that described in Luke (2016), wherein neuroscience concepts are used both as metaphors for the human experience, as well as understanding brain function. Tay (2017a) has identified the therapeutic value of metaphor and its utility in understanding language and the body. Relatedly, the practices of mindfulness and meditation often use imagery, a form of metaphor, to engage practitioners in engaging more fully in the experience (Tang, Hölzel, & Posner, 2015). As neuroscience-informed counseling continues to become integrated into the work of professional counselors, counselor educators must adapt in order to keep their coursework relevant.
Counselor Education and Neuroscience-Informed Counseling
Beeson and Field (2017), along with others (Field et al., 2017; Luke, 2017; Miller, 2016) have called for more training for counselors who seek to integrate neuroscience into their practice. They also have identified the challenges associated with infusing neuroscience into counseling courses. The Council for Accreditation of Counseling and Related Educational Programs (CACREP; 2015) standards now require competency in “the biological, neurological, and physiological factors that affect human development, functioning, and behavior” (p. 10). CACREP standards, along with growing momentum in the field, support the development of a course designed specifically for integrating neuroscience for counselors. The AMHCA clinical training standards include recommendations for competence in understanding and applying the biological bases of behavior. The AMHCA standards outline basic knowledge and skills, which include integrating research into practice, as well as clinical interventions.
Field et al. (2017) laid a foundation for incorporating neuroscience-informed counseling across the CACREP curriculum. This approach addresses neuroscience in pre-existent courses, yet there is limited availability of literature on how to teach a graduate content course in neuroscience-informed counseling. In the absence of established models for teaching a course in neuroscience-informed counseling, counselor educators and others can feel at a loss for how to proceed. The purpose of this article is to provide recommendations for developing a neuroscience-informed counseling course designed for graduate students. This includes the course structure (e.g., content and resources), methods for effective instruction (e.g., teaching approach and assignments), and ethical considerations.
Course Structure: Content and Resources
The Neuroscience for Counselors course builds on prior core counseling courses, including counseling theories and the fundamentals of counseling. As such, it represents an extension of counseling theory and fundamentals and is not intended to be a substitute or replacement. Neuroscience-informed counseling explores how different counseling theories and interventions influence and change neurobiology and help facilitate client wellness.
The Neuroscience for Counselors course was offered to master’s students enrolled in a CACREP-accredited counseling program at a mid-size university in the northeast region of the United States. The course was offered as an elective that fulfilled three graduate credits toward degree completion. The course was designed as an introduction to neuroscience research and clinical interventions for counselors. Specific attention was given to reviewing the structures, systems, and functions of the brain. Psychodynamic, behavioral, humanistic, and constructivist counseling theories were explored in relation to neuroscience research. The neuroscience of mental health disorders, such as anxiety, depression, stress, and addictions and substance use, were explored.
Course assignments included developing a neuroscience-informed guided metaphor; completing a brain resource book on structures, systems, and functions; dyads to practice using neuroscience-informed counseling interventions; reflection in a neuroscience process analysis log (N-PAL); and activities exploring neuroscience-informed technology. A final paper included a case conceptualization based on the 8-factor meta-model (Luke, 2017, 2019) of case conceptualization to explore their client’s presenting concerns.
The assigned textbook for this course was Luke’s (2016) Neuroscience for Counselors and Therapists: Integrating the Sciences of Mind and Brain, which focuses on client conceptualization, brain anatomy, various theoretical approaches, and an array of commonly diagnosed mental health concerns. The text also provides case vignettes highlighting how a student might use neuroscience-informed counseling interventions with a diverse population of clients. The first chapter of the text discusses ethical and philosophical issues related to integration. Chapter 2 presents an overview of the basic brain structures, systems, and functions, including neurons and synapses. Chapters 3 through 6 cover the major categories of counseling theories: psychodynamic, cognitive-behavioral, humanistic-existential, and postmodern and constructivist. Chapters 7 through 10 describe conceptualizing and treating anxiety, depression, stress-related disorders, and substance use disorders. The text is written for counselors and counselors-in-training who have little or no background in the physiological bases of behavioral and mental health concerns.
The course instructor provided supplemental material, including magazine articles, peer-reviewed journal publications, apps, videos, websites, and links to neuroscience interest networks. For example, students were provided a link to the Neuroscience News website, which is an independent science news website that offers free cognitive science research papers, neuroscience resources, and a science social network. Also included were links to the Dana Foundation, an organization that supports brain research via grants, publications, and education, and the ACA’s Neurocounseling Interest Network. The supplemental material was selected as a method to broaden student understanding and support knowledge acquisition in neuroscience.
Methods: Teaching Approach and Assignments
Experiential education is not a new approach in higher education. Educational psychologists in the past, such as John Dewey (1938), Carl Rogers (1969), and David Kolb (1984), have laid the groundwork for the development of contemporary experiential education. Kolb (1984) defined learning as “the process whereby knowledge is created through the transformation of experience. Knowledge results from the combination of grasping and transforming experience” (p. 41). The Association for Experiential Education (AEE; 2019a) defined experiential education as a teaching philosophy “in which educators purposefully engage with learners in direct experience and focused reflection in order to increase knowledge, develop skills, clarify values, and develop people’s capacity to contribute to their communities” (para. 1). In essence, experiential education is the process of learning through experience and reflection.
Methods of instruction in the Neuroscience for Counselors course were consistent with the 12 principles of practice outlined by the AEE (2019b). For example, class assignments provided students with the opportunity for reflection, critical thinking, and personal application. The instructor’s teaching roles included “setting suitable experiences, posing problems, setting boundaries, supporting learners, insuring physical and emotional safety, and facilitating the learning process” (AEE, 2019b, para. 9). Sakofs (2001) cautioned that experiential activities can be misused by educators as a form of entertainment with no real educational value. The following six assignments were designed with the intention to deepen students’ understanding of neuroscience concepts as they relate to the profession of counseling.
Six Neuroscience Course Assignments
Developing a neuroscience-informed guided metaphor. Historically, neuroscience has been considered the realm of the medical professional or psychiatrist who has studied the complex inner workings of the brain. Developing a neuroscience-informed guided metaphor provides counseling students the experiential opportunity of taking an unfamiliar concept or idea (i.e., using neuroscience-informed counseling) and making it more accessible by relating it to ideas they are already familiar with (Jamrozik, McQuire, Cardillo, & Chatterjee, 2016; Lawson, 2005). For this assignment, students were assigned to read the article “The Birth of the Neuro-counselor?” (Montes, 2013), in which the term neurocounselor was first used. The article introduces and encourages students to begin thinking about what it means to use neuroscience-informed counseling in practice and how it influences their professional identity as a counselor.
After reading the article, students illustrated a guided metaphor that could be used to inform their model of neuroscience-informed counseling practice. Students were provided with the prompt, “Neuroscience-informed counseling is _________” and then asked to fill in the blank with a noun. Students included a paragraph explaining their choice in metaphor and how they came to make that decision. Students were asked to share their metaphors with their peers in class. A student’s illustration could be a visual representation, in writing, or a combination of both. Metaphor is, simply put, the practice of describing one thing in terms of another (Tay, 2017b). More specifically, the use of metaphor increases understanding of a less well-understood concept or idea by describing it in terms of something that is better understood. In the assignment described above, students generated metaphors such as “neuroscience-informed counseling is the first mission to the moon,” “neuroscience-informed counseling is a penlight in a dark maze,” and “neuroscience-informed counseling is a puzzle” to be solved. Lawson (2005) extolled the virtues of metaphors in counseling, noting that they “can help the counselor connect to the client’s world” (p. 135). The use of neuroscience metaphors, whether generated by the client or the counselor, can aid in promoting empathy and therefore trust (Luke, 2017) and can aid in learning neuroscience concepts (Michael & Luke, 2016). For example, in the wildly popular “I Had a Black Dog, His Name Was Depression” World Health Organization video on YouTube (over 9 million views as of this writing), depression is compared to a black dog that affects every facet of an individual’s life (World Health Organization, 2012). The metaphor works by comparing an abstract concept like depression with something concrete like a black dog. It enables the client to experience their depression as something happening to them, not emerging from their core self. When incorporated with relevant neuroscience information, the metaphor takes on increased significance. This black dog hijacks a person’s will, leaving them with diminished options for meaningful action.
Developing metaphors for the counselor’s roles when using neuroscience-informed counseling can clarify and strengthen counselor identity. When introducing this assignment, it is important to note that neuroscience-informed counseling is not its own therapeutic orientation. Whereas many graduate counseling programs have courses focused on advanced therapeutic orientations, such as solution-focused therapy or motivational interviewing, a course in neuroscience for counselors can strengthen a counselor’s current theoretical framework (Luke, 2017). For example, counselors practicing cognitive behavior therapy who learn about Hebb’s rule (1949), which states that “neurons that fire together wire together,” along with the concept of neuroplasticity, have another avenue of support for clients working to make positive behavioral changes. In this example, neuroscience can help the client gain awareness of the neurological structures that reinforce their behavior and also provide hard evidence that change is possible (Li et al., 2019). Neuroscience-informed counseling is one of many tools in the counselor toolbox. In addition to conceptualizing neuroscience-informed counseling as part of their professional identity, students also learn content knowledge of the brain’s structures, systems, and functions.
Brain structures, systems, and functions book. This assignment required students to research the basic structures, systems, and functions of the human brain and design their own book. The instructor provided students black and white images of various structures of the brain discussed in the class textbook. Images included lateral and dorsal views of the brain, the two hemispheres of the brain, the three divisions of the brain (i.e., forebrain, midbrain, and hindbrain), the four lobes of the brain (i.e., frontal, temporal, occipital, and parietal), the anatomy of a neuron, and a stem chart of the nervous system tasks, including the sympathetic and parasympathetic nervous system functions. This approach is supported by works such as the Wammes, Meade, and Fernandes (2016) investigation of the neural processes of storing and retrieving memory. The authors found that drawing important words and phrases improves one’s ability to remember important concepts. Students were asked to use various mediums, including colored pencils, crayons, and markers, to label and highlight the different neuroanatomy. Students also were asked to use their class textbook to write descriptions of the functions of these parts of the brain within their assignment.
Mental health diagnoses can be intimidating for clients, as can the symptoms of a disorder. Anchoring a client’s experience in their neurobiology can increase their understanding of what is happening. Basic neuroscience information can empower them to learn more about, and in some ways objectify, their experience. In other words, knowledge of the underlying brain function can encourage clients to reflect on mind and body and how they interact. For example, depression is a result of brain function, but the choices an individual makes in response can be a function of the mind. In practice, clients can be led through the process of identifying brain function and mind function.
The brain structures, systems, and functions book assignment helps to empower students by providing them with the language and imagery surrounding neuroanatomy. Once counselors feel confident in their knowledge of basic brain regions and systems they can use it to empower clients by providing them a physiological explanation of their experiences. For example, knowledge about the autonomic nervous system can help a client struggling with generalized anxiety disorder. According to the Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5; American Psychiatric Association, 2013), generalized anxiety disorder is characterized by excessive anxiety and worry that is difficult to control, with symptoms that might include restlessness, feeling on edge, being easily fatigued, difficulty with concentration, muscle tension, and sleep disruptions. Clients struggling with generalized anxiety disorder can feel as if they are in a constant state of emergency. Understanding how the sympathetic nervous system prepares the body for emergencies can help a client understand what they are experiencing at a physiological level. This can make them more receptive to interventions that activate their parasympathetic nervous system functions and move them from “fight or flight” to “rest and digest.” Once students in the course obtained content knowledge regarding the brain’s structures, systems, and functions, they applied that knowledge in dyads.
Dyads. Experiential learning takes careful planning, structuring of lessons, and intentionality in teaching practices (AEE, 2019). Experiential activities such as dyads can help students learn the material through the act of “doing.” Tollerud and Vernon (2011) described the benefits of experiential learning as “promoting interest in a topic, supporting student retention of the material, and involving students in their education” (p. 285).
Luke (2017) outlined neuroscience concepts that can be used as interventions with clients
(e.g., memory systems, Hebb’s rule, left and right brain processing, mirror neurons, attention, and mindfulness). In the neuroscience course, students practiced discussing neuroscience concepts in dyads where they took turns acting as counselor and client. The neuroscience concepts coincided with Chapters 3–10 in the textbook. This provided practice for students using the neuroscience concepts with specific theoretical approaches (e.g., contemporary psychodynamic, behavioral approaches, humanistic approaches, and constructivist approaches), but also could align with a particular mental health diagnosis (e.g., anxiety, depression, stress disorders, and substance use disorders). For example, discussion about Hebb’s rule may apply to counselors working from a behavioral approach or counselors working with clients struggling with specific issues such as substance use.
The instructor provided a dyad prompt for students relating to the chapter material for that class session. For instance, the prompt for Chapter 3, Contemporary Psychodynamic Approaches and Neuroscience, was, “Tell me more about your early memories pertaining to key relationships (i.e., parents, siblings, guardians)” and “How do you feel these early memories influence your key relationships today?” The discussion prompt provided the student counselor an avenue to discuss the neuroscience concepts identified in the chapter (i.e., relationships in the brain/interpersonal neurobiology, consciousness, and memory systems) with their mock client. Students were graded on their ability to use the neuro-concepts and attend to their fundamental counseling skills (e.g., unconditional positive regard and empathy).
The dyad activities also highlight the positive benefits of right hemisphere to right hemisphere connections validated through neuroscience. According to Badenoch (2008), right hemisphere to right hemisphere connections are at the root of change, as interpersonal connections are rooted in the neural processes of the right hemisphere. Practicing mock counseling sessions provides students the opportunity to develop healthy relationships with their peers in class. This experience can later become a parallel process by which they use the positive experience in class with their future clients.
In counseling, two approaches parallel the class experience. In the first, counselors can apply the same material described above with their clients, using process-based psychoeducation. For example, the counselor can present information on the neurobiology and role of early memories, relationships (past and present), and consciousness/unconsciousness in the client’s depression. They can then ask the questions described above directly to the client. The second approach involves a Gestalt technique wherein the client’s depression, their brain, and the client themselves all sit together in the room. The client is guided through a discussion with these constituent parts in order to better understand the role that each plays in the living of the client’s life. As students completed each dyad, a system was created for them to reflect on their experience as described below.
The N-PAL (Neuroscience-Personal Analysis Log). According to Faiver, Brennan, and Britton (2012), the purpose of a personal analysis log (PAL) “is to help students track their progress over the semester in terms of self-awareness and comfort level with the counseling process” (pp. 292–293). Students completed nine neuroscience personal analysis logs (N-PALS) throughout the course. Entries were made in class after each dyad. Students were given the opportunity to analyze and express their feelings in relation to the dyad activities and course material. The purpose of the N-PAL was to help students reflect on their counseling work while integrating neuroscience concepts into the mock counseling sessions with their classmates.
N-PALs consisted of five questions: (a) On a scale from 1–10, how confident do you feel applying the assigned theoretical approach for this dyad? (b) On a scale from 1–10, how confident did you feel using neuroscience concepts in this dyad? (c) What were some new areas of growth and development during this dyad? (d) Assess your own performance during this dyad and provide specific examples, and (e) What is your reaction to the course material (i.e., assigned reading, class lecture, videos, discussion)? The N-PAL’s structure is consistent with the experiential education principle, which states that experiences are structured to require the learner to take initiative and make decisions and be accountable for results (AEE, 2019). The questions were developed to encourage students to reflect on their dyadic experiences and think critically about their neuroscience-informed interventions while being held accountable for areas of growth and development.
Exploring neuroscience-informed technology. With the increased focus on neuroscience in popular culture and media, there has been an influx of new neuroscience-informed technology. Students were asked to find three technological tools that could inform their neuroscience-informed clinical work. The tools were to fall into three distinct categories: one app (e.g., mindfulness, anxiety, or brain information app), one video (e.g., YouTube, TedTalk), and one technological application (e.g., pulse oximeter, biofeedback equipment, EEG reader). After identifying the neuroscience-informed technology tools, students posted on an online discussion board describing how they would use their identified tools in a counseling session.
There is an abundance of neuroscience-informed technology on the market today. Counselors recommending meditation apps or assorted TedTalks to their clients may be using this technology without awareness of their neuroscientific implications. Counselors do not have to work from memory alone but can take advantage of the growing number of resources available today (e.g., journal articles, books, apps, videos). Counselors who take advantage of resources also must be savvy consumers. For example, prior to recommending apps or videos to clients with neuroscience-related material, counselors should check the source to confirm it is reputable and use the material themselves. Whereas the neuroscience-informed technology discussion post helped to build awareness of technological tools, the final case conceptualization paper served to showcase the content students gained throughout the course.
Case conceptualization. As a summative assignment, students completed a three-part case write-up that demonstrated their ability to conceptualize client issues and apply neuroscience-informed interventions. The instructor provided students with a fictional client case vignette, including biopsychosocial information. The first part of the assignment required students to use an 8-factor meta-model (Luke, 2017, 2019) to conceptualize their client’s case. This 8-factor model is a holistic model identifying eight components that every counselor must consider when working with clients: thoughts, feelings, behaviors, environments, experiences, biology and genetics, relationships, and the socio-cultural context in which the client lives.
Students were asked to include neuro-concepts in their discussion of each of the factors. For example, if the student identified that the client was experiencing anxious thoughts, they would include a description of how the amygdala modulates the client’s reactions to events perceived as dangerous or scary. This part of the assignment demonstrated the counseling student’s mastery of case conceptualization in conjunction with their understanding of how neuroscience concepts can influence the client’s symptoms.
The second part required students to review their conceptualization and write a phenomenological description of the client across the eight factors of the model. A phenomenological description provides an opportunity for students to consider, beyond the prescribed clinical note, what it might be like to “walk in this client’s shoes.” Writing a phenomenological description uses right-brain processing skills of creativity and intuitiveness. Although the description is the student’s interpretation of the client’s experience, the exercise can strengthen skills in empathic awareness and creative thinking. Thinking about the phenomenology of a client (i.e., what would it be like to walk in the client’s shoes?) can deepen therapeutic rapport, strengthen conceptualization skills, and help build empathy.
The third part of the assignment was for students to select a theoretical approach, along with a rationale for their choice, and create a transcript of a session with the client. The transcript had to include a brain-based counseling intervention (e.g., discussion about Hebb’s rule, neuroplasticity, or memory storage). Neuroscience is an essential tool for helping clients understand what is happening to them. For example, a client who has suffered a trauma and is struggling to understand why they cannot remember events clearly may find respite in knowledge regarding how traumatic memories are stored in their brain. Knowledge about neuroscience can help normalize and validate clients’ experiences.
In summary, six assignments were described above: neuroscience-informed guided metaphor; brain systems, structures, and functions book; dyads; the N-PAL; exploring neuroscience-informed technology; and a case conceptualization paper. The assignments were developed to build students’ understanding of the material and improve their ability to integrate neuroscience into their case conceptualization, treatment planning, and counseling skills. With the growth of neuroscience integration into the counseling profession, best practice dictates that ethical and cultural considerations are addressed.
Ethical Considerations
With nascent developments in the counseling profession, such as neuroscience-informed counseling, come potential risks to clients’ well-being. The ACA Code of Ethics (2014) states that “Counselors practice only within the boundaries of their competence, based on their education, training, supervised experience, state and national professional credentials, and appropriate professional experience” (Standard C.2.a). Scholarly literature has recognized the need for professional counselors to work within their scope of practice (Luke, 2019). As the counseling profession continues to integrate neuroscience into practice, the boundaries of that practice are not always clear. For instance, at what level of integration must counselors be educated in neuroscience explicitly? Who governs the practice of integration and ensures that counselors are following best practice, especially when best practice has not been established?
Each of the three areas described above—neuroeducation, neurofeedback, and metaphor—present distinct ethical challenges. Neuroeducation, like psychoeducation, can become too didactic and place counselors in the role of content expert, as opposed to process expert. It may be easy for counselors to share brain information with their clients, becoming dependent on sharing facts instead of sharing a process. Studies have demonstrated the potential for harm in the helping relationship when clients view helpers as aloof related to neuro-speak, as clients may feel powerless to change their neurobiology (Kim, Ahn, Johnson, & Knobe, 2016; Lebowitz & Ahn, 2014).
Neurofeedback can require advanced knowledge in technological interventions. For example, neurofeedback often requires the use of technological equipment to read and equalize brainwave activity. The Biofeedback Certification International Alliance (n.d.) offers a training program specifically for neurofeedback certification. With certification comes a level of oversight and guidance that promotes proper training of practitioners. However, certification is not a legal requirement to use neurofeedback in counseling practice. Therefore, what is a counselor’s ethical responsibility to acquire education in the use of neurofeedback equipment with clients? How much education is enough to be considered competent? Also, in terms of counselor identity, can neurofeedback be considered counseling or is it an adjunct to counseling?
Given these concerns, the use of metaphor may be a reasonable middle ground wherein counselors are still integrating neuroscience into counseling, but not to the extent that it becomes something different. The use of metaphor is less about teaching clients and more about coming to a mutual understanding of the client’s experience using terms that make sense and matter to the client (Tay, 2012). However, this approach requires the counselor to understand brain function and to stay current in the literature to ensure that the metaphor is accurate and apropos to the client situation. For example, memory has been likened to a video recording of events, yet the function of memory has been demonstrated as far more constructed than a recording of facts. In this case, memory is more like a movie wherein the recordings have been edited to tell the story based on the movie-maker’s experience and desire. It is imperative for professional counselors to consider standards of ethical practice in order to meet the ethical principles of beneficence and nonmaleficence. Similarly, counselors also have a responsibility to be aware of cultural considerations when integrating neuroscience into their counseling practice.
Cultural Considerations
There is a power differential in the therapeutic relationship, in part because of the needs and vulnerabilities that can accompany clients when seeking counseling. Clients might feel disempowered in the counseling relationship because of intersections of race, gender, age, spirituality, and social and economic status (Ratts, Singh, Nassar-McMillan, Butler, & McCullough, 2016). In addition, if counselors use language about the brain that may be perceived as intimidating or unsafe by clients, it could harm the therapeutic relationship. Integrating neuroscience into the counseling profession requires counselors to develop self-awareness surrounding neuroscience terminology and power inequalities in the counseling relationship. It is vital for counselor educators to consider the ethical and cultural implications of teaching a neuroscience-informed counseling course in order to help students learn how to facilitate a therapeutic environment where clients feel safe to process their experiences.
Conclusion
Given the benefits of neuroscience-informed counseling to treat behavioral and mental health concerns, counselor educators must begin to integrate neuroscience-informed counseling into the curriculum. Developing a neuroscience for counselors course using the aforementioned recommendations for course structure and methods for instruction is one approach to meeting this need. Assignments included a neuroscience-informed guided metaphor; development of a brain structures, systems, and functions book; dyads to practice using neuroscience-informed counseling interventions; N-PALs for reflection; a neuroscience-informed technology discussion post; and a summative case conceptualization paper. Integrating neuroscience-informed counseling into the counseling curriculum, while simultaneously addressing ethical and cultural considerations, has the potential to improve graduate students’ case conceptualizations, treatment planning, and counseling skills.
Conflict of Interest and Funding Disclosure
The authors reported no conflict of interest
or funding contributions for the development
of this manuscript.
References
American Counseling Association. (2014). ACA code of ethics. Alexandria, VA: Author.
American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Arlington, VA: Author.
Association for Experiential Education. (2019a). What is experiential education? Retrieved from https://www.aee.org
/what-is-ee
Association for Experiential Education. (2019b). The principles of practice. Retrieved from https://www.aee.org/what-is-
ee
Badenoch, B. (2008). Being a brain-wise therapist: A practical guide to interpersonal neurobiology. New York, NY:
W.W. Norton & Co.
Biofeedback Certification International Alliance. (n.d.). Neurofeedback certification. Retrieved from https://www.bcia.org
/i4a/pages/index.cfm?pageid=3431
Beeson, E. T., & Field, T. A. (2017). Neurocounseling: A new section of the Journal of Mental Health Counseling. Journal of Mental Health Counseling, 39, 71–83. doi:10.17744/mehc.39.1.06
Council for Accreditation of Counseling and Related Educational Programs. (2015). 2016 CACREP standards. Alexandria, VA: Author.
Dewey, J. (1938). Logic: The theory of inquiry. New York, NY: Holt, Rinehart and Winston.
Faiver, C. M., Brennan, M. C., & Britton, P. J. (2012). Field placement: “Where the rubber hits the road.” In D. M. Perera-Diltz & K. C. MacCluskie (Eds.), The counselor educator’s survival guide: Designing and teaching outstanding courses in community mental health counseling and school counseling (pp. 283–297). New York, NY: Routledge.
Field, T. A, Jones, L. K., & Russell-Chapin, L. A. (2017). Neurocounseling: Brain-based clinical approaches. Alexandria, VA: American Counseling Association.
Fishbane, M. D. (2013). Loving with the brain in mind: Neurobiology & couple therapy. New York, NY: W. W. Norton.
Hayes, S. C. (2004). Acceptance and commitment therapy, relational frame theory, and the third wave of behavioral and cognitive therapies. Behavior Therapy, 35, 639–665. doi:10.1016/S0005-7894(04)80013-3
Hebb, D. O. (1949). The organization of behavior: A neuropsychological theory. New York, NY: Wiley.
Jamrozik, A., McQuire, M., Cardillo, E. R., & Chatterjee, A. (2016). Metaphor: Bridging embodiment to abstraction. Psychonomic Bulletin & Review, 23(4), 1080–1089. doi:10.3758/s13423-015-0861-0
Kalat, J. W. (2019). Biological psychology (13th ed.). Belmont, CA: Cengage.
Kandel, E. R. (1976). Cellular basis of behavior: An introduction to behavioral neurobiology. Oxford, England: W. H. Freeman.
Kandel, E. R., Dudai, Y., & Mayford, M. R. (2014). The molecular and systems biology of memory. Cell, 157, 163–186. doi:10.1016/j.cell.2014.03.001
Kim, N. S., Ahn, W.-K., Johnson, S. G. B., & Knobe, J. (2016). The influence of framing on clinicians’ judgments of the biological basis of behaviors. Journal of Experimental Psychology: Applied, 22, 39–47. doi:10.1037/xap0000070
Kolb, D. A. (1984). Experiential learning: Experience as the source of learning and development. Englewood Cliffs, NJ: Prentice Hall.
Lawson, G. (2005). The hero’s journey as a developmental metaphor in counseling. The Journal of Humanistic Counseling, Education and Development, 44, 134–144. doi:10.1002/j.2164-490X.2005.tb00026.x
Lebowitz, M. S., & Ahn, W.-K. (2014). Effects of biological explanations for mental disorders on clinicians’ empathy. Proceedings of the National Academy of Sciences, 111, 17786–17790. doi:10.1073/pnas.1414058111
Li, J., Park, E., Zhong, L. R., & Chen, L. (2019). Homeostatic synaptic plasticity as a metaplasticity mechanism—
A molecular and cellular perspective. Current Opinion in Neurobiology, 54, 44–53. doi:10.1016/j.conb.2018.08.010
Lorelle, S., & Michel, R. (2017). Neurocounseling: Promoting human growth and development throughout the
life span. Adultspan Journal, 16(2), 106–119. doi:10.1002/adsp.12039
Luke, C. (2016). Neuroscience for counselors and therapists: Integrating the sciences of mind and brain. Thousand Oaks, CA: SAGE.
Luke, C. (2017). Learner-centered counseling theory: An innovative perspective. Journal of Creativity in Mental Health, 12, 305–319. doi:10.1080/15401383.2016.1249445
Luke, C. (2019). Neuroscience for counselors and therapists: Integrating the sciences of mind and brain (2nd ed.). San Diego, CA: Cognella Academic Press.
Luke, C., Redekop, F., & Jones, L. K. (2018). Addiction, stress, and relational disorder: A neuro-informed
approach to intervention. Journal of Mental Health Counseling, 40, 172–186. doi.org/10.17744/mehc.40.2.06
Michael, T., & Luke, C. (2016). Utilizing a metaphoric approach to teach the neuroscience of play therapy: A pilot study. International Journal of Play Therapy, 25, 45–52.
Makinson, R. A., & Young, J. S. (2012). Cognitive behavioral therapy and the treatment of posttraumatic stress disorder: Where counseling and neuroscience meet. Journal of Counseling & Development, 90, 131–140. doi:10.1111/j.1556-6676.2012.00017.x
Miller, R. (2016). Neuroeducation: Integrating brain-based psychoeducation into clinical practice. Journal of Mental Health Counseling, 38(2), 103–115. doi:10.17744/mehc.38.2.02
Montes, S. (2013, November 25). The birth of the neuro-counselor? Counseling Today, 32–40.
Myers, J. E., & Young, J. S. (2012). Brain wave biofeedback: Benefits of integrating neurofeedback in counseling. Journal of Counseling & Development, 90, 20–28. doi:10.1111/j.1556-6676.2012.00003.x
Ratts, M. J., Singh, A. A., Nassar-McMillan, S., Butler, S. K., & McCullough, J. R. (2016). Multicultural and social justice counseling competencies: Guidelines for the counseling profession. Journal of Multicultural Counseling and Development, 44, 28–48. doi:10.1002/jmcd.12035
Rogers, C. R. (1969). Freedom to learn (1st ed.). Columbus, OH: Merrill.
Russell-Chapin, L. A. (2016). Integrating neurocounseling into the counseling profession: An introduction.
Journal of Mental Health Counseling, 38(2), 93–102. doi:10.17744/mehc.38.2.01
Sakofs, M. (2001). I shouldn’t have done it. Next time I won’t. Perspectives. The Journal of Experiential Education, 24, 5–6. doi:10.1177/105382590102400103
Schore, A. N. (2010). The right brain implicit self: A central mechanism of the psychotherapy change process. In J. Petrucelli (Ed.), Knowing, not-knowing and sort-of-knowing: Psychoanalysis and the experience of uncertainty (pp. 177–202). London, England: Karnac.
Siegel, D. J. (2015). The developing mind: How relationships and the brain interact to shape who we are (2nd ed.). New York, NY: Guilford.
Sweatt, J. D. (2016). Neural plasticity and behavior—Sixty years of conceptual advances. Journal of Neurochemistry, 139, 179–199. doi:10.1111/jnc.13580
Tang, Y. Y., Hölzel, B. K., & Posner, M. I. (2015). The neuroscience of mindfulness meditation. Nature Reviews Neuroscience, 16, 213–225. doi:10.1038/nrn3916
Tay, D. (2012). Applying the notion of metaphor types to enhance counseling protocols. Journal of Counseling & Development, 90, 142–149. doi:10.1111/j.1556-6676.2012.00019.x
Tay, D. (2017a). Exploring the metaphor–body–psychotherapy relationship. Metaphor and Symbol, 32(3), 178–191. doi:10.1080/10926488.2017.1338021
Tay, D. (2017b). The nuances of metaphor theory for constructivist psychotherapy. Journal of Constructivist
Psychology, 30, 165–181. doi:10.1080/10720537.2016.1161571
Tollerud, T. R., & Vernon, A. (2011). Teaching counseling children and adolescents. In K. Erikson (Ed.), Handbook of counselor preparation: Constructivist, developmental, and experiential approaches (pp. 277–293). Thousand Oaks, CA: SAGE.
Wammes, J. D., Meade, M. E., & Fernandes, M. A. (2016). The drawing effect: Evidence for reliable and robust memory benefits in free recall. The Quarterly Journal of Experimental Psychology, 69, 1752–1776. doi:10.4135/9781452230498.n18
World Health Organization. (2012, October 2). I had a black dog, his name was depression. Retrieved from
https://www.youtube.com/watch?v=XiCrniLQGYc
Deborah L. Duenyas is an assistant professor at Kutztown University of Pennsylvania. Chad Luke is an associate professor at Tennessee Technical Institute. Correspondence can be addressed to Deborah Duenyas, OMA Wing – Room 412, P.O. Box 730, Kutztown, PA 19530, duenyas@kutztown.edu.
Nov 11, 2019 | Volume 9 - Issue 4
Allison Crowe, Paige Averett, Janeé R. Avent Harris, Loni Crumb, Kerry Littlewood
The following study assessed the utility of the U. S. Department of Health and Human Services’ definition of mental health among participants in the rural Southeastern United States. Using deductive coding, qualitative results revealed that participants do not conceptualize mental health in comprehensive terms. Rather, they tend to describe mental health with a focus on cognition. The sample articulated “well-being” to describe mental health; however, they most often connected it to cognition. The findings suggest that rural communities could benefit from mental health education with a holistic approach and that the use of the term well-being provides a pathway for clinical connections. Future research should consider interviewing rural participants to gather more detail on their definitions and understanding of mental health.
Keywords: mental health, education, cognition, rural, well-being
Mental illness is a pervasive health care concern in the United States. Even though approximately one fifth of adults experience mental health concerns in any year, only 70% of those in need of mental health services seek care (National Alliance on Mental Illness, 2015). Because of how common and widespread mental health conditions are in the United States, mental health professionals have become increasingly aware that educating the public about mental illness is of utmost importance. Mental health literacy (MHL; Jorm, 2012), or the knowledge and beliefs about disorders that assist in the recognition, prevention, or management of a mental health concern, is one way those who are struggling with mental health concerns can manage mental illnesses more effectively. Improving MHL can have the capacity to positively impact negative attitudes, biases, or assumptions that are associated with having a mental illness as well as assist with help-seeking so those who have a mental illness will receive necessary treatment (Crowe, Mullen, & Littlewood, 2018; Jorm, 2012; Kutcher, Wei, & Coniglio, 2016). Researchers have consistently demonstrated that a stigma still exists toward seeking help for mental health concerns and that reducing that stigma is of utmost importance (Kalkbrenner & Neukrug, 2018).
Increasing help-seeking behaviors might best be done through first exploring attitudes and perceptions, as cognitions are closely tied to emotions and behaviors. Therefore, the current study is framed through the theoretical lens of cognitive behavioral therapy (CBT; A. T. Beck, 1970). CBT is based on the notion that how one thinks, feels, and acts are all intertwined. Specifically, one’s thoughts impact how one feels and behaves. Because of this, negative or unrealistic thoughts may contribute to psychological distress. When a person feels distressed, the way that they interpret situations may become skewed or distorted, which then impacts their behavior. From the lens of CBT, one’s decision to not seek treatment for a mental health concern may be closely tied to the thoughts and feelings they hold about negative associations about mental illness. Counselors who practice from a CBT perspective work with clients to identify and eliminate cognitive distortions in order to minimize painful emotions and promote more adaptive behaviors. CBT has been applied to diverse populations and found to be effective with various presenting concerns (A. T. Beck, 1970; J. S. Beck, 2011; Crumb & Haskins, 2017).
Cognitive distortions exist as they relate to having a mental health concern, and researchers have shown that rural residents with mental health concerns fear being negatively labeled, stereotyped, and discriminated against and thus are apprehensive to seek mental health care services (Crumb, Mingo, & Crowe, 2019). Therefore, it is vital that counselors and other mental health providers consider how clients’ thoughts, beliefs, experiences, and other contextual factors contribute to their understanding of mental illness. Intentional acknowledgment of the factors that influence clients’ perceptions, attitudes, and behavior may enhance treatment efficacy for rural residents (Crumb & Haskins, 2017). Along with exploring negative thoughts related to mental health, researchers also have considered MHL, or one’s understanding of mental health, as it impacts behaviors.
Mental Health Literacy (MHL)
Health literacy researchers suggest low health literacy is related to a number of negative health outcomes, including higher instances of chronic illness, lower usage of health care programs, higher costs of health care, and premature death (Baker et al., 2007; Berkman, Sheridan, Donahue, Halpern, & Crotty, 2011). The World Health Organization (WHO; 2013) posits that health literacy is more important than demographic factors (e.g., income, employment, status, education, race, ethnicity) as they relate to health status. Perhaps because of this, the importance of health literacy is well established in the health professions.
In a 2011 literature review on health literacy outcomes, Berkman and colleagues found that lower levels of health literacy were related to more hospitalizations, increased emergency center use, misuse of medications, confusion with medication instructions, higher death rates, and poorer overall health among the elderly. Baker and colleagues (2007) had similar findings related to the impact of poor health literacy on health outcomes. In Baker et al.’s cohort study (N = 3,260), inadequate health literacy independently predicted mortality and death because of cardiovascular disease in elderly populations. They concluded that health literacy is an influential component of overall health.
Compared to general health literacy, the same cannot be said specifically for MHL in the field of mental health. In fact, knowledge of mental health concerns is greatly lacking and largely ignored (Jorm, 2012). The most current study related to MHL found that MHL had a negative relationship to self-stigma of mental health concerns and help-seeking, signifying that when a person knows more information about mental health, they have less stigma about mental health concerns and engage in more help-seeking behaviors (Crowe et al., 2018). In this same study, health outcomes (i.e., blood pressure and body mass index) were assessed to test whether MHL was related to improved physical health. Results were nonsignificant, suggesting that there was not a relationship between MHL and physical health outcomes.
Regional disparities and sociodemographic variations in treatment utilization and efficacy reflect a crucial need for increasing MHL in rural areas in particular (Smalley, Warren, & Rainer, 2012; Snell-Rood et al., 2017). Although prevalence rates of mental health concerns are similar to urban and suburban regions, the amount of and access to mental health services differ vastly in rural regions. Rural residents have fewer options for services, and in fact many rural areas have no health care services at all (Rural Health Information Hub, 2017). Residents in rural regions must travel greater distances for mental health services, are less likely to have health insurance, and have lower MHL (Rural Health Information Hub, 2017). Therefore, professional literature and research studies that assist with raising knowledge about MHL are warranted, as the current literature based on this topic is lacking, especially as it relates to types of settings and samples of the population. Thus, the current study was an attempt to address this gap in the literature. The following section focuses on what is known about mental health in rural areas and highlights the salient issues that are of importance to clinicians and researchers alike.
Mental Health in Rural Areas
The mental health of rural residents is of importance, as 16% of the U.S. population lives in rural areas (Rainer, 2012). Of those living in the rural United States, 90 million residents live in areas that have been designated as Mental Health Professional Shortage Areas and are lacking mental health professionals and resources (Health Resources & Services Administration, 2011). Researchers, practitioners, and recipients of mental health services purport the underutilization of mental health services and inadequacies in the quality of mental health care among rural populations (Smalley et al., 2012; Snell-Rood et al., 2017). Specifically, factors related to acceptability, accessibility, and availability intensify rural mental health disparities across the United States (Office of Rural Health Policy, 2005; Smalley et al., 2012).
A study completed in Australia sought to explore perceptions about mental health in a rural sample (Fuller, Edwards, Procter, & Moss, 2000). Themes revealed a reluctance to acknowledge mental health concerns and seek help from a professional. Results also demonstrated there is a mental health stigma that is particular to rural communities. Although the study provided an initial look at how mental health can be understood in rural areas, the sample consisted of mental health professionals and others who were knowledgeable about mental health issues rather than those from the general client population.
Mental health stigma is one of the most common reasons for unmet mental health needs in rural areas (Alang, 2015; Stewart, Jameson, & Curtin, 2015). For example, residents in rural communities report fear of taking psychotropic medications and that seeking treatment for mental health might adversely impact their employment (Snell-Rood et al., 2017; Stewart et al., 2015). Resultantly, rural clients who experience mental illness enter mental health care later, present with more serious symptoms, and often require more intensive treatment (Smalley et al., 2012). Insufficient MHL, such as misinformation related to common mental health disorders and treatment, can lead to lower rates of recognizing symptoms of depression, anxiety, and an array of other mental health concerns among rural residents in various ethnic and age groups (Kim, Saw, & Zane, 2015).
A quantitative study conducted by Alang (2015) investigating the sociodemographic disparities of unmet health care needs revealed men in rural areas were more likely to forgo mental health care because of gender stereotypes about mental health problems that encourage men to ignore mental health concerns and avoid help-seeking behaviors. Similarly, Snell-Rood et al. (2017) found that rural women face issues with mental health treatment quality and stigma related to specific disorders such as depression as well as a cultural expectancy of self-reliance, which impacts treatment efficacy. Study participants shared that the quality of counseling in their rural settings was unsatisfactory because of counselors recommending coping strategies that were “inconsistent” with their daily routines and beliefs, not offering adequate “direction” on how to approach treatment for their concerns, and having a lack of therapeutic interaction (Snell-Rood et al., 2017). Because of negative perceptions of the quality of mental health treatment, many women in the study were ambivalent in regard to seeking professional help. Rather, they relied on their personal approaches to symptom management (e.g., avoidance, reflection, and prayer).
Accessibility of mental health services is a significant concern in rural areas. Rural residents face challenges in finding transportation to facilities for professional care. Consequently, rural residents often forgo attaining adequate and timely mental health treatment (Alang, 2015; Hastings & Cohn, 2013). Rural residents often depend on alternative sources such as faith-based organizations to address mental health concerns (Bryant, Moore, Willis, & Hadden, 2015) or ignore the prevalence of mental health symptomology altogether (Snell-Rood et al., 2017). Unfortunately, researchers indicated that rural residents seek treatment for mental health disorders after they have become progressively worse, resulting in more extensive treatment, which is often unavailable or costly for rural clients (Gore, Sheppard, Waters, Jackson, & Brubaker, 2016; Hastings & Cohn, 2013; Snell-Rood et al., 2017). Deen and Bridges (2011) suggested these delays in seeking mental health treatment are associated with low MHL.
Treatment availability for mental health care in rural areas is fragmented because of critical shortages in mental health care providers in these communities (El-Amin, Anderson, Leider, Satorius, & Knudson, 2018; Snell-Rood et al., 2017). Practitioner shortage is attributed to difficulty in recruiting and retaining professionals for rural practice as well as practitioners’ limited understanding of cultural norms and effective interventions to address mental health needs in rural communities (Fifield & Oliver, 2016; Hastings & Cohn, 2013). Among practitioners who provide clinical services in rural areas, many report feeling incompetent to work with the population because of receiving fewer training opportunities to learn how to work with rural populations, less access to consultation resources, and professional isolation (Hastings & Cohn, 2013; Jameson & Blank, 2007). Fifield and Oliver (2016) found the most common need of rural-area mental health professionals was training opportunities specific to rural mental health counseling. Pointedly, rural mental health service providers are encouraged to tailor interventions and informational material to meet the needs of the specific communities in which they practice (Crumb, Haskins, & Brown, 2019; El-Amin et al., 2018). For example, a qualitative study examining the experience of rural mental health counselors found it was necessary for rural counselors to modify their interventions to include community-based interventions and expand their roles to include consulting, advocacy, and case management to effectively meet the needs of rural clientele (Crumb, Mingo, & Crowe, 2019). In 2012, rural-specific supplemental materials and curricula were integrated into the standard Mental Health First Aid program, a training course disseminated by the National Council for Behavioral Health to address gaps in MHL by teaching skills to help individuals identify, understand, and respond to mental illness (El-Amin et al., 2018; National Council for Behavioral Health, 2019). Based upon extant research evidence, cultural distinctions in rural living impact MHL and, subsequently, the quality of mental health care in rural regions of the United States.
Despite the above-mentioned disparities, there are opportunities for improving the mental health care of those in underserved rural areas. By becoming familiar with how rural residents in the United States define mental health and investigating the sociodemographic idiosyncrasies in the meaning of mental health for rural residents in specific regions of the United States, mental health practitioners can understand how to better address needs, counter structural barriers to treatment, and improve overall mental health care in rural areas. As far as we are aware, there are no studies that have examined how those in rural communities define and conceptualize mental health. Thus, the current study was designed to fill this gap in the literature.
This study sought to understand how individuals in the rural Southeast define and conceptualize mental health in order to explore MHL and serve as a guidepost to providing culturally relevant services to residents in these regions. Areas in the Southern United States have a high concentration of rural residents who potentially have less access to mental health services, which may influence their overall MHL (El-Amin et al., 2018). Furthermore, we know little about how rural populations define mental health and the knowledge and beliefs that undergird their understanding of mental health. Rather, we have definitions of mental health that are taken from large national and international entities (e.g., U.S. Department of Health and Human Services, Centers for Disease Control and Prevention [CDC], WHO) that offer broad ways of understanding the term. These definitions, although useful, may not capture distinctions associated with region, socioeconomic status, or cultural group differences. Understanding how groups of people view mental health has many benefits to enhancing MHL. A more specific understanding of mental health concepts can serve as a foundation to increase the utilization of mental health services, improve the quality of care, and enhance clients’ ability to communicate concerns. If there are to be greater gains in prevention, intervention, and management of mental health in rural, southern regions of the United States, we need a comprehensive understanding of aspects that are included in perceptions of mental health—using their own words.
Methods
Procedures
Prior to data collection, the Institutional Review Board at a Southeastern U.S. university granted approval to complete the study to explore MHL. Data were collected via a paper-and-pencil survey. Research team members approached patients waiting for a regularly scheduled medical appointment with their primary care physician to complete the survey. Paper copies were stored in a locked filing cabinet within a locked office. The family medical center was located in a rural area of a state in the Southeastern United States. The family medical center where the research took place also housed a mental health provider who received referrals from the medical doctors at the same site. The research team asked permission to collect data on-site, and the lead physician at the center agreed. The mental health provider provides services to many of the same patients who receive medical care at the office. This study was part of a larger, quantitative research investigation on mental health, mental health stigma, and MHL (Crowe et al., 2018). Because of the expansive nature of the dataset, however, this article only focuses on the qualitative components of the survey.
Participants
Using published guidelines for in-person recruitment, the research team approached patients as they waited in the waiting room and asked if they would be interested in joining the research study (Felsen, Shaw, Ferrante, Lacroix, & Crabtree, 2010). When participants elected to participate in the study, they completed an informed consent and survey in the waiting area or in an exam room while waiting for the medical professional. All data were collected over the course of approximately six months. Incentives were not offered to participants and all participants could choose to opt out of participation at any time.
Participants included 102 individuals, including 65 females (63.7%) and 37 males (36.3%). A total of 70 participants identified as White (68.6%), 25 identified as Black/African American (24.5%), four identified as multiracial (3.9%), two did not know or endorsed the “other” category (2%), and one identified as Asian (1%). Regarding age, 30 (29%) participants were age 60 and above, 21 (21%) were between the ages of 50–59, another 21 (21%) were between the ages of 40–49, 14 (14%) were between the ages of 30–39, 14 (14%) were between the ages of 19–29, and two (2%) were 18 or younger. Fifty-six participants (55%) were married, while 27 (26%) were single. A total of 15 (15%) were separated/divorced, and four (4%) were widowed. One hundred and twelve participants were asked to complete the survey, and102 individuals completed the materials, yielding a 91% useable response rate. Demographic information is summarized in Table 1.
Table 1
Demographic Information
Characteristic |
n |
% |
Gender |
|
|
Male |
37 |
36.3 |
Female |
65 |
63.7 |
Ethnicity |
|
|
African American/Black |
25 |
24.5 |
Caucasian/White |
70 |
68.6 |
Multicultural |
4 |
3.9 |
Other |
2 |
1.9 |
Asian |
1 |
0.9 |
Age |
|
|
18 or younger |
2 |
1.9 |
19–29 |
14 |
13.7 |
30–39 |
14 |
13.7 |
40–49 |
21 |
20.6 |
50–59 |
21 |
20.6 |
60+ |
30 |
29.4 |
Marital status |
|
|
Married |
56 |
54.9 |
Single |
27 |
26.5 |
Separated/Divorced |
15 |
14.7 |
Widowed |
4 |
3.9 |
Seeking treatment for |
|
|
Physical health concerns |
88 |
86.3 |
Mental health concerns |
3 |
2.9 |
Both |
2 |
2 |
Treatment status |
|
|
Never sought treatment |
54 |
52.9 |
Sought treatment in the past |
48 |
47.1 |
Length of treatment |
|
|
1 year or less |
18 |
17.6 |
1–4 years |
11 |
10.8 |
5–10 years |
9 |
8.8 |
11–25 years |
5 |
4.9 |
Description of treatment |
|
|
Not at all helpful |
1 |
1 |
Somewhat helpful |
9 |
8.8 |
Generally helpful |
10 |
9.8 |
Very/Extremely helpful |
28 |
23.3 |
Family mental health |
|
|
No immediate family member with
a mental illness |
66 |
64.7 |
Immediate family member with a
mental illness |
26 |
25.4 |
Not sure |
10 |
9.8 |
Would you seek treatment for mental health concerns in the future? |
|
|
Yes |
78 |
76.5 |
No |
3 |
2.9 |
Not sure |
21 |
20.5 |
Measures
For purposes of the current analysis, an open-ended question prompted participants: “In your own words, please describe what you believe the term mental health refers to.” Analysis was completed by comparing and contrasting the participant responses to this prompt with the U.S. Department of Health and Human Services (HHS; 2019) definition of mental health. This definition states that:
Mental health includes emotional, psychological, and social well-being. It affects how we think,
feel, and act. Mental health helps determine how we handle stress, relate to others, and make
choices. It is important at every stage of life, from childhood and adolescence through adulthood.
. . . Many factors contribute to mental health problems, including: biological factors, such as
genes or brain chemistry; life experiences, such as trauma or abuse; [and] family history of mental
health problems. (para. 1–2)
We elected to use this definition as opposed to similar definitions of mental health offered by WHO or the CDC because each member of the research team chose it as the most comprehensive of the three. Although there were many overlaps in the three definitions (i.e., all three descriptions mention well-being and handling or adjusting to stressors, and included some dimension of biological, psychological, and social aspects), the HHS definition also included the notion of life stages, past life experiences, and how these factors impact mental health.
Data Analysis
The deductive qualitative analysis method (Gilgun, 2011) was used to analyze participant responses to the open-ended prompt. In deductive coding, the researchers begin with existing codes, as deductive coding is utilized to test existing theories or frameworks. Because the current research was attempting to test the HHS definition, deductive analysis was considered the most fitting analysis method by the research team.
Deductive analysis attempts to understand how a particular theory or framework is useful or not (Gilgun, 2011). In deductive coding, data is sorted as it fits with existing concepts, or codes, within a framework. Deductive coding includes levels of analysis, including open coding, axial coding, and selective coding (Strauss & Corbin, 1990). According to Gilgun (2011), during open coding, the data is read line by line, sentence by sentence, and is placed as it is understood within the existing concept(s) with which it best aligns. Axial coding then occurs to refine the existing theory or framework via further analysis of data that is already placed within concepts. This data is then reconsidered to attend to groupings or subthemes within the concept to see if further details of a theory/framework are possible. Selective coding within deductive analysis is when the data is further examined to see if there is possible reduction to a single category or core concept. Selective coding is also an attempt to refine and further consider the existing framework to determine its utility and add to its use. As well, lines or sentences that do not fit existing concepts are noted. This is referred to as negative case analysis.
In the current research, the open coding analysis process was conducted repeatedly to consider and reconsider the data and its fit to the concepts within the HHS (2019) definition of “think, feel, and act.” These three concepts in the HHS definition were evident as the most salient. To aid in coding, these three HHS concepts were further understood by utilizing several online dictionaries (e.g., Google dictionary, Merriam-Webster, dictionary.com, and Cambridge English Dictionary) to define each concept. For example, the think code included all participant responses that are associated with this term via dictionaries, including intellectual, cerebral, brain, cognitive, and rational. The research team continually used several dictionaries to understand participant responses that were not exact or clear upon first reading. For example, state of mind was coded as think because of it being defined as a cognitive process and the condition of a person’s thoughts. Axial coding then occurred through the research team reconsidering the fit of the responses to the existing codes and if further codes could be developed via negative case analysis. As demonstrated below, axial coding produced a negative case analysis, that of overall well-being. Selective coding occurred through the team considering all codes and the utility of the original framework or, in this case, the HHS definition. This utility or lack thereof is further considered in the discussion below.
The entire analysis process was completed by two members of the research team independently. Independent coding enhances credibility in the analysis process, a technique promoted among qualitative researchers (Lincoln & Guba, 1985). The two researchers met on two occasions to discuss their findings and found consistency in their coding in both meetings. This consistency is often found when pre-existing codes with set definitions are utilized, as was the case in this analysis.
Results
The following section presents the results of the deductive coding of the data in comparison to the HHS definition of mental health, specifically the concepts of how we “think, feel, and act.” The existing concepts used as codes for analysis included the psychological, emotional, and social well-being—how we think, feel, and act. Sample quotes from participants (Ps) are provided. The research team also presents further points of possible refinement of the definition and sense of a core concept.
Concepts Used to Describe Mental Health
Think, feel, and act. Only 15 participant responses provided support for a definition of mental health that encompassed all three aspects found in the HHS (2019) definition of “think, feel, and act.” One participant stated, “mental health to me personally is the state of one’s condition of emotional, mental, social and physical well-being” (P2), and another shared that mental health is the “ability to succeed, fully participate in social, emotional and occupational and recreational leisure” (P3). Thus, there was only a small subset of participants who viewed mental health as comprehensively as federally defined.
Well-being. It should be noted that although most participants did not provide comprehensive definitions that specifically mentioned all three concepts of think, feel, and act, as used by HHS, there were 23 participants in the sample who used the term well-being. As indicated in the following, well-being was not seen as specific to one area but rather an overall experience. One participant stated, “More than a sense of psychiatric disease—overall well-being” (P4), and another shared, “Overall health of a person—their well-being” (P5). Thus, for many of our participants, a comprehensive definition of mental health they demonstrated was the general term well-being.
Think. The most salient concept found among our participants was related to cognition, thinking, the mind or brain, or the term mental. Thirty-four responses focused solely on mental health as being how we think, including statements such as “state of mind” (P6), “mental health refers to your thoughts” (P7), and “brain imbalance” (P8). These responses suggest that the cognitive aspect of mental health is a primary way these rural participants conceptualize mental health. We also saw this demonstrated in other definitions provided by the participants that had think in combination with either feel or act.
Think and feel. The next most salient conceptualization provided by participants included elements of both cognition and emotion—how we think and feel. Eighteen participants provided responses in this code, including “mental health is my ability to cope, how I think, rational thinking, and my emotional stability” (P9) and “state of mind and feeling of well-being” (P10). It is noteworthy that again when discussing cognition and emotion, there was frequent use of the phrase well-being, even when limited to just think and feel, thus further supporting the term well-being.
Think and act. Cognition or thinking was further salient and used in connection with behavior, or how we think and act. Conceptualizations from these 10 participants included statements such as “condition of one’s mind and if any affect [sic] on behavior” (P11) and “well-being in thought and action” (P12). Again, also noted is the use of the term well-being, even when specifying think and act.
Non-salient concepts within the HHS definition. There were other conceptualizations of the term mental health that supported aspects of the HHS definition. There were seven participants who focused solely on feelings—how you feel. Although there were five participants who only focused on mental health as behavior or how one acts, neither of the singular concepts were considered salient in participant responses because of infrequent responses.
Other non-salient concepts. Also provided by participants were concepts focused specifically on a mental health diagnosis such as “depression” (P16, P17) and “depression, bipolar” (P18). Also, it is interesting to note that although not salient, a few participants saw mental health as a function of physical health. This was demonstrated in definitions such as “condition of health” (P19) and “special help for the sick or assist those that have some type of disease” (P20). It is important to note that a few responses were unclear or too vague and could not be categorized, such as “Don’t know” (P21, P22).
Summary
Overall, participants’ responses suggest a strong tendency toward cognitive aspects of mental health rather than a comprehensive definition that can be found when looking in formal sources, such as the HHS definition (2019). However, a negative case that emerged was that these rural participants did provide the term well-being as an overall comprehensive definition for mental health. Frequency counts for each concept can be found in Table 2. In the following section, we discuss these findings.
Table 2
Frequencies According to HHS Definition Code
HHS Definition Codes Participant Response Count
Think 34
Think and Feel 18
Think, Feel, and Act 15
Think and Act 10
Well-Being 23
Discussion
In the current study, we explored MHL, specifically focusing on the efficacy of the HHS mental health definition in a rural, Southeastern U.S. sample. We sought to understand how this population conceptualized the term mental health. The current research literature provides very little information about this topic, so the following study offered initial findings to offer professional counselors and researchers implications and areas for further investigation.
It is important to reflect on the ways results from this sample of rural residents compare to the existing knowledge about the larger public’s MHL levels and ideas about mental health. Jorm (2000, 2012) noted that lack of MHL among individuals inhibits their ability to recognize mental health concerns when they arise. Although MHL may be an area for more intensive focus across all populations and settings (Jorm, 2000, 2012), results from this study suggest that there are a number of unique considerations in rural areas. Moreover, it is important to situate the current findings in the context of the challenges faced by rural residents. Knowing how those in rural communities define mental health, in their own words, will lend mental health practitioners information about how to communicate and connect effectively to increase the utilization of mental health services, improve the quality of care, and enhance clients’ ability to communicate concerns. If there are to be greater gains in prevention, intervention, and management of mental health in rural regions of the United States, a nuanced understanding of perceptions about mental health may offer a starting point.
Well-Being
In terms of the HHS definition, the current sample supported the concept of well-being. Although well-being was not necessarily connected concretely to the specific terms of think, feel, and act, it was often associated with one or two other concepts as well as used singularly as a holistic definition. Research on well-being has been of increasing interest in the past two decades (Dodge, Daly, Huyton, & Sanders, 2012), and many of the current national and international definitions of mental health refer to well-being (LaPlaca, McNaught, & Knight, 2013). Recent attempts have been made in the literature to more clearly articulate the definition of well-being (Dodge et al., 2012; LaPlaca et al., 2013), as this concept is being used to determine policy and practice on many national stages.
Current definitions of well-being combine elements of the psychological, social, and physical. However, these descriptions also focus on the ratio of resources to challenges that individuals and communities experience, and some have described well-being as the equilibrium between the two (Dodge et al., 2012). Thus, well-being should be considered within the context of social issues, economics, and service provision. This definition of well-being can be particularly useful for rural communities and populations, as resources and service provision are often lacking in rural communities (Health Resources & Services Administration, 2011). Our finding that participants connected with and utilized the concept of well-being suggests that both counseling practitioners and researchers should utilize the term and seek to better understand it, especially those working with rural communities and clients. However, participants in the current study did not provide an expansive level of detail in their conceptualization of well-being; rather, they focused on the cognitive or physical aspect of well-being.
Cognitive and Biological Focus
When comparing the current sample’s definitions to the HHS definition of mental health, the think/cognitive aspect of mental health was most supported and relevant to these rural participants. Most participants believed that mental health describes how individuals think, followed by those who described it as a combination of thoughts and feelings. As noted in the literature review, HHS (2019) considers mental health as impacting the way individuals think, feel, and act. In the current sample, however, only a small fraction of participants defined mental health as a combination of thoughts, feelings, and behaviors. Instead, participants considered mental health from a cognitive and biological perspective, focusing on the brain and chemical imbalances. Thus, results of this study suggest that individuals in rural communities might lack a holistic understanding of mental health.
Our findings add to the literature by providing context for rural individuals’ perceptions and possible explanations for treatment and help-seeking patterns. Rural residents may be especially vulnerable to misinformation about mental health disorders because of mental illness stigma, a cultural expectancy of self-reliance to resolve mental health concerns, and ascertaining mental health–related information from nonprofessionals (e.g., family members, religious leaders; Smalley et al., 2012; Snell-Rood et al., 2017), thus further underscoring the importance of improving MHL in rural communities. In the current study, for example, many participants listed only one component of mental health (e.g., brain imbalance, thoughts), suggesting that their understanding of the concept of mental health is lacking. The focus on the biological composition of the brain in mental health is consistent with definitions of mental illness promoted by organizations such as the National Institute of Mental Health. Thus, although participants’ definitions of mental health are not incorrect, in many ways the focus is narrow and not comprehensive. Study participants excluded emotions and when speaking about biology focused on the brain, which potentially discounts somatic manifestations of mental illness (e.g., stomach pains).
A more comprehensive understanding of mental health, with a specific focus on the connection between emotions, behaviors, and somatic symptoms, could potentially assist rural residents with becoming more conscious of signs and symptoms related to common mental health concerns such as anxiety and depression (Kim et al., 2015). It seems important for mental health educators, organizations, and counseling practitioners in rural communities to provide education that broadens the beliefs about the nature of mental health. Educational campaigns and direct work that are more inclusive and broadly focused could be of benefit.
Implications for Professional Counselors
Professional counselors and related mental health practitioners in rural areas noted they need training opportunities focused on clinical issues that are important in rural settings (Fifield & Oliver, 2016). Thus, the results from this study may offer mental health professionals guidance for reaching residents in rural communities and providing efficacious mental health services. Foremost, counselor training programs could consider developing courses with a specific focus on rural populations, which can assist counseling students in increasing their understanding of the culture of rural settings, how rural residents comprehend mental illness, and effective counseling practices in rural communities (Crumb, Mingo, & Crowe, 2019; Rollins, 2010). For example, counselors in training would be privy to facts such as how many people living in rural areas across the United States face additional life stressors, including poverty and housing and food insecurities, that impact their mental health and well-being.
The results of this study also illustrate the importance of building partnerships and collaborative relationships in rural communities, as rural residents may present varied concerns (e.g., concerns about physical health, family members, finances, spirituality) to counselors when seeking help. Thus, building both informal and formal professional support networks in rural communities is vital. Counselors in rural communities may consider building resources with physicians, faith-based organizations, and other mental health providers for consultation purposes (Avent, Cashwell, & Brown-Jeffy, 2015; Crumb, Mingo, & Crowe, 2019).
El-Amin et al. (2018) suggested programs such as rural-focused Mental Health First Aid to help increase MHL in rural communities. Because access to mental health services is often limited and/or non-existent in rural communities, counselors and related mental health professionals should be more intentional in implementing these forms of programming because of the large number of residents who reside in rural communities who have not yet been helped (El-Amin et al., 2018). Trainings such as this may assist with MHL, as well as mental health stigma, which has been associated with MHL in rural areas (Crowe et al., 2018).
Last, the focus on cognition in participants’ definitions of mental health may indicate a positive response to more cognitive-based theories such as CBT (A. T. Beck, 1970) and rational emotive behavioral therapy (Ellis, 1962). As this study was framed through the lens of CBT and the notion that cognition impacts emotions and behaviors, this theory and related interventions may fit well when working with clients in the rural United States. This type of “matching” related to how clients in the rural parts of the United States understand mental health (with a more cognitive focus) might lead to increased participation in counseling and therapy in rural areas. This might be a way for practitioners to join with the client initially, at the beginning of the therapeutic relationship, in order to “speak the same language.” However, given the findings of the current study, although individuals may have a natural inclination toward more cognitively focused theories, it is incumbent upon mental health professionals to challenge individuals to consider the ways emotions and behaviors are connected to their mental health as well. CBT fits this model well; however, scholars have also found ways to integrate other theories to provide an even more comprehensive and culturally responsive theoretical framework for clients. For example, one of the suggested interventions in Crumb and Haskins’ (2017) integration of CBT and relational cultural theory is to “apply cognitive restructuring through relational resilience” (p. 268). This technique could be especially beneficial to rural communities, as it honors the focus of cognitions while also considering how these thoughts and messages may be related to a broader systemic and environmental influence (Crumb & Haskins, 2017).
In sum, counselors should be aware that many of their clients may present with low MHL. Thus, education and awareness about mental health, diagnoses, and symptomatology may be an integral part of the treatment process. Counselors should consider this intentionality in education as a part of their role as advocates for their clients (Crumb, Haskins, & Brown, 2019).
Limitations and Future Directions
As with all research, the current study is not without limitations. First, the qualitative responses received from participants were often brief. The study team was able to analyze responses, but future qualitative research on the topic of MHL in rural samples might include a focus group design or individual interviews rather than paper-and-pencil surveys to get an in-depth look at how those in rural areas define mental health. Also, future research could seek to further understand the concept of well-being as used by rural participants, looking more in depth at all components (cognition, emotion, and behavior). Future research studies could also investigate the reasons for a focus on cognitive aspects of mental health. As it is impossible to separate cognition from emotion and behavior, this study found that many participants seemed to focus on cognition rather than a more comprehensive understanding of cognition as it related to choices in behaviors and affect. The current study took place in a medical center, and participants who were approached to participate may have felt pressure to complete the survey or answer in a way that was socially desirable. The sample was a convenience sample and may not be representative of others in the rural Southeast.
Large scale quantitative studies might offer scholars interested in MHL the opportunity to use validated instruments to measure literacy and perceptions about mental health in rural samples. Assessments such as the Mental Health Knowledge Schedule (Evans-Lacko et al., 2010) have been used in recent research (Crowe et al., 2018) to measure mental health knowledge. The Revised Fit, Stigma, & Value Scale (Kalkbrenner & Neukrug, 2018) is another scale measuring barriers to counseling such as stigma, values, and personal fit. These types of assessments can measure levels of recognition, familiarity, and attitudes toward mental health conditions in order to measure MHL and perceptions of mental health stigma.
Conclusion
This qualitative study investigated the HHS definition of mental health to determine if it was representative of rural Southeastern participants’ definitions. This assisted with answering the call for more research on the mental health of rural residents (Simmons, Yang, Wu, Bush, & Crofford, 2015) in order to provide better services to this population. Most participants demonstrated a conceptualization that included cognition, as well as well-being, and were more concrete in their conceptualization of mental health when compared to the more comprehensive HHS definition. A promising result from this study was that many participants seemed willing to seek mental health treatment in the future. Rural communities could benefit from mental health education with a holistic approach. Future research should consider interviewing rural populations to gather more detail on their definitions and understanding of mental health. The results provided interventions for professional counselors and related mental health clinicians, particularly those in rural settings, to integrate into their present work, pointed to the need for educational campaigns on mental health in rural areas, and highlighted areas for future research exploration.
Conflict of Interest and Funding Disclosure
The authors reported no conflict of interest
or funding contributions for the development
of this manuscript.
References
Alang, S. M. (2015). Sociodemographic disparities associated with perceived causes of unmet need for mental health care. Psychiatric Rehabilitation Journal, 38, 293–299. doi:10.1037/prj0000113
Avent, J. R., Cashwell, C. S., & Brown-Jeffy, S. (2015). African American pastors on mental health, coping, and help seeking. Counseling and Values, 60, 32–47. doi:10.1002/j.2161-007X.2015.00059.x
Baker, D. W., Wolf, M. S., Feinglass, J., Thompson, J. A., Gazmararian, J. A., & Huang, J. (2007). Health literacy and mortality among elderly persons. Archives of Internal Medicine, 167, 1503–1509. doi:10.1001/archinte.167.14.1503
Beck, A. T. (1970). Cognitive therapy: Nature and relation to behavior therapy. Behavior Therapy, 1, 184–200. doi:10.1016/S0005-7894(70)80030-2
Beck, J. S. (2011). Cognitive therapy: Basics and beyond (2nd ed.). New York, NY: Guilford Press.
Berkman, N. D., Sheridan, S. L., Donahue, K. E., Halpern, D. J., & Crotty, K. (2011). Low health literacy and health outcomes: An updated systematic review. Annuals of Internal Medicine, 155, 97–107.
doi:10.7326/0003-4819-155-2-201107190-00005
Bryant, K., Moore, T., Willis, N., & Hadden, K. (2015). Development of a faith-based stress management intervention in a rural African American community. Progress in Community Health Partnerships: Research, Education, and Action, 9, 423–430. doi:10.1353/cpr.2015.0060
Crowe, A., Mullen, P. R., & Littlewood, K. (2018). Self-stigma, mental health literacy, and health outcomes in integrated care. Journal of Counseling & Development, 96, 267–277. doi:10.1002/jcad.12201
Crumb, L., & Haskins, N. (2017). An integrative approach: Relational cultural theory and cognitive behavior therapy in college counseling. Journal of College Counseling, 20, 263–277. doi:10.1002/jocc.12074
Crumb, L., Haskins, N., & Brown, S. (2019). Integrating social justice advocacy into mental health counseling in rural, impoverished American communities. The Professional Counselor, 9, 20–34. doi:10.15241/lc.9.1.20
Crumb, L., Mingo, T. M., & Crowe, A. (2019). “Get over it and move on”: The impact of mental illness stigma in rural, low-income United States populations. Mental Health & Prevention, 13, 143–148. doi:10.1016/j.mhp.2019.01.010
Deen, T. L., & Bridges, A. J. (2011). Depression literacy: Rates and relation to perceived need and mental health service utilization in a rural American sample. Rural and Remote Health, 11, 1803. Retrieved from http://www.rrh.org.
au/articles/subviewnew.asp?ArticleID=1803
Dodge, R., Daly, A. P., Huyton, J., & Sanders, L. D. (2012). The challenge of defining wellbeing. International Journal of Wellbeing, 2, 222–235. doi:10.5502/ijw.v2i3.4
El-Amin, T., Anderson, B. L., Leider, J. P., Satorius, J., & Knudson, A. (2018). Enhancing mental health literacy in rural America: Growth of Mental Health First Aid program in rural communities in the United States from 2008–2016. Journal of Rural Mental Health, 42, 20–31. doi:10.1037/rmh0000088.supp
Ellis, A. (1962). Reason and emotion in psychotherapy. Oxford, England: Lyle Stuart.
Evans-Lacko, S., Little, K., Meltzer, H., Rose, D., Rhydderch, D., Henderson, C., & Thornicroft, G. (2010). Development and psychometric properties of the mental health knowledge schedule. The Canadian Journal of Psychiatry, 55, 440–448. doi:10.1177/070674371005500707
Felsen, C. B., Shaw, E. K., Ferrante, J. M., Lacroix, L. J., & Crabtree, B. F. (2010). Strategies for in-person recruitment: Lessons learned from a New Jersey Primary Care Research Network (NJPCRN) study. The Journal of the American Board of Family Medicine, 23, 523–533. doi:10.3122/jabfm.2010.04.090096
Fifield, A. O., & Oliver, K. J. (2016). Enhancing the perceived competence and training of rural mental health practitioners. Journal of Rural Mental Health, 40, 77–83. doi:10.1037/rmh0000040
Fuller, J. D., Edwards, J., Procter, N., & Moss, J. (2000). How definition of mental health problems can influence help seeking in rural and remote communities. Australian Journal of Rural Health, 8, 148–153.
doi:10.1046/j.1440-1584.2000.00303.x
Gilgun, J. (2011). Coding in deductive qualitative analysis. Current Issues in Qualitative Research: An Occasional Publication for Field Researchers from a Variety of Disciplines, 2, 1–4.
Gore, J. S., Sheppard, A., Waters, M., Jackson, J., & Brubaker, R. (2016). Cultural differences in seeking mental health counseling: The role of symptom severity and type in Appalachian Kentucky. Journal of Rural Mental Health, 40, 63–76. doi:10.1037/rmh0000041
Hastings, S. L., & Cohn, T. J. (2013). Challenges and opportunities associated with rural mental health practice. Journal of Rural Mental Health, 37, 37–49. doi:10.1037/rmh0000002
Health Resources & Services Administration. (2011). Designated mental health care health professional shortage areas. Retrieved from https://data.hrsa.gov/topics/health-workforce/shortage-areas
Jameson, J. P., & Blank, M. B. (2007). The role of clinical psychology in rural mental health services: Defining problems and developing solutions. Clinical Psychology: Science and Practice, 14, 283–298.
doi:10.1111/j.1468-2850.2007.00089.x
Jorm, A. F. (2000). Mental health literacy: Public knowledge and beliefs about mental disorders. British Journal of Psychiatry, 177, 396–401. doi:10.1192/bjp.177.5.396
Jorm, A. F. (2012). Mental health literacy: Empowering the community to take action for better mental health. American Psychologist, 67, 231–243. doi:10.1037/a0025957
Kalkbrenner, M. T., & Neukrug, E. S. (2018). Identifying barriers to attendance in counseling among adults in the United States: Confirming the factor structure of the Revised Fit, Stigma, & Value Scale. The Professional Counselor, 8, 299–313. doi:10.15241/mtk.8.4.299
Kim, J. E., Saw, A., & Zane, N. (2015). The influences of psychological symptoms on mental health literacy of college students. American Journal of Orthopsychiatry, 85, 620–630. doi:10.1037/ort0000074
Kutcher, S., Wei, Y., & Coniglio, C. (2016). Mental health literacy: Past, present, and future. The Canadian Journal of Psychiatry, 61, 154–158. doi:10.1177/0706743715616609
La Placa, V., McNaught, A., & Knight, A. (2013). Discourse on wellbeing in research and practice. International Journal of Wellbeing, 3, 116–125. doi:10.5502/ijw.v3i1.7
Lincoln, Y., & Guba, E. (1985). Naturalistic inquiry. Newbury Park, CA: SAGE.
National Alliance on Mental Illness. (2015). Mental health by the numbers. Retrieved from http://www.nami.org/Learn-More/Mental-Health-By-the-Numbers
National Council for Behavioral Health. (2019). Mental Health First Aid. Retrieved from https://www.thenationalcouncil.org/about/mental-health-first-aid/
Office of Rural Health Policy. (2005). Mental health and rural America: 1994–2005. Rockville, MD: Author. Retrieved from https://www.ruralhealthresearch.org/mirror/6/657/RuralMentalHealth.pdf
Rainer, J. (2012, Fall). The state of rural mental health: Caring and the community. The National Register of Health Service Providers in Psychology, 8–13.
Rollins, J. (2010, April). Learning the ropes of rural counseling. Counseling Today. Retrieved from https://ct.counseling.org/2010/04/learning-the-ropes-of-rural-counseling/
Rural Health Information Hub. (2017). Rural mental health. Retrieved from https://www.ruralhealthinfo.org/topics/
mental-health
Simmons, L. A., Yang, N. Y., Wu, Q., Bush, H. M., & Crofford, L. J. (2015). Public and personal depression stigma in a rural American female sample. Archives of Psychiatric Nursing, 29, 407–412. doi:10.1016/j.apnu.2015.06.015
Smalley, K. B., Warren, J. C., & Rainer, J. P. (Eds.). (2012). Rural mental health: Issues, policies, and best practices. New York, NY: Springer.
Snell-Rood, C., Hauenstein, E., Leukefeld, C., Feltner, F., Marcum, A., & Schoenberg, N. (2017). Mental health treatment seeking patterns and preferences of Appalachian women with depression. American Journal of Orthopsychiatry, 87, 233–241. doi:10.1037/ort0000193
Stewart, H., Jameson, J. P., & Curtin, L. (2015). The relationship between stigma and self-reported willingness to use mental health services among rural and urban older adults. Psychological Services, 12, 141–148. doi:10.1037/a0038651
Strauss, A., & Corbin, J. (1990). Basics of qualitative research: Grounded theory procedures and techniques (2nd ed.). Newbury Park, CA: SAGE.
U.S. Department of Health & Human Services. (2019). What is mental health? Retrieved from https://www.mentalhealth.
gov/basics/what-is-mental-health/
World Health Organization. (2013). Integrating mental health services into primary health care. Retrieved from https://www.who.int/mental_health/policy/services/3_MHintoPHC_Infosheet.pdf
Allison Crowe is an associate professor at East Carolina University. Paige Averett is a professor at East Carolina University. Janeé R. Avent Harris, NCC, is an assistant professor at East Carolina University. Loni Crumb, NCC, is an assistant professor at East Carolina University. Kerry Littlewood is an instructor at the University of South Florida. Correspondence can be addressed to Allison Crowe, 225 Ragsdale Hall, Mailstop 121, College of Education, 5th St., Greenville, NC 27858, crowea@ecu.edu.
Nov 10, 2019 | Volume 9 - Issue 4
Stacey Diane Aranez Litam
This study examined whether attitudes based on labels and counselor demographics predicted empathy and rape myth acceptance in counselors. A difference in attitudes based on the labels of either “prostitute” or “sex trafficking” was found. Attitudes based on labels and counselor demographics additionally predicted scores of empathy and rape myth acceptance. The importance of obtaining training on human sex trafficking was identified. The implications of these findings are discussed within the areas of counseling, counselor education, and counselor supervision, including challenging stigmatizing beliefs about individuals who have experienced commercial sexual exploitation, incorporating discussions about human sex trafficking into counselor education courses, and learning about resources and trauma-informed techniques that empower trafficked clients and support counseling supervisees.
Keywords: sex trafficking, human trafficking, prostitutes, rape myth, labels
Exploitation of humans through the use of force, fraud, and coercion is not a new phenomenon. Despite increased awareness to the social injustice of human trafficking and modern-day slavery, trading in human beings represents a current business enterprise well established prior to the colonization of North America (Johnson, 1997). Although the prevalence of human trafficking remains unknown (Andretta, Woodland, Watkins, & Barnes, 2016; Fedina, 2015), it occurs within the United States and across the globe, affecting all regions of the world (Davy, 2016; United Nations Office on Drugs and Crime, 2014). With an estimated 32 billion dollars accrued annually through the sexual exploitation of women, children, and men (Thompson & Haley, 2018), the United Nations identified human trafficking as the third largest criminal enterprise globally, just behind those involving drugs and weapons (Thompson & Haley, 2018).
Human trafficking encompasses both labor trafficking and sex trafficking. The Trafficking Victim Protection Act was passed by the U.S. Congress in 2000 to address the needs of trafficked survivors. This act, which applies to instances of sex and labor trafficking, defines human trafficking as the recruiting, harboring, transporting, supplying, or obtaining of a person for labor or services through the use of force, fraud, or coercion for the purpose of involuntary servitude or slavery (U.S. Department of State, 2016). Sex trafficking is a specific type of human trafficking characterized by scenarios in which commercial sex acts are induced by force, fraud, or coercion, and/or in which the person induced to perform sex acts is under 18 years of age (U.S. Department of State, 2016). The International Labour Organization (2012) reported 4.5 million people were victims of sex trafficking worldwide. In 2008, the National Human Trafficking Resource Center established a hotline service that provides information related to labor and sex trafficking cases reported in the United States (Gerassi, 2015). Since 2008, reports of trafficking through the hotline have increased at the rate of 259% per year, resulting in a total of 20,400 cases involving elements of trafficking and exploitation (Gerassi, 2015). Given these estimates, it is likely that counselors will work with sex trafficking survivors at some point during their career.
Whereas sex trafficking is characterized by commercial sex acts induced by force, fraud, and coercion (U.S. Department of State, 2016), sex work refers to the voluntary exchange of sexual services, performances, or products, provided without coercion, control, or force (Gerassi, 2015). Individuals who self-identify as sex workers consent to provide sex acts (Bettio, Della Giusta, & Di Tommaso, 2017; Gerassi, 2015). Conversely, sexual assault occurs when unwanted sexual behaviors are attempted or completed against a person’s will (National Institute of Justice, 2017). Yet, individuals participating in sex work are at increased risk for becoming victims of human sex trafficking and experiencing other types of abuse (Cole & Sprang, 2014). One study that examined the types of abuse experienced by sex trafficking victims found trafficked individuals experienced physical violence (88.9%), sexual violence (83.3%), and psychological violence (100%; Muftic & Finn, 2013). Although overlap exists, not all sex workers are trafficked, although all sex trafficked individuals are forced to perform sex work. Research suggests that the majority of sex trafficked individuals also experience some form of sexual assault.
Most narratives about sex workers and prostitutes do not adequately examine the influence of structural factors, such as poor economic and social conditions, which may perpetuate the choice to become sex workers (Schwarz, Kennedy, & Britton, 2017). Instead, existing studies focus on aspects of morality attributed to sex workers (Alvarez & Alessi, 2012). For example, a Nepalese-based study found prostitutes were viewed as immoral and were ostracized because of fear of HIV contagion (Alvarez & Alessi, 2012). Continuing to focus on labels based on the perception of individuals’ consent, agency, and choice perpetuates the presence of stigma (Bettio et al., 2017).
The presence of stigma is well-documented in sexual commerce research. The terms sex worker and prostitute are often used interchangeably in reference to individuals exchanging sex acts for compensation, and stigma exists based on which term is used (Alvarez & Alessi, 2012; Bettio et al., 2017; Gerassi, 2015; Schwarz et al., 2017). Specifically, rates of stigma are highest when applied to street prostitution compared to commercial stripping, pornography, and other sex acts (Schwarz et al., 2017; Weitzer, 2018). The effects of stigma based on labels negatively influence overall wellness. Sex workers who had been labeled prostitute reported lower levels of well-being (Bradley, 2007) and struggled with feelings of anger, confusion, frustration, and being misunderstood (Tomura, 2009).
Regardless of how people, including counselors, characterize the construct of human sex trafficking, the stigma associated with labeling clients as prostitutes negatively impacts sex trafficked survivors’ overall wellness. Misconceptions and stigma related to sex work negatively influence therapists’ abilities to successfully provide mental health services (Wolf, 2019). Many trafficked survivors feel shame and therefore avoid seeking help (Baldwin, Fehrenbacher, & Eisenman, 2015).
Barriers to Counseling Sex Trafficking Survivors
Counselors and mental health professionals often lack adequate knowledge and skills for counseling sex trafficking survivors (Domoney, Howard, Abas, Broadbent, & Oram, 2015). To provide successful mental health services, counselors should maintain appropriate attitudes and levels of empathy and have an understanding of rape myths.
Attitudes Based on Labels
Within the counseling setting, it is essential that counselors demonstrate empathy and unconditional positive regard and develop a strong therapeutic relationship with sex trafficking survivors. The language and labels used to describe clients can impact these necessary elements (Litam, 2017). According to the principle of linguistic relativity, language shapes perceptions of our world and significantly influences cognitive processes (Wolff & Holmes, 2011). Attitudes and perceptions toward groups of people vary depending on the labels ascribed to them (Szeto, Luong, & Dobson, 2013). For example, negative attitudes and perceptions exist when describing groups of people as “homeless” (Phelan, Link, Moore, & Stueve, 1997) and “fat” (Brochu & Esses, 2011) compared to “poor person” and “overweight,” respectively. Attitudes based on labels also influence rates of stigma for individuals receiving mental health services. Terms like “psycho,” “nuts,” and “crazy” may evoke feelings of danger and unpredictability about individuals with mental illness, ultimately contributing to increased rates of stigma (Szeto et al., 2013).
The use of labels to define people has been found to increase attitudes and stigma in the medical, legal, counseling, and social professions (McCoy & DeCecco, 2011; McLindon & Harms, 2011; Russell, Mammen, & Russell, 2005). To avoid marginalizing clients by referring to them by their diagnoses (e.g., schizophrenics, borderlines, autistics), person-first language was developed to separate an individual’s identity from their clinical diagnosis, disability, or chronic condition (Granello & Gibbs, 2016). Person-first language asserts that a person diagnosed with autism should be identified as a “person with autism” rather than “an autistic.” Thus, counselors must avoid labels to minimize the stigmatization of clients, especially when those labels are perceived as pejorative (American Psychological Association, 2010).
A study conducted by Granello and Gibbs (2016) sought to examine the influence of person-first language on attitudes of tolerance for people with mental illness. Undergraduate students (n = 221), adults from a community sample (n = 211), and professional counselors and counselors-in-training (n = 269) were each given a measurement of tolerance. Tolerance was measured using the Community Attitudes Toward the Mentally Ill scale (Dear & Taylor, 1979), which measured four subscales of tolerance: Authoritarianism, Benevolence, Social Restrictiveness, and Community Mental Health Ideology (Dear & Taylor, 1979). These subscales respectively referred to participants’ views that people with mental illnesses need to be hospitalized; the belief that society should be sympathetic and kind to people with mental illnesses; the belief that people with mental illness are dangerous; and the belief that community-based mental health care is more beneficial than treatment in residential mental health care facilities (Dear & Taylor, 1979). Within each group, half of the participants received a tolerance measure that used the phrase “the mentally ill,” while the other half completed the same tolerance measure with the person-first language “people with mental illness.” The results of this study indicated that across all three groups, the measurement using “the mentally ill” yielded lower levels of the attitude of tolerance (Granello & Gibbs, 2016). These results indicate how attitudes are related to labels.
Empathy Within the Counseling Setting
In a meta-analysis of 224 studies examining empathy and outcomes in 3,599 clients, empathy was found to account for more outcome variance than specific treatment methods (Elliott, Bohart, Watson, & Greenberg, 2011). The results further indicated empathy was a medium-sized predictor of psychotherapy outcome across therapists’ theoretical orientation, treatment format, and severity of clients’ presenting concerns (Elliot et al., 2011). The results of these studies identified client-perceived therapist empathy as the strongest predictor of therapeutic outcomes.
Clients, including sex trafficking survivors, who experience a therapeutic environment characterized by counselor empathy feel more deeply understood (Clark, 2010), which promotes treatment satisfaction, likelihood of compliance, and involvement in the treatment process (Bohart, Elliott, Greenberg, & Watson, 2002). These findings provide evidence for the significant role of empathy as a catalyst for client change regardless of a counselor’s theoretical orientation, treatment format, or severity of client issues (Bohart et al., 2002; Elliot et al., 2011; Imel, Wampold, Miller, & Fleming, 2008; Moyers & Miller, 2013; Watson, Steckley, & McMullen, 2014). Based on the complex, multi-systemic, and unique needs of sex trafficking survivors, it is imperative that counselors working with this population demonstrate empathy to promote client compliance and treatment involvement (Litam, 2017). Counselors who work with sex trafficking survivors must obtain a deeper understanding of how the presence of rape myths may negatively impact their abilities to demonstrate empathy within the therapeutic setting.
Rape Myth Acceptance
The ways in which counselors conceptualize sexual violence may be a result of the acceptance of rape myths. Rape myths are complex sets of cultural beliefs, stereotypes, or prejudices about rape, victims of rape, or perpetrators of rape that support and perpetuate male violence against women (Burt, 1980). Common rape myths toward women include the prejudiced beliefs that victims are lying, a rape did not occur, the perpetrator was provoked by the victim, and that the victim deserved the rape in some way based on appearance, behavior, or style of dress (Edwards, Turchik, Dardis, Reynolds, & Gidycz, 2011; Wilson, Newins, & White, 2017). Additionally, the presence of benevolent sexism, or the set of beliefs that women should be protected by men, possess domestic qualities, and fulfill men’s romantic needs (Barreto & Ellemers, 2005), has been associated with rape myth acceptance (Chapleau, Oswald, & Russell, 2007). The concept of benevolent sexism explains why women who violate this stereotype by using drugs or alcohol, dressing “provocatively,” or trusting strangers are perceived as partially responsible for their rape because they are expected to be aware of risks and avoid precarious situations (Chapleau et al., 2007; Smette, Stefansen, & Mossige, 2009).
The extent to which rape victims are blamed for their own victimization has been associated with various factors, including the presence of traditional gender roles (Burt, 1980; Schechory & Idisis, 2006), sexual conservatism, and a tolerance for interpersonal violence (Burt, 1980). Additionally, society continues to hold prejudiced attitudes about “real” rape victims (Hockett, Smith, Klausing, & Saucier, 2016). According to Maier (2008) and Williams (1984), a “real” rape victim is characterized by a non-intoxicated woman who was unexpectedly and violently raped by a stranger in a deserted place, sustained obvious physical injuries, struggled with apparent emotional distress, and quickly reported the crime to law enforcement. In reality, few reported cases meet these criteria for the “real” rape victim stereotype (Hockett et al., 2016). Survivors of rape who do not meet the real victim stereotype are more likely to be blamed or perceived as responsible in some way for their attack (Lonsway & Fitzgerald, 1994). Survivors of human sex trafficking are raped by traffickers during their initiation into sex work and are continually raped by buyers during their captivity (Cianciarulo, 2008). Sex trafficking survivors are often misidentified as “prostitutes” and “sex workers” and are therefore not perceived to be “real” rape victims because of the presence of rape myths (Cianciarulo, 2008; Hockett et al., 2016).
Rape myth acceptance negatively influences the treatment modalities used by counselors and other mental health professionals. In a study conducted by Dye and Roth (1990), psychologists, social workers, and psychiatrists who held more prejudiced beliefs toward sexual assault victims were significantly more likely to use victim blaming interventions. A study conducted by McLindon and Harms (2011) indicated counselors who used biased or judgmental speech when conceptualizing clients who had been raped were more likely to adhere to rape myths. Counselors must understand the relationship between language/labels, empathy, and rape myth acceptance when supporting survivors of sexual trauma, including sex trafficking survivors.
When counselors accepted rape myths, sexual assault survivors were more likely to experience poor post-trauma outcomes (Wilson et al., 2017). Counselors who adhere to rape and human trafficking myths, or who engage in behaviors that reduce the amount of empathy afforded to clients, may lead to client re-traumatization, intensified feelings of client shame, and increased rates of early termination. Counselors must therefore understand how barriers to counseling sex trafficking survivors may negatively influence the success of client treatment (Wilson et al., 2017).
Human Trafficking Myths
Human trafficking myths are false beliefs about human trafficking and trafficking survivors that blame the victim, excuse the perpetrator, and deny or justify the sale or trade of human beings (Cunningham & Cromer, 2016). For example, human trafficking victims in the media are portrayed as young, innocent, and vulnerable children, when in reality, victims of all ages are trafficked (U.S. Department of State, 2001). Another misconception is the belief that victims are kidnapped and then trafficked, when more often than not they are exploited by a loved one such as a family member or an intimate partner (Gerassi, 2015). A study conducted by Cunningham and Cromer (2016) was the first to identify the presence of human trafficking myths in an undergraduate sample. The results of the study found human trafficking myths in 36.5% of the participants with 31% attributing blame to the victim. Men who perceived the vignette as an instance of sex trafficking were more likely to engage in victim blaming and were more accepting of human trafficking myths than their female counterparts (Cunningham & Cromer, 2016).
Purpose of the Study and Research Hypothesis
The present study sought to examine whether counselors’ attitudes differed based on labels
(i.e., prostitute and prostitution vs. sex trafficked women and sex trafficking). Additionally, the study explored whether attitudes based on labels and counselor demographics predicted levels of empathy and rape myth acceptance in counselors. Three research questions were identified: (1) Does a significant difference exist between Attitudes Toward Prostitutes and Prostitution Scale (APPS) and Attitudes Toward Trafficked Women and Sex Trafficking Scale (ATTS) scores? (2) Do APPS and ATTS scores and counselor attributes predict empathy scores on the Empathy Assessment Index (EAI)? and (3) Do APPS and ATTS scores and counselor attributes predict rape myth acceptance scores on the Illinois Rape Myth Acceptance Short Form (IRMA-SF)?
Method
Participants
Participants were licensed professional counselors and clinical counselors (N = 396) in Ohio. The mean age was 42.1 years (SD = 13.51). Participants self-identified as Caucasian/White (n = 364, 91.9%), African American/Black (n = 22, 5.6%), Hispanic/Latino(a) (n = 6, 1.5%), American Indian/Alaskan Native (n = 3, 0.8%), Asian American/Asian (n = 3, 0.8%), Arab American (n = 1, 0.3%), and Other (n = 1, 0.3%). The participant who selected Other self-identified as European American; some participants selected multiple items. Of the total 396 participants, there were more females (n = 341, 86.1%) than males (n = 53, 13.4%). Two participants (0.5%) identified as transgender. Years of counseling experience spanned from less than 1 year to 46 years with a mean of 11.1 years (SD = 10.43). The majority of participants had earned a master’s degree in counseling (n = 354, 89.4%). A smaller percentage of individuals sampled had earned a doctoral degree (n = 42, 10.6%). One participant indicated she or he had earned a master’s degree and an EdS degree (n = 1, 0.3%).
Instruments
Demographics/background form. A demographics/background form was used to collect respondents’ age, race, ethnicity, gender, work experience, and level of education. The form also collected whether participants had previously received training on human trafficking and prostitution. Following the demographics document, participants completed either the APPS or the ATTS. Once the appropriate scale was completed, all participants completed the IRMAS-SF, the EAI, and the Marlowe-Crowne Social Desirability Scale (MC-SDS) – Form A.
Attitudes Toward Prostitutes and Prostitution Scale (APPS). The APPS (Levin & Peled, 2011) is a 29-item instrument that uses a 5-point Likert scale ranging from 1 (fully disagree) to 5 (fully agree) and measures the degree to which participants agree with statements about prostitutes and prostitution. Specifically, the APPS measures Sexual Domination Discourse (SDD; Outshoorn, 2005) attitude, which views prostitution as a form of oppression (Barry, 1979). Individuals with high SDD attitudes believe women do not choose to engage in prostitution and are instead forced to participate in the sex industry as the result of early traumatic experiences (Hunt, 2013; Outshoorn, 2005). The theoretical background for the APPS emerged after an analysis of the existing literature found that views about prostitutes and prostitution could be roughly divided into normative and problem-oriented attitudes (Levin & Peled, 2011). According to Levin and Peled (2011), the normative attitude refers to the belief that prostitutes and prostitution are inherent and functional aspects of a normative society in which commercial sex work is an independent choice. Conversely, the problem-oriented attitude refers to the belief that prostitutes and prostitution are socially deviant in nature (Levin & Peled, 2011). Responses about prostitutes and prostitution are measured on two axes (“normative/deviant” and “choosing/victimized”) that can be further categorized into four subscales (Levin & Peled, 2011).
Two subscales assess the participants’ perception of prostitutes as people. Scores on the Prostitutes as Choosing/Victimized (PSCV) subscale measure whether respondents believe prostitutes choose to engage in prostitution (“Prostitutes enjoy the controlling of men”) or are victimized into the act of prostitution (“Prostitutes are unable to get out of the situation they are in”). The PSCV subscale has seven items. The Prostitutes as Normative/Deviant (PSND) subscale measures the extent to which respondents believe prostitutes, as people, are either normative (“Women become prostitutes because they were not properly educated”) or deviant (“Most prostitutes are drug addicts”). The PSND subscale has eight items.
Two additional subscales measure the act of prostitution itself. The Prostitution as Normative/ Deviant (PNND) subscale measures whether respondents perceive the act of prostitution to represent either social normativeness (“Prostitution provides men with stress relief”) or social deviance (“Prostitution harms the institution of marriage”). The PNND subscale has seven items. Finally, the Prostitution as Choosing/Victimized (PNCV) subscale measures whether respondents perceive prostitution represents either women’s choice (“Prostitution is a way for some women to gain power and control”) or the victimization of women (“Prostitution is a form of rape in which the victim gets paid”). The PNCV has seven items (Levin & Peled, 2011). Higher scores on the APPS reflect stronger adherence to the SDD attitude, which asserts that women engaged in sex work do not choose prostitution out of their own free will and prostitution is a deviant act that victimizes women (Farley et al., 2003; Hunt, 2013).
The APPS demonstrates sound psychometric properties for the measurement as a whole, across measures both about prostitutes and prostitution, and across all four subscales. The instrument was developed over two pilot studies using 392 male and female undergraduate and graduate students. As reported by Levin and Peled (2011), Cronbach’s alpha rendered an internal consistency for the entire scale (α = .81), on both subscales (α = .73; α = .73), and across all four subscales (α = .88; α = .81; α = .86; α = .83). The results of these analyses suggest satisfactory construct validity for a two- and four-dimensional model of the APPS (Levin & Peled, 2011). The APPS provides an overall score of attitudes about prostitutes and prostitution, scores related to attitudes about prostitutes and prostitution, and scores within each of the four subscales.
Attitudes Toward Trafficked Women and Sex Trafficking Scale (ATTS). The first author collaborated with the developers of the APPS (Levin & Peled, 2011) to alter the APPS wording to better reflect person-first language (e.g., “human trafficking survivor” and “sex trafficking”). The updated form was named the Attitudes Toward Trafficked Women and Sex Trafficking Scale (ATTS). Suggestions provided by the instrument’s original developers were followed to minimize the possibility that updating the APPS would interfere with its sound psychometric properties. The four subscales measured by the ATTS are the same as for the APPS. The reliability and validity information pertaining to the ATTS is unknown as this study was the first to use it, and we are in the process of measuring its psychometrics.
Illinois Rape Myth Acceptance Scale – Short Form (IRMA-SF). The 22-item Illinois Rape Myth Acceptance Scale – Short Form (IRMA-SF) was developed to allow brief assessment for the general factor of rape myth acceptance (Payne, Lonsway, & Fitzgerald, 1999). To examine the construct validity of the IRMA-SF, t-tests were conducted that compared participants’ gender on the IRMA-SF in relation to other variables with theoretical and/or empirically demonstrated relationships to rape myth acceptance; the other variables included sex-role stereotyping, adversarial sexual beliefs, hostility toward women, and attitudes toward violence. The results indicated men had higher means on these scales than women—IRMA: t (1174) = 6.23, p < .001 and IRMA-SF: t (174) = 6.09, p < .001 (Payne et al., 1999). Additionally, the previously mentioned variables (e.g., sex-role stereotyping) ranged from r (174) = .47, p < .001, to r (174) = .74, p < .001 (Payne et al., 1999). These results confirmed the construct validity of the IRMA-SF (Payne et al., 1999). The IRMA-SF possesses adequate construct validity, internal consistency, and reliability and allows for a quicker assessment for the general factor of rape myth acceptance (Payne et al., 1999). The 22-item IRMA-SF was selected for the study to limit the cognitive fatigue associated with lengthy questionnaire forms and to minimize the rate of non-response error for long surveys with many items (Groves, 1989). The IRMA-SF is a publicly available instrument, so no permission was needed to use it in the study. The IRMA-SF is scored by totaling the cumulative score, with higher scores indicating greater rejection of rape myths.
Empathy Assessment Index (EAI). The EAI was developed by Gerdes, Geiger, Lietz, Wagaman, and Segal (2012). The EAI incorporates both emotional and cognitive components of empathy and was developed over a 4-year period with eight different administrations to more than 3,500 participants (Gerdes & Segal, 2011; Gerdes, Segal, & Lietz, 2012). The EAI is a 22-item instrument that measures five subscales of neurologically identified components of empathy: (a) Affective Response (e.g., “When I see someone receive a gift that makes them happy, I feel happy”), (b) Self–Other Awareness (e.g., “I can tell the difference between someone else’s feelings and my own”), (c) Perspective Taking (e.g., “I can imagine what the character is feeling in a good movie”), (d) Emotion Regulation (e.g., “When I am upset or unhappy, I get over it quickly”), and (e) Affective Mentalizing (e.g., “When I see a person experiencing a strong emotion, I can describe what the person is feeling to someone else”). To control for social desirability and hide the link to empathy, the EAI is titled the “Human Relations Survey.” The typical time to complete the EAI is 5–10 minutes. The EAI is a publicly available instrument, so no permission was needed to include it in the study.
Marlowe-Crowne Social Desirability Scale (MC-SDS) – Form A. The Marlowe-Crowne Social Desirability Scale (MC-SDS) – Form A consists of 11 items and uses a true/false format to measure whether participants respond to survey items in a socially desirable way. The items on the MC-SDS –
Form A describe culturally approved behaviors with minimal implication of psychopathology (Crowne & Marlowe, 1960). The MC-SDS – Form A is used in conjunction with other self-report measures to assess the impact of social desirability on participants’ responses (Reynolds, 1982). The MC-SDS – Form A yielded .74 using the Kuder-Richardson Formula 20 for reliability with a significant correlation coefficient (r = .91; p < .001) and coefficient of determination (r2 = .83). Thus, the MC-SDS – Form A represents a reliable and valid form to assess social desirability (Reynolds, 1982).
Procedures
After receiving IRB approval, the Ohio Counselor, Social Worker, and Marriage and Family Therapist Board provided the email addresses of all licensed counselors in Ohio. As an incentive to participate in the study, three participants were randomly selected to receive one of three $75 Amazon gift cards. Email addresses were alphabetized and were sorted into two equal groups. The people in the first half (17,814), those whose names were toward the start of the alphabet, received a recruitment email with a link to the APPS. Those in the second half (17,814) received a recruitment email with a link to the ATTS.
Participants who received the APPS were presented with “prostitute” labels in the recruitment email and in the consent form. The APPS group was not exposed to “sex trafficking” labels. Conversely, the ATTS group was presented with “sex trafficking” labels in the recruitment email and in the consent form. The ATTS group was not exposed to “prostitute” language. After completing the demographics form, both groups completed either the APPS or ATTS surveys before moving on to the EAI, IRMA-SF, and MC-SDS – Form A. Statistical analysis indicated there were no significant differences between groups in their demographics.
Statistical Analysis
An alpha level of .05 and a medium effect size of .15 were maintained for all statistical procedures (Cohen, 1988). The .05 alpha level was maintained to mitigate the potential of a Type I error (Cowles & Davis, 1982). With a power of .80, a set beta of .20 was obtained, which was an acceptable mitigation of Type II errors (Lenth, 2001). A power analysis using G*Power was conducted for an independent samples t-test, which yielded a sample of 128. The study sample size was 396 participants. A total of 193 participants completed the APPS and 203 participants completed the ATTS.
Descriptive statistics of the criterion variables for the APPS and ATTS with the IRMA-SF, EAI, and MC-SDS – Form A were obtained and can be found in Tables 1 and 2. A series of t-tests were used to assess whether a significant difference existed between APPS and ATTS scores. To test for normality, univariate outliers were assessed and a Kolmogorov-Smirnov test was conducted. The assumption of independence was met from the random assignment of respondents and their lack of interaction within the study. The result of Levene’s test was not significant; thus, the assumption of homogeneity of variance was not violated.
To test the second research question, two hierarchical regressions were conducted to examine whether APPS and ATTS scores and counselor demographics predicted empathy scores on the EAI. To test the third research question, two hierarchical regressions were conducted to examine whether APPS and ATTS scores and counselor demographics predicted scores of rape myth acceptance on the IRMA-SF. For each of the two hierarchical regressions, counselor attributes were added in order of anticipated strength. After consulting research that examined the effects of variables on rape myth acceptance, the predictor variables were added in the following order: gender (Aosved & Long, 2006; Jimenez & Abreu, 2003; Suarez & Gadalla, 2010), race/ethnicity (Giacopassi & Dull, 1986; Lefley, Scott, Llabre, & Hicks, 1993; Suarez & Gadalla, 2010), level of education, years of experience, and age (Suarez & Gadalla, 2010). Each hierarchical regression analysis was conducted with an alpha level of .05 and power of .80. The assumption of independence was met from the random sorting of respondents and their lack of interaction within the study. The assumption for normality was tested by examining the distribution of the EAI and IRMA-SF scores. Observations more than two standard errors from the mean were removed. An analysis of EAI and IRMA-SF scores was plotted and demonstrated a normal shape. Residual plots from SPSS were examined to test for linearity. The variance inflation factor (VIF) was referenced within the multiple regressions with a heuristic value of four set as the upper bound for acceptable multicollinearity. The residuals appeared scattered around the zero horizontal line which indicated the assumption of homoscedasticity was not violated. Thus, none of the assumptions for conducting a multiple regression were violated.
Table 1
Descriptive Statistics of the Criterion Variables for the APPS
Variable Mean SD Minimum Maximum Range
EAI 4.73 0.428 3.59 5.68 2.09
AM 4.77 0.555 3.00 6.00 3.00
AR 4.82 0.639 3.20 6.00 2.80
ER 4.41 0.594 2.30 6.00 3.75
PT 4.83 0.529 3.20 6.00 2.80
SOA 4.80 0.576 2.75 6.00 3.25
IRMA-SF 1.47 0.462 1.00 2.73 1.73
MC-SDS 5.17 2.490 0 11.00 11.00
Note. EAI = Empathy Assessment Index, AM = Affective Mentalizing, AR = Affective Response,
ER = Emotion Regulation, PT = Perspective Taking, SOA = Self-Other Awareness,
IRMA-SF = Illinois Rape Myth Acceptance Short Form, MC-SDS = Marlowe-Crowne Social Desirability Scale.
Table 2
Descriptive Statistics of the Criterion Variables for the ATTS
Variable Mean SD Minimum Maximum Range
EAI 4.76 0.426 3.86 5.86 2.00
AM 4.80 0.610 3.20 6.00 2.75
AR 4.75 0.632 3.20 6.00 2.80
ER 4.46 0.483 3.00 5.50 2.50
PT 4.88 0.540 3.20 6.00 2.80
SOA 4.87 0.540 2.75 6.00 3.25
IRMA-SF 1.38 0.380 1.00 2.50 1.50
MC-SDS 5.24 2.480 0 11.00 11.00
Note. EAI = Empathy Assessment Index, AM = Affective Mentalizing, AR = Affective Response,
ER = Emotion Regulation, PT = Perspective Taking, SOA = Self-Other Awareness,
IRMA-SF = Illinois Rape Myth Acceptance Short Form, MC-SDS = Marlowe-Crowne Social Desirability Scale.
Results
Analysis of the Marlowe-Crowne Social Desirability Scale – Form A
Prior to analyzing the data, results from the MC-SDS – Form A were examined. The means for both groups were similar although the ATTS group (M = 5.24, SD = 2.48) scored slightly higher than the APPS group (M = 5.17, SD = 2.49). Based on these results, the responses provided by the study sample likely were trustworthy, indicated acceptable rates of social desirability, and likely reflect participants’ true attitudes based on labels.
Bivariate Results
Correlations were used to examine the strength of relationships between variables. The following section outlines significant correlations between counselor demographics and scales, subscales, and survey items on the APPS or ATTS, EAI, and IRMA-SF.
Significant correlations between age and survey items. Bivariate correlational analyses were conducted to examine whether significant relationships existed between counselor age and the APPS/ATTS, EAI, and IRMA-SF. Age and PSCV were significantly correlated (r = .128, p < .05). Thus, as participants’ age increases, the belief that prostitutes are victimized also increases. Age was significantly correlated with the IRMA-SF (r = .101, p < .05) in addition to 11 items on the IRMA-SF. The results from the correlation analysis indicated as participant age increases, so too does acceptance of most rape myths. Thus, younger participants were less likely to accept rape myths than older participants. Age was significantly correlated with the Emotion Regulation (r = .200, p < .01) and Affective Mentalizing (r = -.137, p < .01) subscales on the EAI. The results from the bivariate correlational analysis indicated older participants were reportedly better able to regulate their emotions, whereas younger participants reported greater success in cognitively evaluating another person’s emotional state compared to their older counterparts.
Significant correlations with gender. Bivariate correlational analyses were conducted to examine whether significant relationships existed between counselor gender and the APPS/ATTS, EAI, and IRMA-SF. Gender and previous training on prostitution and/or human trafficking were significantly correlated (r = -.112, p < .05). Based on the results of the correlation coefficient, males in the study were less likely to have received training on prostitution and human trafficking compared to females. Gender and years of counseling experience were significantly correlated (r = -.110, p < .05). Based on the results of the correlation coefficient, males reported more counseling experience than females.
Regarding the APPS/ATTS surveys, gender was significantly correlated to the PSCV subscale
(r = .102, p < .05), and the PNCV subscale (r = .102, p < .05). Thus, female counselors were more likely
than their male counterparts to perceive prostitutes as victims and were more likely to hold the attitude that prostitution occurred as the result of victimization. Gender and the IRMA-SF were significantly correlated (r = -.269, p < 01), with counselor gender significantly correlating with 19 out of 22 items (86%) on the IRMA-SF. Based on these results, male counselors were more likely to accept rape myths compared to female counselors.
On the EAI, gender was significantly correlated to the Perspective Taking (r = .161, p = < .01) and Affective Response (r = .142, p < .01) subscales, in addition to the overall EAI measure (r = .112, p < .05). Thus, female counselors reported greater success with imagining the experiences of others and were more likely to experience automatic reactions when observing the emotions of others. Compared to their male counterparts, females reported higher scores of empathy overall.
Significant correlations with years of counseling experience. Bivariate correlational analyses were conducted to examine whether significant relationships existed between years of counselor experience and the APPS/ATTS, EAI, and IRMA-SF. Years of counseling experience and previous training on prostitution and/or human trafficking were significantly correlated (r = -.142, p < .01). The longer counselors had practiced, the less likely they were to have received training on prostitution and human trafficking. Years of counseling experience was also significantly correlated with the APPS/ATTS item, “Prostitutes/trafficked women earn a lot of money” (r = .153, p < .01). Thus, the longer counselors had practiced, the more they believed engaging in prostitution or being trafficked was a lucrative endeavor. Years of counseling experience were not significantly correlated with overall APPS/ATTS scores (r = .030, p > .05), overall IRMA-SF scores (r = .055, p > .05), or overall EAI scores (r = .025, p > .05).
Significant correlations with training on prostitution and/or human trafficking. Bivariate correlational analyses were conducted to examine whether significant relationships existed between previous training on prostitution/human sex trafficking and the APPS/ATTS, EAI, and IRMA-SF. An examination between training and survey items revealed a significant relationship between previous training and the APPS/ATTS items “Most prostitutes/trafficked women are morally corrupt” (r = .157, p < .01), “Most prostitutes/trafficked women are ugly” (r = .150, p < .01), “Prostitutes/trafficked women spread AIDS” (r = .122, p < .05), Prostitutes/trafficked women enjoy the controlling of men” (r = -.125, p < .05), “Prostitution/sex trafficking is a way for some women to gain power and control” (r = -.113, p < .01), and “Prostitution/sex trafficking harms the institution of marriage” (r = .108, p < .05). Based on the bivariate correlations, participants who had not received training on prostitution/sex trafficking were more likely to believe prostitutes/trafficked women were morally corrupt, ugly, spread AIDS, and harmed the institution of marriage. Counselors who had not received training on prostitution/sex trafficking were less likely to believe that prostitutes/trafficked women engaged in sex acts to gain power and control and enjoyed the controlling of men.
Previous training was significantly correlated with the overall IRMA-SF scale (r = .127, p < .05) and the Self–Other Awareness subscale. Thus, counselors with no previous training on prostitution/sex trafficking were more likely to accept rape myths and less likely to successfully engage in the empathy construct of perspective taking.
Significant correlations between survey items. Bivariate correlational analyses were conducted to examine whether significant relationships existed between items on the APPS/ATTS, EAI, and IRMA-SF. The APPS/ATTS survey item “Most prostitutes/trafficked women are ugly” was significantly correlated with 22 items (76%). The results revealed counselors’ perception that the “uglier” prostitutes/trafficked women were, the more likely they were to harm the institution of marriage, increase the rate of sexually transmitted diseases, spread AIDS, damage society’s morals, be morally corrupt, and have drug addictions. This APPS/ATTS item was of interest because of the presence of the label “ugly.”
The overall IRMA-SF scale was significantly correlated to 23 items on the APPS/ATTS (79%) and the overall mean score for SDD attitudes (r = -.132, p < .01). Thus, a relationship existed between higher scores of items indicating agreement with SDD and lower levels of rape myth acceptance. The more counselors in this study perceived prostitutes to be victims and prostitution as the result of victimization, the less likely they were to accept rape myths. The IRMA-SF scale was significantly correlated with the EAI subscales of Affective Response (r = -.169, p < .01) and Perspective Taking (r = -.181, p < .01). Counselors with lower levels of rape myth acceptance were better able to imagine and react to the emotions of others. Counselors who believed they were better able to imagine and subsequently experience themselves in other people’s shoes were less likely to accept rape myths.
Finally, a significant correlation was found between the APPS/ATTS item “Prostitutes/trafficked women are unable to get out of the situation they are in” and the overall mean score for SDD (r = .494, p < .01). Therefore, counselors who perceived that women who engaged in sex acts were victimized were more likely to believe that women in sex work did not choose it.
Research Question 1
A series of t-tests were conducted to examine whether differences existed between APPS and ATTS groups. The overall mean scores between APPS (M = 3.56, SD = .427) and ATTS groups (M = 3.80,
SD = .255), t (394) = -6.952, p < .01, were significantly different. The results of the t-test indicated participants who received “trafficking” labels were significantly more likely to perceive trafficked women as victims and sex trafficking as a form of victimization. Four additional t-tests determined significant differences existed between each of the APPS and ATTS subscales. The results of these t-tests can be found in Table 3 and are presented below.
Table 3
Independent t-Test Between APPS, ATTS, and Subscales
APPS ATTS
M SD n M SD n t Sig (p < .01)
Overall 3.56 0.427 193 3.80 0.255 203 -6.950 .000
PNCV 3.80 0.707 193 4.13 0.405 203 -5.830 .000
PNND 3.76 0.553 193 4.12 0.468 203 -6.905 .009
PSCV 3.80 0.575 193 4.33 0.390 203 -10.697 .000
PSND 2.95 0.410 193 2.79 0.276 203 4.500 .000
Note. PNCV = Prostitution as Choosing/Victimized, PNND = Prostitution as Normative/Deviant,
PSCV = Prostitutes as Choosing/Victimized, PSND = Prostitutes as Normative/Deviant.
PNCV. An independent samples t-test was conducted between groups to examine if a significant difference existed on the PNCV subscale. The mean scores between APPS (M = 3.80 SD = .707) and ATTS groups (M = 4.13, SD = .405), t (394) = -5.830, p < .01, were significantly different. Based on the results, participants who received surveys with “trafficking” labels indicated significantly stronger beliefs that sex trafficking was an act of victimization.
PNND. An independent samples t-test was conducted between groups to examine if a significant difference existed on the PNND subscale. The mean scores between APPS (M = 3.76, SD = .553) and ATTS group, (M = 4.12, SD = .468), t (394) = -6.905, p < .01, were significantly different. Based on these results, participants who received the survey with “trafficking” labels indicated significantly stronger beliefs that sex trafficking represented a deviant rather than normative act.
PSCV. An independent samples t-test was conducted between groups to examine if a significant difference existed on the PSCV subscale. The mean scores between APPS (M = 3.80 SD = .575) and ATTS groups (M = 4.33 SD = .390), t (394) = -10.697, p < .01, were significantly different. Based on these results, participants who received the survey with “trafficking” labels indicated significantly stronger beliefs that trafficked women were victimized and did not choose to engage in sex acts.
PSND. An independent samples t-test was conducted between groups to examine if a significant difference existed on the PSND subscale. The mean scores between APPS (M = 2.95, SD = .410) and ATTS groups (M = 2.79, SD = .276), t (394) = 4.50 p < .01, were significantly different. Based on these results, participants who received the survey with “trafficking” labels indicated significantly stronger beliefs that trafficked women who engaged in sex acts were engaging in deviant rather than normative acts.
Research Question 2
A regression analysis for the APPS and ATTS was conducted to examine whether the linear combination of APPS or ATTS scores and counselor age, race/ethnicity, gender, work experience, and education significantly predicted participants’ overall scores of empathy on the EAI. Table A1 (see Appendix) outlines the regression analyses for the EAI overall and for each of the five subscales. The results of the regression overall indicated that race was a significant predictor of empathy (R2 = .07, F(6,186) = 2.357, p < .01) and explained 7% of the variance for empathy within the APPS group. The results of the regression were not significant (R2 = .05, F(6,194) = 1.829, p > .05) for the ATTS group.
APPS scores and counselor demographics did not predict scores of Affective Mentalizing on the EAI (R2 = .05, F(6,186)=1.952, p > .05). Within the ATTS group, age and attitude were significant predictors of Affective Mentalizing (R2 = .071) and explained 7% of the variance. APPS scores and counselor demographics did not predict scores of Affective Response on the EAI (R2 = .05, F(6,186) = 1.802, p > .05). Within the ATTS group, gender and attitude were significant predictors of Affective Response (R2 = .089) and explained 9% of the variance. When examining the linear combination of APPS scores and counselor demographics, the results of the regression were significant (R2 = .086) although there were no individually significant predictors for Emotion Regulation on the EAI. ATTS scores and counselor demographics did not predict scores on the Emotion Regulation subscale of the EAI (R2 = .089, F(6,194) = 3.14, p > .05). Within the APPS group, race and gender significantly predicted the empathy construct of Perspective Taking (R2 = .105) and explained 10% of the variance. ATTS scores and counselor demographics did not predict scores on the Perspective Taking subscale of empathy (R2 = .044, F(6,195) = 1.494, p > .05). Neither linear combinations of APPS scores and counselor demographics (R2 = .043, F(6,186)=1.401, p > .05) nor ATTS scores and counselor demographics
(R2 = .045, F(6,194) = 1.532, p > .05) predicted scores of Self–Other Awareness on the EAI.
Research Question 3
Two hierarchical regressions were conducted to test whether the linear combination of APPS or ATTS scores and counselor age, race/ethnicity, gender, work experience, and education significantly predicted participants’ overall scores of rape myth acceptance on the IRMA-SF. Table 4 outlines the regression analyses for the IRMA-SF. The results of the regression were significant within the APPS group (R2 = 156, F(6,186) = 5.717, p < .05). Gender significantly predicted rape myth acceptance (b = .272, p < .05), as did age (b = .236, p < .05) and attitude (b = -.175, p < .05). Based on these results, male counselors and participants exposed to prostitute labels were more likely to accept rape myths. The results also indicated that the older counselors were, the more likely they were to accept rape myths. Gender, age, and SDD attitudes explained 16% of the variance within the APPS group. The results of the regression were significant within the ATTS group (R2 = .065, F(6,194) = 2.231, p < .05). Gender significantly predicted rape myth acceptance (b = .178, p < .05) and explained 7% of the variance within the ATTS group. Within both groups, male counselors were more likely to accept rape myths compared to female counselors.
Table 4
Multiple Regression Analysis for APPS (N = 193) and ATTS (N = 203) With IRMA-SF
|
|
|
APPS |
|
|
|
|
ATTS |
|
|
|
Variable |
B |
SE B |
b |
t |
Sig. (p) |
B |
SE B |
b |
t |
Sig.(p)
|
IRMA-SF
Constant
Gender
Race
Education
Age
Experience
Attitudes |
1.807
.347
-.026
.013
.008
-.003
-.190 |
.290
.087
.104
.115
.003
.004
.074 |
.272
-.017
.008
.236
-.063
-.175 |
6.236
3.975
-.250
.116
2.358
-.630
-2.561 |
.000
.000**
.803
.908
.019*
.530
.011* |
1.146
.212
-.184
.055
-.001
-.001
.119 |
.402
.087
.106
.085
.003
.004
.106 |
.178
-.128
.049
-.050
-.033
.080 |
2.850
2.444
-1.745
.645
-.435
-.291
1.119 |
.005
.015*
.083
.520
.664
.771
.265 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Note. *p < .05. **p < .01.
Discussion
Based on the results from this study, exposure to “prostitute” and “sex trafficking” labels influenced a significant difference between attitudes in counselors. The combination of attitudes and counselor demographics additionally predicted scores of empathy and rape myth acceptance. Lack of training on sex trafficking was also linked to higher acceptance of rape myth acceptance. The results from this study are consistent with research that identified the stigmatizing effects of the prostitute label (Bradley, 2007; Tomura, 2009), but represent new findings as this study was the first to identify how sex trafficking labels influence empathy and rape myth acceptance in counselors. This study also is the first to illuminate how a lack of training on sex trafficking influences greater rates of rape myth acceptance.
Female counselors who completed surveys with sex trafficking labels scored higher on empathy compared to male counselors. This finding is consistent with a study conducted by Mestre, Samper, Frias, and Tur (2009), who confirmed women have a greater proclivity for empathic responses compared to men. According to the present study, male counselors in both groups were more likely to accept rape myths compared to female counselors. This finding is consistent with existing studies that identified greater rates of rape myth acceptance in males compared to females (Aosved & Long, 2006; Cunningham & Cromer, 2016; Suarez & Gadalla, 2010). Counselors exposed to prostitute labels scored significantly higher on Emotion Regulation compared to counselors who received sex trafficking labels. This may be explained by counselors’ need to mitigate the emotional responses required to understand the experiences of sexual violence and physical abuse that characterize prostitution. When counselors completed surveys with prostitute labels, race and gender predicted perspective taking. According to Seward (2014), people of color may demonstrate higher rates of empathy and racial acuity compared to their White counterparts. The effect of membership in a non-majority racial/ethnic group may have increased participant empathy for other marginalized groups. Compared to their male counterparts, women are also members of a disempowered group. Thus, a female gender identity may have influenced participants’ abilities to take perspective when imagining the experiences of others.
Implications for the Counseling Profession
The present study illuminates the importance for counselors to recognize that language matters; using “sex trafficked survivor” instead of “prostitute” in client conceptualization and within the therapeutic setting influences attitudes and several independent constructs of empathy and the presence of rape myth acceptance. Using a more strength-based term, such as sex trafficking survivor, may be more appropriate. Avoiding other stigmatizing labels, such as “ugly,” is also important within the counseling setting. As evidenced within this study, counselors perceived “uglier” prostitutes/trafficked women as more likely to harm the institution of marriage, increase the rate of sexually transmitted diseases, spread AIDS, damage society’s morals, be morally corrupt, and have drug addictions.
In a study conducted by Kushmider, Beebe, and Black (2015), counselors-in-training described feelings of professional helplessness and a desire for specialized coursework to learn how to better support clients who have survived all types of sexual assault. Obtaining training on sex trafficking represents an essential component of best practices when counseling sex trafficking survivors. As evidenced within this study, counselor educators may better support students by incorporating discussions about human sex trafficking as part of the Council for Accreditation of Counseling and Related Educational Programs (2015) required trauma curriculum. For example, social and cultural foundations courses can include a conversation about sex trafficking as part of a discussion on gender, gender equity, and working with refugee populations.
Counselors, counseling supervisors, and counseling students may benefit from receiving training on topics related to human trafficking and sex trafficking. Within this study, counselors in Ohio who had not received training on prostitution/sex trafficking were more likely to believe prostitutes/trafficked women were morally corrupt, were ugly, spread AIDS, and harmed the institution of marriage. Counselors with no previous training on prostitution/sex trafficking were also more likely to accept rape myths and were less likely to successfully engage in the empathy construct of perspective taking. Based on the results of this study, male counselors were less likely to have received previous training compared to females.
Counseling supervisors must become knowledgeable about resources, promote awareness, and recognize trauma-informed techniques that support their supervisee and empower the trafficked client. Counseling supervisors may normalize the stress, anxiety, and feelings of helplessness that many counselors experience when working with sex trafficked survivors. Engaging in healthy self-care practices is essential for counselors, counselor educators, and counseling supervisors who work with this challenging population.
Limitations and Future Research
Future studies may benefit from using a qualitative or mixed methods approach to explore the relationship between counselor beliefs and human trafficking myths. A detailed analysis of the influence of labels on attitudes across more diverse counselor demographics were not obtained because of an overrepresentation of White females in the study. Future areas of study may benefit from using a stratified sample. Obtaining a deeper understanding of the most common human trafficking myths that exist within the fields of counseling, counselor education, and counselor supervision may be helpful. Researchers could facilitate focus groups at various locations—including university settings, community mental health centers, agencies, and schools—to identify common human trafficking myths. A deeper understanding of trafficking myths is needed to develop effective training programs.
The development of competencies for human trafficking is needed. Presently, competencies for working with sex trafficking survivors have not yet been established. Experts on the topic of human trafficking may collaborate and document ways to identify trafficked survivors across school, clinical, and community settings. Evidence-based treatment for counseling sex trafficking survivors and trauma-informed techniques for supervising counselors working with sex trafficking survivors could be identified.
Conclusion
The results of this study illuminate the effect of labels on attitudes and how those attitudes predict empathy and rape myth acceptance in counselors. The presence of prostitute and sex trafficking labels influenced attitudes and predicted levels of empathy and rape myth acceptance in counselors. The importance of obtaining training on the topic of sex trafficking was also identified. The implications of this study related to the counseling profession were outlined and the study limitations were presented. Counselors must reflect on whether they hold stigmatizing beliefs about individuals who have engaged in commercial sex work or who have survived forced sexual exploitation. Additionally, counselors working with sex trafficking survivors may avoid using the prostitute label as this was linked to greater rates of rape myth acceptance and decreased rates of empathy. Future research areas may identify prevalent human trafficking myths and develop human trafficking competencies. The motivating factors and barriers to receiving training on human sex trafficking may also be explored.
Conflict of Interest and Funding Disclosure
Data collected in this study was part of a dissertation study.
The dissertation was awarded the 2019 Dissertation Excellence Award
by the National Board for Certified Counselors.
References
Alvarez, M. B., & Alessi, E. J. (2012). Human trafficking is more than sex trafficking and prostitution: Implications for social work. Affilia: Journal of Women and Social Work, 27, 142–152. doi:10.1177/0886109912443763
American Psychological Association. (2010). Publication manual of the American Psychological Association (6th ed.). Washington, DC: Author.
Andretta, J. R., Woodland, M. H., Watkins, K. M., & Barnes, M. E. (2016). Towards the discreet identification of Commercial Sexual Exploitation of Children (CSEC) victims and individualized interventions: Science to practice. Psychology, Public Policy, and Law, 22, 260–270. doi:10.1037/law0000087
Aosved, A. C., & Long, P. J. (2006). Co-occurrence of rape myth acceptance, sexism, racism, homophobia, ageism, classism, and religious intolerance. Sex Roles, 55, 481–492. doi:10.1007/s11199-006-9101-4
Baldwin, S. B., Fehrenbacher, A. E., & Eisenman, D. P. (2015). Psychological coercion in human trafficking: An
application of Biderman’s framework. Qualitative Health Research, 25, 1171–1181. doi:10.1177/1049732314557087
Barreto, M., & Ellemers, N. (2005). The burden of benevolent sexism: How it contributes to the maintenance of gender inequalities. European Journal of Social Psychology, 35, 633–642. doi:10.1002/ejsp.270
Barry, K. (1979). Female sexual slavery. Englewood Cliffs, NJ: Prentice Hall.
Bettio, F., Della Giusta, M., & Di Tommaso, M. L. (2017). Sex work and trafficking: Moving beyond dichotomies.
Feminist Economics, 23(3), 1–22. doi:10.1080/13545701.2017.1330547
Bohart, A. C., Elliott, R., Greenberg, L. S., & Watson, J. C. (2002). Empathy. In J. C. Norcross (Ed.), Psychotherapy relationships that work: Therapist contributions and responsiveness to patients (1st ed., pp. 89–108). Oxford, England: Oxford University Press.
Bradley, M. S. (2007). Girlfriends, wives, and strippers: Managing stigma in exotic dancer romantic relationships.
Deviant Behavior, 28, 379–406. doi:10.1080/01639620701233308
Brochu, P. M., & Esses, V. M. (2011). What’s in a name? The effects of the labels “Fat” versus “Overweight” on weight bias. Journal of Applied Social Psychology, 41, 1981–2008. doi:10.1111/j.1559-1816.2011.00786.x
Burt, M. R. (1980). Cultural myths and supports for rape. Journal of Personality and Social Psychology, 38, 217–230. doi:10.1037/0022-3514.38.2.217
Chapleau, K. M., Oswald, D. L., & Russell, B. L. (2007). How ambivalent sexism toward women and men supports rape myth acceptance. Sex Roles: A Journal of Research, 57, 131–136. doi:10.1007/s11199-007-9196-2
Cianciarulo, M. S. (2008). What is choice? Examining sex trafficking legislation through the lenses of rape law and prostitution. University of St. Thomas Law Journal, 6, 54–76.
Clark, A. J. (2010). Empathy: An integral model in the counseling process. Journal of Counseling & Development, 88, 348–356. doi:10.1002/j.1556-6678.2010.tb00032.x
Cole, J. E., & Sprang, G. (2014). Sex trafficking of minors in metropolitan, micropolitan, and rural communities. Child Abuse & Neglect, 40(2015), 113–123. doi:10.1016/j.chiabu.2014.07.015
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum.
Council for Accreditation of Counseling and Related Educational Programs. (2015). 2016 CACREP standards. Alexandria, VA: Author.
Cowles, M., & Davis, C. (1982). On the origins of the .05 level of statistical significance. American Psychologist, 37, 553–558. doi:10.1037/0003-066X.37.5.553
Crowne, D. P., & Marlowe, D. (1960). A new scale of social desirability independent of psychopathology. Journal of Consulting Psychology, 24, 349–354. doi:10.1037/h0047358
Cunningham, K. C., & Cromer, L. D. (2016). Attitudes about human trafficking: Individual differences related to belief and victim blame. Journal of Interpersonal Violence, 31, 228–244. doi:10.1177/0886260514555369
Davy, D. (2016). Anti-human trafficking interventions: How do we know if they are working? American Journal of Evaluation, 37, 486–504. doi:10.1177/1098214016630615
Dear, M. J., & Taylor, S. M. (1979). Community attitudes toward the mentally ill. Hamilton, Ontario, Canada: McMaster University.
Domoney, J., Howard, L. M., Abas, M., Broadbent, M., & Oram, S. (2015). Mental health service responses to human trafficking: A qualitative study of professionals’ experiences of providing care. BMC Psychiatry, 15, 289. doi:10.1186/s12888-015-0679-3
Dye, E., & Roth, S. (1990). Psychotherapists’ knowledge about and attitudes toward sexual assault victim clients. Psychology of Women Quarterly, 14, 191–212. doi:10.1111/j.1471-6402.1990.tb00014.x
Edwards, K. M., Turchik, J. A., Dardis, C. M., Reynolds, N., & Gidycz, C. A. (2011). Rape myths: History, individual and institutional-level presence, and implications for change. Sex Roles: A Journal of Research, 65, 761–773. doi:10.1007/s11199-011-9943-2
Elliott, R., Bohart, A. C., Watson, J. C., & Greenberg, L. S. (2011). Empathy. Psychotherapy, 48, 43–49.
doi:10.1037/a0022187
Farley, M., Cotton, A., Lynne, J., Zumbeck, S., Spiwak, F., Reyes, M. E., Alvarez, D., & Sezgin, U. (2003). Prostitution and trafficking in nine countries: An update on violence and posttraumatic stress disorder. Journal of Trauma Practice, 2(3–4), 33–74. doi:10.1300/J189v02n03_03
Fedina, L. (2015). Use and misuse of research in books on sex trafficking: Implications for interdisciplinary
research, practitioners, and advocates. Trauma, Violence, & Abuse, 16, 188–198. doi:10.1177/1524838014523337
Gerassi, L. (2015). From exploitation to industry: Definitions, risks, and consequences of domestic sexual exploitation and sex work among women and girls. Journal of Human Behavior in the Social Environment, 25, 591–605. doi:10.1080/10911359.2014.991055
Gerdes, K. E., Geiger, J. M., Lietz, C. A., Wagaman, M. A., & Segal, E. A. (2012). Examination of known-groups validity for the Empathy Assessment Index (EAI): Differences in EAI scores between social service providers and service recipients. Journal of the Society for Social Work Research, 3(2), 94–112. doi:10.5243/jsswr.2012.7
Gerdes, K. E., & Segal, E. (2011). Importance of empathy for social work practice: Integrating new science. Social Work, 56(2), 141–148.
Gerdes, K. E., Segal, E. A., & Lietz, C. A. (2012). Empathy Assessment Index (EAI). Phoenix, AZ: Arizona State University.
Giacopassi, D. J., & Dull, R. T. (1986). Gender and racial differences in the acceptance of rape myths within a college population. Sex Roles, 15, 63–75. doi:10.1007/BF00287532
Granello, D. H., & Gibbs, T. A. (2016). The power of language and labels: “The mentally ill” versus “people with mental illness.” Journal of Counseling & Development, 94, 31–40. doi:10.1002/jcad.12059
Groves, R. M. (1989). Research on survey data quality. The Public Opinion Quarterly, 51, S156–S172.
Hockett, J. M., Smith, S. J., Klausing, C. D., & Saucier, D. A. (2016). Rape myth consistency and gender differences in
perceiving rape victims: A meta-analysis. Violence Against Women, 22, 139–167. doi:10.1177/1077801215607359
Hunt, S. (2013). Deconstructing demand: The driving force of sex trafficking. The Brown Journal of World Affairs,
19(2), 225.
Imel, Z. E., Wampold, B. E., Miller, S. D., & Fleming, R. R. (2008). Distinctions without a difference: Direct comparisons of psychotherapies for alcohol use disorders. Psychology of Addictive Behaviors, 22, 533–543. doi:10.1037/a0013171
International Labour Organization. (2012). New ILO global estimate of forced labour: 20.9 million victims. Retrieved from http://www.ilo.org/global/about-the- ilo/newsroom/news/WCMS_182109/lang–en/index.htm
Jimenez, J. A., & Abreu, J. M. (2003). Race and sex effects on attitudinal perceptions of acquaintance rape. Journal of Counseling Psychology, 50, 252–256. doi:10.1037/0022-0167.50.2.252
Johnson, P. (1997). A history of the American people. New York, NY: Harper Collins.
Kushmider, K. D., Beebe, J. E., & Black, L. L. (2015). Rape myth acceptance: Implications for counselor education programs. The Journal of Counselor Preparation and Supervision, 7(3). doi:10.7729/73.1071
Lefley, H., Scott, C., Llabre, M., & Hicks, D. (1993). Cultural beliefs about rape and victims’ responses in three ethnic groups. American Journal of Orthopsychiatry, 63, 623–632. doi:10.1037/h0079477
Lenth, R. V. (2001). Some practical guidelines for effective sample size determination. The American Statistician, 55(3), 187–193. doi:10.1198/000313001317098149
Levin, L., & Peled, E. (2011). The attitudes toward prostitutes and prostitution scale: A new tool for measuring public attitudes toward prostitutes and prostitution. Research on Social Work Practice, 21, 582–593. doi:10.1177/1049731511406451
Litam, S. D. A. (2017). Human sex trafficking in America: What counselors need to know. The Professional Counselor, 7, 45–61. doi:10.15241/sdal.7.1.45
Lonsway, K. A., & Fitzgerald, L. F. (1994). Rape myths: In review. Psychology of Women Quarterly, 18, 133–140. doi:10.1111/j.1471-6402.1994.tb00448.x
Maier, S. L. (2008). “I have heard horrible stories…”: Rape victim advocates’ perceptions of the revictimization of rape victims by the police and medical system. Violence Against Women, 14, 786–808.
McCoy, V. A., & DeCecco, P. G. (2011). Person-first language training needed in higher education. In Ideas and
research you can use: VISTAS 2011. Retrieved from http://www.counseling.org/resources/library/vistas
/2011-v-online/Article_05.pdf
McLindon, E., & Harms, L. (2011). Listening to mental health workers’ experiences: Factors influencing their work with women who disclose sexual assault. International Journal of Mental Health Nursing, 20, 2–11. doi:10.1111/j.1447- 0349.2010.00697.x
Mestre, M. V., Samper, P., Frias, M. D., & Tur, A. M. (2009). Are women more empathetic than men? A longitudinal study in adolescence. The Spanish Journal of Psychology, 12, 76–83. doi:10.1017/S1138741600001499
Moyers, T. B., & Miller, W. R. (2013). Is low therapist empathy toxic? Psychology of Addictive Behaviors, 27, 878–884. doi:10.1037/a0030274
Muftic, L. R., & Finn, M. A. (2013). Health outcomes among women trafficked for sex in the United States: A closer look. Journal of Interpersonal Violence, 28, 1859–1885. doi:10.1177/0886260512469102
National Institute of Justice. (2017). Rape and sexual violence. Washington, DC: Author.
Outshoorn, J. (2005). The political debates on prostitution and trafficking of women. Social Politics: International
Studies in Gender, State & Society, 12, 141–155.
Payne, D. L., Lonsway, K. A., & Fitzgerald, L. F. (1999). Rape myth acceptance: Exploration of its structure and its measurement using the Illinois Rape Myth Acceptance Scale. Journal of Research in Personality, 33, 27–68. doi:10.1006/jrpe.1998.2238
Phelan, J., Link, B. G., Moore, R. E., & Stueve, A. (1997). The stigma of homelessness: The impact of the label “homeless” on attitudes toward poor persons. Social Psychology Quarterly, 60, 323–337.
Reynolds, W. M. (1982). Development of reliable and valid short forms of the Marlowe-Crowne Social Desirability Scale. Journal of Clinical Psychology, 38, 119–125.
doi:10.1002/1097-4679(198201)38:1<119::AID-JCLP2270380118>3.0.CO;2-I
Russell, S., Mammen, P., & Russell, P. S. S. (2005). Emerging trends in accepting the term intellectual disability in
the world disability literature. Journal of Intellectual Disabilities, 9, 187–192. doi:10.1177/1744629505056693
Schechory, M., & Idisis, Y. (2006). Rape myths and social distance toward sex offenders and victims among
therapists and students. Sex Roles, 54, 651–658. doi:10.1007/s11199-006-9031-1
Schwarz, C., Kennedy, E. J., & Britton, H. E. (2017). Aligned across differences: Structural injustice, sex work,
and human trafficking. Feminist Formations, 29(2), 1–25. doi:10.1353/ff.2017.0014
Seward, D. X. (2014). Multicultural course pedagogy: Experiences of master’s-level students of color. Counselor Education and Supervision, 53, 62–79. doi:10.1002/j.1556-6978.2014.00049.x
Smette, I., Stefansen, K., & Mossige, S. (2009). Responsible victims? Young people’s understandings of agency and responsibility in sexual situations involving underage girls. YOUNG: Nordic Journal of Youth Research, 17, 351–373. doi:10.1177/110330880901700402
Suarez, E., & Gadalla, T. M. (2010). Stop blaming the victim: A meta-analysis on rape myths. Journal of Interpersonal Violence, 25, 2010–2035. doi:10.1177/0886260509354503
Szeto, A. C. H., Luong, D., & Dobson, K. S. (2013). Does labeling matter? An examination of attitudes and perceptions of labels for mental disorders. Social Psychiatry and Psychiatric Epidemiology, 48, 659–671.
doi:10.1007/s00127-012-0532-7
Thompson, J., & Haley, M. (2018). Human trafficking: Preparing counselors to work with survivors. International Journal for the Advancement of Counselling, 40, 298–309. doi:10.1007/s10447-018-9327-1
Tomura, M. (2009). A prostitute’s lived experiences of stigma. Journal of Phenomenological Psychology, 40, 51–84. doi:10.1163/156916209X427981
United Nations Office on Drugs and Crime. (2014). Global report on trafficking in persons 2014. Retrieved from https://www.unodc.org/documents/data-and analysis/glotip/GLOTIP_2014_full_report.pdf
U.S. Department of State. (2001). Trafficking in persons report. Washington, DC: Author.
U.S. Department of State. (2016). Trafficking in persons report 2016. Washington, DC: Author. Retrieved from https://2009-2017.state.gov/j/tip/rls/tiprpt/2016//index.htm
Watson, J. C., Steckley, P. L., & McMullen, E. J. (2014). The role of empathy in promoting change. Psychotherapy Research, 24, 286–298. doi:10.1080/10503307.2013.802823
Weitzer, R. (2018). Resistance to sex work stigma. Sexualities, 21, 717–729. doi:10.1177/1363460716684509
Williams, L. S. (1984). The classic rape: When do victims report? Social Problems, 31, 459–467. doi:10.2307/800390
Wilson, L. C., Newins, A. R., & White, S. W. (2017). The impact of rape acknowledgement on survivor outcomes: The moderating effects of rape myth acceptance. Journal of Clinical Psychology, 74, 926–939. doi:10.1002/jclp.22556
Wolf, A. (2019). Stigma in the sex trades. Sexual and Relationship Therapy, 34, 290–308.
doi:10.1080/14681994.2019.1573979
Wolff, P., & Holmes, K. J. (2011). Linguistic relativity. Wiley Interdisciplinary Reviews: Cognitive Science, 2, 253–265. doi:10.1002/wcs.104
Appendix
Table A1
Multiple Regression Analysis for APPS (N = 193) and ATTS (N = 203) With EAI
APPS ATTS
Variable |
B |
SE B |
b |
t |
Sig. (p) |
B |
SE B |
b |
t |
Sig. (p) |
EAI
Constant
Gender
Race
Education
Age
Experience
Attitudes |
4.169
-.150
.268
.060
.001
9.389
.085 |
.282
.085
.101
.112
.003
.004
.072 |
-.127
.039
.039
.033
.002
.085 |
14.801
-1.763
.2651
.533
.313
.022
1.186 |
.000
.080
.009**
.594
.594
.983
.237 |
4.169
-.193
-.098
-.069
-.005
.007
.227 |
.450
.097
.118
.096
.004
.005
.119 |
-.146
-.061
-.055
-.168
.175
.137 |
9.257
-1.993
-.830
-.718
-1.462
1.526
1.906 |
.000
.048
.408
.474
.145
.129
.058 |
EAI (AM)
Constant
Gender
Race
Education
Age
Experience
Attitudes |
4.629
-.132
.269
.271
-.005
.000
.032 |
.367
.111
.132
.146
.004
.006
.094 |
-.086
.148
.135
-.125
-.007
.024 |
12.611
-1.191
2.041
1.850
-1.184
-.066
.338 |
.000
.235
.043
.066
.238
.948
.736 |
3.849
-.209
.019
.081
-.013
.008
.371 |
.639
.138
.168
.136
.005
.007
.169 |
-.110
.008
.045
-.283
.135
.156 |
6.025
-1.519
.110
.600
-2.483
1.189
2.197 |
.000
.130
.912
.549
.014*
.236
.129* |
EAI (AR)
Constant
Gender
Race
Education
Age
Experience
Attitudes |
4.082
-.252
.231
-.091
.000
.002
.163 |
.424
.128
.152
.169
.005
.006
.108 |
-.144
.111
-.039
-.007
.025
.109 |
9.630
-1.976
1.520
-.536
-.069
.235
1.509 |
.000
.050
.130
.593
.945
.815
.133 |
3.864
-.335
-.232
-.233
-.008
.006
.378 |
.663
.143
.174
.141
.005
.007
.175 |
-.169
-.097
-.124
-.166
.102
.152 |
5.832
-2.350
-1.336
-1.656
-1.475
.904
2.162 |
.000
.020*
.183
.099
.142
.367
.032* |
EAI (ER)
Constant Gender Race Education Age
Experience
Attitudes |
3.353 .387 8.658 .000 4.623 .512 9.031 .000
.119 .117 .073 1.017 .311 .078 .110 .052 .710 .478
.202 .139 .104 1.454 .148 -.173 .134 -.095 -1.285 .200
-.068 .154 -.032 -.443 .148 -.179 .109 -.125 -1.643 .102
.008 .004 .191 1.831 .069 .003 .004 .086 .744 .458
.003 .006 .049 .469 .639 .005 .005 .112 .975 .331
.139 .099 .100 1.403 .162 -.045 .135 -.024 -.332 .740 |
EAI (PT)
Constant
Gender
Race
Education
Age
Experience
Attitudes |
4.442 .341 12.024 .000 4.012 .575 6.980 .000
-.273 .103 -.188 -2.654 .009* -.239 .124 -.142 -1.935 .054
.412 .123 .238 3.361 .001* -.093 .151 -.046 -.619 .537
.012 .136 .007 .091 .927 .016 .122 .010 .132 .895
-.002 .004 -.040 -.389 .698 -.005 .005 -.130 -1.128 .261
-.001 .005 -.102 -.117 .907 .005 .006 .096 .834 .406
.038 .087 .031 .435 .664 .302 .152 .143 1.990 .048 |
EAI (SOA)
Constant
Gender
Race
Education
Age
Experience
Attitudes |
4.292
-.153
.200
.225
.005
-.003
.047 |
.385
.116
.138
.153
.004
.006
.098 |
-.097
.106
.108
.114
-.055
.035 |
11.159
-1.323
1.448
1.465
1.074
-.516
.480 |
.000
.188*
.149
.145
.284
.607
.632 |
4.610
-.214
.022
-.009
-.003
.012
.070 |
.570
.123
.150
.121
.005
.006
.151 |
-.128
.011
-.006
-.078
.237
.034 |
8.082
-1.741
.147
-.075
-.672
2.057
.466 |
.000
.083
.883
.940
.503
.041
.642 |
Note. AM = Affective Mentalizing, AR = Affective Response, ER = Emotion Regulation, PT = Perspective Taking,
SOA = Self–Other Awareness, Attitudes = Mean Score on APPS or ATTS.
*p < .05. **p < .01.
Stacey Diane Aranez Litam is an assistant professor at Cleveland State University. Correspondence can be addressed to Stacey Litam, 2121 Euclid Avenue, Julka Hall 272, Cleveland, Ohio 44115, s.litam@csuohio.edu.
Oct 1, 2019 | Book Reviews
by Donald A. Schutt, Jr.
In A Strengths-Based Approach to Career Development Using Appreciative Inquiry, Donald Schutt presents a comprehensive overview of how career development professionals can adapt an organizational appreciative inquiry process in their work with clients. Schutt makes an argument for the point that every individual possesses fundamental strengths that can serve as a launch pad for creating positive change in one’s career journey. Schutt begins the text by sharing details on career development and the appreciative inquiry model separately. He then moves on to explain the connections between career development and appreciative inquiry, explaining the strengths-based approach to career development and comparing appreciative inquiry with other strengths-based approaches. Schutt provides a thorough explanation of appreciative inquiry and outlines the process of comparing the career development process with the appreciative cycle. He provides a detailed guide that presents the overlap between both models and provides an example that presents the strengths-based approach to career development in practice.
The most obvious strength of this book is its focus on approaching clients from a place of abundance and not deficit. Inherent in this appreciative inquiry approach is the idea that all clients have innate strengths that can be leveraged in their career journey. It is the job of the career development professional to guide the client in discovering what Schutt refers to as their “positive core strengths” and then discovering career choices that align with those strengths and creating an action plan for achieving career goals.
In addition, Schutt provides a detailed workshop example complete with presentation slides that a career development professional could modify and implement as a workshop. The presentation example provides a potential agenda; a breakdown of the workshop and each slide has comments that could be used with clients. With this example, Schutt makes it easy for a career development professional to either replicate a version of this workshop with a group of clients or even modify the contents for the presentation to work with clients in a one-on-one setting.
Furthermore, Schutt provides scripts, activity guides, and the “Appreciative Inquiry Interview” guide in the appendices. These resources make it easy to visualize Schutt’s concepts to gain a deeper understanding of the process while reading the book. Additionally, the resources create a ready-to-implement intervention that career development professionals can use without too much extra research outside of the book.
A limitation of this text is not in the content, but rather in the layout. Schutt spends the first chapter of the book providing a brief overview of appreciative inquiry—the shift from organizational appreciative inquiry to working with clients, the connections between career development and appreciative inquiry, and so on. However, for the reader who is unfamiliar with appreciative inquiry, they still are left asking the question “What is appreciative inquiry?” for most of the first chapter. It is not until Chapter 2 that Schutt answers that question by presenting a detailed definition of appreciative inquiry and its principles, and then the concepts from Chapter 1 begin to make sense for the reader.
There is an interview component to this approach that involves partners pairing with each other to reflect and deliver feedback. This component is what makes Schutt’s appreciative inquiry process ideal for career development professionals who are interested in working with groups or delivering workshops. That being said, the appreciative inquiry process as presented by Schutt can be modified for working with individuals in a one-on-one setting. The resources provided are easily modified and the concepts are easily adapted. The process seems to be most ideal for adult clients who are willing to engage in self-reflection to uncover their strengths and develop action plans for turning their strengths into goals and, in turn, reality.
Schutt, D. A., Jr. (2018). A strengths-based approach to career development using appreciative inquiry (2nd ed.). Broken Arrow, OK: National Career Development Association.
Reviewed by: Mary O. Edwin, NCC, University of Missouri–St. Louis
The Professional Counselor
tpcjournal.nbcc.org
Sep 13, 2019 | Volume 9 - Issue 3
Janeé R. Avent Harris, Jasmine L. Garland McKinney, Jessica Fripp
Many African Americans utilize religious coping strategies when responding to life transitions and challenges. Although research related to religious coping practices is represented in the literature, studies related specifically to African Americans are limited. Therefore, the purpose of this qualitative phenomenological study (N = 7) was to investigate the religious coping practices of Christian African Americans. The following six themes emerged: (1) God is a keeper: Getting through the “valley”; (2) positive religious coping; (3) negative religious coping; (4) spiritual growth; (5) “godly counsel” and “sound doctrine”; and (6) “Black people do not go to counseling.” Implications for counselors in providing more culturally relevant services, assessing for religious coping strategies, and collaborating with local faith communities are included. Recommendations for future research are provided.
Keywords: African Americans, religious coping, Christian, qualitative, phenomenological
According to the National Institute of Mental Health (NIMH; 2016), 44.7 million adults live with a mental illness in the United States. However, less than 50% of those adults participate in mental health services. Although the value of mental health treatment is not relegated to a particular group, participation in mental health treatment among the general population remains inconsistent. Notably, African Americans are less likely than other racial and ethnic groups to attend counseling services, but they live with more severe conditions because these matters remain unaddressed (Fripp & Carlson, 2017; National Alliance of Mental Illness [NAMI], 2018). The American Psychiatric Association (APA; 2017) reported that only 1 in 3 African Americans who need mental health treatment receive it, utilizing services at lower rates than non-Hispanic Whites. Similarly, Dalencour et al. (2017) noted that between 2008 and 2012, roughly 30% of African Americans with a mental illness utilized services to treat their condition. Although poverty and exposure to violence are not exclusive to African Americans, these experiences exacerbate the development of mental health conditions (Kawaii-Bogue, Williams, & MacNear, 2017), resulting in post-traumatic stress disorder, major depression, suicide, and attention deficit hyperactivity disorder among this particular population. African American women, in particular, often face the pressure to adhere to the “strong Black woman” image (Matthews, Corrigan, Smith, & Aranda, 2006, p. 258), as they are expected to manage stressors without assistance.
Better mental health can increase overall wellness, build resilience, and provide individuals with the necessary tools and coping skills to combat mental health symptoms. Although these benefits reduce the negative psychological, behavioral, and emotional impact of life stressors, certain factors prevent African Americans from seeking services for symptomology. NAMI (2018) reports that a lack of understanding about the benefits of mental health is a contributing factor that distances African Americans from the services they need. They are often unfamiliar with the warning signs of mental health symptoms and report apprehension about accessing care (Avent Harris & Wong, 2018). For African Americans that do access care, they can receive the wrong diagnosis or be prescribed higher dosages of medication (NAMI, 2018). Additionally, when African Americans believe there is a mental health problem, they take concerns to a primary care provider versus a mental health professional (Hays & Lincoln, 2017). Often, African Americans feel most comfortable seeking support for emotional and mental health concerns from their religious communities (Avent, Cashwell, & Brown-Jeffy, 2015).
Faith and spirituality are reliable resources for African American communities (Hays & Lincoln, 2017; NAMI, 2018; Young, Griffith, & Williams, 2003) and can provide a means to cope when engagement in counseling services is low. Turner, Hastings, and Neighbors (2018) conducted a study with a large number of participants (N = 5,008) focusing on the mental health help-seeking patterns of African American and Black Caribbean adults. These researchers sought to understand the relationship between race, ethnicity, religion, and help-seeking. Their results indicated that older adults with a stronger connection to their religion were more likely to participate in counseling (Turner et al., 2018). In many ways, this finding conflicts with some previous findings that suggest higher religiosity might decrease mental health treatment usage (Avent Harris & Wong, 2018). Researchers must continue to investigate this phenomenon and seek opportunities to harness religious coping as a pathway to mental health and wellness among African Americans.
The Role of Religious Coping in Mental Health
Although researchers are intrigued by religion’s role in mental health outcomes, religious coping remains a complicated construct to unpack. Religion is often a source of support and provides a sense of meaning when experiencing difficult life stressors (Park, 2005). According to Jackson and Bergeman (2011), multiple benefits for religiosity include resilience, broader support system, sense of meaning and hope, and perceived control over circumstances. Religious coping is often accessible and includes but is not limited to prayer, meditation, and worship (Pargament, Smith, Koenig, & Perez, 1998).
Pargament, Feuille, and Burdzy (2011) recognize Pargament et al.’s (1998) Brief Religious Coping (Brief RCOPE) scale as the most common assessment of religious coping. In this quantitative assessment, individuals can identify the particular religious coping strategies they use (e.g., looked for a stronger connection with God). Pargament et al. (1998) found that religious coping can be classified as negative or positive. Usually those who employ adaptive coping strategies create opportunities to incorporate belief in God in a healthy way, coalescing religious strategies with coping tools received in mental health treatment. However, it also is possible for individuals to engage in maladaptive forms of religious coping. This is characterized by depending solely on God for action and often blaming God when adverse circumstances persist (Avent, 2016; Pargament et al., 1998). Maladaptive religious coping is linked to negative health outcomes (Pargament et al., 2011). Further, there are psychological implications of negative religious coping. When individuals depend solely on spirituality without therapeutically confronting traumas and emotional symptoms, they miss opportunities to uncover and appropriately heal from past and present hurts (Avent, 2016). Although African Americans are known to use faith and spirituality to address emotional, physical, and psychological concerns, the research remains limited on how these strategies are enacted.
Although there is extensive research with the Brief RCOPE, Pargament et al. (2011) recommend further investigation into the instrument’s application with diverse populations. The brief nature of the assessment allows counselors to obtain information in a short amount of time; however, it might limit the amount of data collected and other styles of religious coping can remain unaccounted for. Thus, it is important for counselors and counseling researchers to seek more information about the religious coping practices of individuals, such as African Americans, who are historically underrepresented in mental health research and central to the conversation on mental health and spirituality.
African Americans’ Use of Religious Coping
The Pew Research Center (2018) reported that African Americans are more likely to identify as Christian than other Americans in the United States. Eighty-three percent of African Americans believe in God with absolute certainty (Pew Research Center, 2018) and 75% consider religion to be important in their lives. Seventy-five percent of African Americans report that they pray daily (Pew Research Center, 2018). Given the salience of religion in the lives of African Americans, it is imperative for counselors to consider how these beliefs inform coping practices. Chatters, Taylor, Jackson, and Lincoln (2008) reported that African American and Black Caribbean women were more likely to use religious coping than men, and those who are married utilized religious coping more than those who are unmarried.
Although African Americans have increased their proximity to mental health resources, preferences toward religiosity over formal help-seeking remain (Dempsey, Butler, & Gaither, 2016; Hardy, 2012). Hankerson, Watson, Lukachko, Fullilove, and Weissman (2013) conducted a series of focus groups with African American pastors of a predominantly Black megachurch in New York to learn more about individuals’ experiences with depression and the role and responsibilities of churches to respond to this diagnosis. Through consensual qualitative research, the scholars found that pastors prayed with members and provided them scripture-based guidance. The pastors also mentioned referring parishioners to more formal counseling services depending on the severity of the issue. However, the church remains an integral part of African Americans’ coping support systems (Campbell & Littleton, 2018). Similarly, Avent et al. (2015) found that Christian African Americans seek out religious supports for a diverse range of life circumstances, often going to their pastor for guidance rather than a professional counselor. These strong ties to faith communities and reliance on religious coping support warrant additional attention from counseling researchers and practitioners.
The integration of an individual’s religious and spiritual background is not only culturally responsive, but it is considered ethically responsible in treatment (American Counseling Association, 2014; National Board for Certified Counselors, 2016). However, given the dearth of literature that exists that focuses explicitly on Christian African American experiences with religious coping, counselors may feel ill-prepared to have these critical conversations and unequipped to integrate these interventions and techniques in the therapeutic relationship. Therefore, the purpose of this study was to investigate the religious coping practices of Christian African Americans. The research question that guided the study was, “What are the experiences of Christian African Americans who use religious coping practices?”
Methods
The purpose of phenomenology is to unearth the essence of individuals’ experiences with a particular phenomenon (Moustakas, 1994). This research approach assumes that multiple realities can co-exist simultaneously and juxtaposes more positivist, quantitative perspectives that suggest a certainty in knowledge (Hays & Singh, 2012; Hays & Wood, 2011), and participants can share their personal experiences with the phenomenon under investigation (Hays & Wood, 2011). In this case, this methodological approach seemed to be most appropriate to investigate the experience of African Americans in using religious coping to respond to life stressors. More specifically, in regards to counseling research, phenomenology is often used to explore issues related to culture and diversity (Flynn, Korcuska, Brady, & Hays, 2019).
Research Team
The research team consisted of the first and second authors. Both team members identify as Christian African American women with personal experience and professional interest in the study’s phenomena. The first author is an assistant professor with a background in teaching and conducting qualitative research. The second author is a master’s-level counseling student with previous research experience.
The research team remained intentional throughout the methodological procedures to minimize the influence of their own biases and expectations. For example, the team met before data collection to engage in bracketing. Through bracketing, the research team discussed their own experiences and how they may impact their relationship to the study and understanding of the data. The bracketing continued through the data analysis process when the team members identified any reactions to the data and agreed to hold each other accountable in minimizing the impact of their own biases on the findings (Hays & Singh, 2012).
Participants
One of the critical elements of the phenomenology approach is the intentionality in choosing participants; eligible participants are considered those who have an in-depth and intimate knowledge of the phenomena (Hays & Singh, 2012). Eligible participants were adults who identified as African American and Christian, recruited through purposive and snowball sampling methods via social media postings and email, and invited to tell others who may be interested (Hays & Singh, 2012).
In total, seven participants responded and completed the interview. This number of participants is sufficient for phenomenology methodology (Creswell, 2013). All the participants identified as heterosexual women. The recruitment was open to men as well. Two men indicated interest in participating but did not follow through with completing the interview. Of the seven participants, five indicated their relationship status as married and two described themselves as single. The participants’ ages ranged from 26–58 years old, and the mean annual income of participants was $69,071. This study revealed a mix of denominations: Two participants identified as non-denominational, and one participant each identified as Methodist, Christian, Pentecostal, Protestant, and Presbyterian, respectively. Three participants graduated with their master’s degree, one graduated with a doctorate, two graduated with bachelor’s degrees, and one indicated that she was currently attending college. Three participants indicated they had participated in counseling services, three indicated they had not, and one indicated participation in pastoral counseling.
It is important to situate the current study’s participants’ demographics within the context of the larger society. Generally, African American women earn less than African American men and White men and women (Hegewisch & Hartmann, 2019). The median income of the current participants is higher than the median income of African American households in the United States (i.e., $40,258; Fontenot, Semega, & Kollar, 2018). According to the U.S. Census Bureau (2017), 24% of African American women have at least a bachelor’s degree. In the current study, all of the participants were in college or had obtained at least a bachelor’s degree. The demographics of the current study are promising and reflect within-group differences among African Americans in regards to education and income.
Data Collection
Participants completed a demographic questionnaire and a semi-structured interview. The first author created the interview protocol questions based on what is known in existing literature and areas that warrant further exploration (Hays & Singh, 2012). For instance, there is existing research on religious coping practices; however, the questions in this interview protocol seek to understand Christian African Americans’ perspectives in particular. The qualitative nature of this study created an opportunity for participants to give their feedback on Pargament et al.’s (1998) classifications of negative and positive religious coping. The semi-structured format of the interview allowed the researchers the flexibility to follow up on participants’ responses and explore topics that emerged during the conversation (Hays & Singh, 2012). The interviews ranged from 26 to 48 minutes, with a mean of 36 minutes.
The interview protocol included the following questions: (1) If you have participated in counseling before, please tell me why you chose to go to counseling and about the process; (2) In what ways, if any, have you been encouraged to seek out professional counseling? In what ways, if any, do you feel you have been discouraged from seeking out professional counseling? (3) How would you define religious coping? (4) What are some ways you use your religious practices to cope with life circumstances? (5) In what ways do you think religious coping is beneficial? What are some limitations? (6) Often, people who engage in religious coping are less likely to seek professional counseling services. Why do you think this may be? (7) Tell me about a time you encountered a life challenge and used your religion to cope. What did this look like? How was it helpful? How was it not helpful? (8) Researchers have identified “positive” religious coping strategies and “negative” religious coping strategies. What are your reactions to these? (9) Are there any that you would classify differently? Are there any that you would take away? and (10) Can you think of times when you have used positive religious coping? What about negative religious coping? The interview concluded with asking the participants if they would like to share anything they were not asked and to reflect on their experience in the interview process. Each participant completed the interview individually.
Data Analysis
We followed Moustakas’ (1994) modification of the van Kaam method to phenomenological data analysis. We met to discuss bracketing and process our reactions and insights before the data analysis. Then, we analyzed two interviews together and identified themes. These meetings provided the second author with an opportunity to learn the process and feel more comfortable coding data independently. Next, we proceeded to review the transcripts individually, reconvening and discussing emerging themes. Themes emerged from a series of steps that included grouping participants’ words, reducing and eliminating raw data that is not related to the phenomena or might be repetitive, and clustering related statements into overarching themes. We refined the emerging themes again by checking them against the participant interviews a second time. The first author created textural and structural descriptions and shared them with the second author for discussion (Moustakas, 1994).
Trustworthiness
It is essential that researchers in qualitative studies ensure trustworthiness to maximize rigor (Hays & Singh, 2012). There are several strategies that researchers utilize to increase trustworthiness, and we infused several of these tools in our current study. The procedures in the current study reflect strategies commonly enlisted in counseling research (see Flynn et al., 2019), including our engagement in bracketing throughout the research process.
Additionally, participants received the themes and were invited to provide feedback as a part of the member checking process (Hays & Singh, 2012). Participants who responded (n = 2) agreed with the findings. We included “thick descriptions” (i.e., participant direct quotes) of the data in this article to provide context and supporting evidence for the identified themes. We also maintained an audit trail throughout the research process. Information from the audit trail, documenting the procedures and approaches from this current study, can help readers understand how the researchers arrived at the findings (Flynn et al., 2019; Hays & Singh, 2012).
Auditor findings. The external auditor was a critical part of the trustworthiness process for the current study (Hays & Singh, 2012). Our auditor identifies as a White woman. She is a graduate student who has some experience working on qualitative research studies. The auditor reviewed the participant transcripts, identified themes, and then provided feedback regarding the research team’s findings. The auditor’s findings were consistent with the research team’s themes. The auditor did note the participants’ acknowledgment for the need for professional counselors. The research team had not highlighted this perspective. Thus, we incorporated this into the discussion of the findings.
Findings
We identified the following themes: (1) God is a keeper: Getting through the “valley”; (2) positive religious coping; (3) negative religious coping; (4) spiritual growth; (5) “godly counsel” and “sound doctrine”; and (6) “Black people do not go to counseling.” The following section will expound on these findings and provide support for the themes.
God Is a Keeper: Getting Through the “Valley”
The participants recalled challenging times and transitions such as grief and loss, divorce, physical sickness, and financial difficulties. Although these defining moments are universal in the human experience, the participants interpreted these challenges through the lens of the attributes of God and their religious beliefs. The name of this theme came directly from one of the participant’s responses as she spoke to the vital role God played in sustaining her through the difficult times. This sentiment resonated with five of the seven participants, who identified God as the reason why they were able to endure struggles. God was referred to as a “keeper” either explicitly or implicitly in many of the interviews. Charisma stated, “I do believe that salvation has kept me through a lot of difficult times.” This participant identified the loss of her sibling as her most challenging circumstance, and she recalled vividly how her relationship with Christ kept her through that challenge, even as a young person. Many participants identified their challenges as the catalyst for identifying who God is in their life and connecting with this attribute. Tee defined religious coping as “a heavy or absolute reliance on God to get you through whatever . . . the trauma is or the struggle is, or in religious terms, your valley.”
Further, in many ways the participants closely aligned their church communities with God as “keeping” factors. For example, Amy recalled a “pretty dark time” in her life when she was going through a divorce. She and her husband were very involved in church and were not expecting to separate. She attributes the connection to her church, pastoral counseling, and friendships with sustaining her during that time. Amy, like many of the participants, found solace and community in her church family. These relationships were crucial sources of coping.
Positive Religious Coping
Religious coping strategies came up numerous times throughout the interviews because this was a focus of the study. Although the participants did not always talk about positive religious coping in the exact terminology (e.g., sought God’s love and care) presented by Pargament et al. (2011) and Pargament et al. (1998), all of the participants referenced times in their lives when they enacted these strategies. Some of the examples provided by the participants included following God’s direction, use of scripture and prayer to focus, attending worship services, and viewing God as a faith companion. For instance, Donna stated that she prays daily, does morning devotionals, and participates in Bible studies when she is able. She said that these practices are essential to respond to the daily struggles she may encounter. It is important to note that although church was an important element for coping for most of the participants, Kira expressed a different sentiment. Kira expressed discontent with the idea of church, but the concept of religious coping still resonated strongly with her. She spoke about using religion to help her make sense of her circumstances. For her, scriptures provided a source of meaning-making. She also expressed the fact that her understanding of religious coping evolved and deepened as she became older and the scriptures seemed more relevant. When asked, participants tended to agree on the positive religious coping styles presented by Pargament et al. (2011) in the Brief RCOPE scale and acknowledged the fine line between adaptive and maladaptive religious responses.
Negative Religious Coping
Although most participants more readily offered examples of positive religious coping, negative religious coping came up in each interview more implicitly. Some of the sentiments expressed in the interviews included jealousy, frustration, “the devil,” questioning God, isolation, lack of trust, “why me?,” “God is enough,” and a sense that moments of doubt or struggle can indicate a betrayal of God.
Toni recalled a time in her career when she felt that she had enacted negative religious coping. She said that she made statements such as “the devil must want me to be here right now.” Similarly, Kira spoke about hearing others say, “The devil this, the devil that.” After hearing the negative religious coping strategies from Pargament et al. (2011), Kira stated that although she had not felt completely abandoned by her church, she felt misunderstood many times. Tee also recalled the ways in which negative religious coping intersected with mental health in her upbringing. She remembered hearing messages such as “you just need to pray about it” and “suck it up because you’re strong.” These negative messages seemed to be perpetuated both in church and within the immediate family, as participants were encouraged to “not share family business.”
Spiritual Growth
Spiritual growth and development was an important part of conceptualizing and responding to life stressors. Participants often reflected on their faith development and attributed some of their challenges with triggering their growth. Jonica explained her journey from a young person “going through the motions” to an adult with a “relationship with God for myself.” Through this process she learned from preachers and her family to seek consultation in the scriptures. The participants spoke about the impact that their spiritual maturity has had on their coping strategies and responses to life circumstances. Many of the participants stated that they were much more spiritually mature now and, therefore, would have a more faith-based response to challenges as they arise. For instance, Donna recalled her experience with cancer and the ways the process impacted her spiritual development. She stated that her response would be different now because of her spiritual maturity. Previously she considered the cancer diagnosis as a death sentence, felt unloved by God, and was angry. Now, she said she would “smile about it and keep it going.”
For many, the church also tended to be an integral part of personal faith and spiritual development. The worship experience, in particular, was seen as a therapeutic release. Although many of the connections to the church were positive, there were some points of tension. It is important to note how different individuals’ experiences can vary. For some, the church was a path to a stronger relationship with others. For some participants, like Toni, negative experiences with the church were traumatic and created distance between the individual and their local fellowship. She recalled that “the church I grew up in was very fire and brimstone.” Whether the experiences were positive or negative, the church served as a conduit in the participant’s spiritual journey and development.
“Godly Counsel” and “Sound Doctrine”
Participants emphasized the value of the Bible and the role it played in providing guidance and direction throughout their lives, particularly during challenging situations. Often, participants juxtaposed this idea of “godly counsel” with secular counseling services. In these cases, participants emphasized the importance of advice that did not contradict the “word of God.” Charisma stated, “therapy is godly and providing you with godly wisdom” and can be a supplement to pastoral instruction and prayer. Similarly, Amy stated that she could have benefited from professional counseling but instead relied solely on pastoral counseling. In this counseling, her pastors prayed with her and gave her “godly wisdom [and] godly advice.” Participants specifically highlighted the importance of the idea of “sound doctrine” as opposed to false teaching to provide direction and comfort. For participants, “sound doctrine” meant that scriptures were properly interpreted and applied.
“Black People Do Not Go to Counseling”
All of the participants highlighted the stigma that exists among many African Americans regarding mental health help-seeking and referred to the notion that “Black people do not go to counseling.” Participants noted that in many African American communities, and especially within traditional Black Church communities, mental health is a taboo subject. The participants identified social media, family, and friends as influences on their attitudes and perspectives toward counseling. Jonica, a long-time educator, recalled some of her experiences with students and families. She noted that Black and Brown communities often have stigma about mental health treatment. A number of her students’ families experienced trauma but were discouraged from counseling because they considered it “for people who are crazy.” Participants noted the lack of African American representation amongst counselors as a potential deterrent. Amy said, “I mean a Black person going to a White person to get help? No.” The participants all agreed that the stigma about mental health treatment needed to end and that more needed to be done to increase mental health help-seeking in their communities.
Discussion
Statistics highlight the disproportionate use of mental health services by African Americans (APA, 2017). Scholars are challenged to gain a more in-depth understanding of the narratives and experiences behind these figures. Thus, the researchers in this qualitative phenomenological study sought to understand how African Americans utilized religious coping practices in response to challenging situations. Seven women participated in the interviews. This discussion contextualizes the current findings within the current literature landscape and highlights the ways this research offers new understandings.
Overwhelmingly, the majority of African Americans believe that God exists (Pew Research Center, 2018). The findings of this current study support this understanding and also illuminate the ways Christian African American women, in particular, consider God to be at work in their lives. Thus, for Christian African Americans, it is important to not only acknowledge God’s existence, but that God is active in the fabric of their everyday lives. Our participants attributed much of their resilience and ability to cope with God sustaining them through various life circumstances. Although participants did not state that God was their only source of sustainment, they did seem to suggest that it was the most vital. Although the counseling research about African Americans’ perspectives of God is more limited, this finding is consistent with research in other professions. For instance, Woodward and Sowell (2001) conducted a qualitative investigation of women diagnosed with HIV/AIDS. The participants in that study emphasized that “God is in control” as a means of coping and alluding to the involvement of God in their personal lives (p. 240). Similarly, the participants in our study found solace in trusting the sovereignty of God.
Participants in our study spoke about positive and negative religious coping strategies. It is important to note that all the participants in our sample were women, which could explain the centrality of religious coping, as Chatters et al. (2008) found that African American women were more likely to engage in religious coping practices than African American men. The participants used religious coping as a support but also as a way to make meaning, particularly in stressful situations. Although much of the literature on the intersections of faith and mental health focuses on the influence on help-seeking, the responses from these participants also provide insight into meaning-making, which is important for counselors to understand as they work with this population.
Although the focus of this current study was on religious coping, our participants spoke a great deal about faith development. Many of the insights shared aligned with popular faith development models, such as Fowler’s (1981) Stages of Faith. Thus, one can assume that a particular stage of faith may inform the type of religious coping strategy utilized. Moreover, the participants seemed to suggest that higher-order stages of faith (i.e., those stages that involve more self-reflection, awareness, openness, and the ability to acknowledge the existence of multiple truths) aligned with more positive religious coping strategies. Although an in-depth description and analysis of Fowler’s Stages of Faith is outside the scope of our study, it is important to discuss to offer some additional context for this particular theme and as a way for counselors to deepen their client conceptualizations and inform their therapeutic interventions (Parker, 2011).
The emphasis on the Bible as a coping mechanism is consistent with data from the Pew Research Center that reports that 54% of African American adults read scripture at least once per week and 51% support a literal interpretation of scripture. Thus, African Americans may be inclined to endorse scripture texts that identify suffering as a means of entry into heaven. For instance, 1 Peter 5:10 (New International Version) states: “And the God of all grace, after you have suffered for a little while, will himself restore you and make you strong, firm, and steadfast.” The ideas of suffering are extraordinarily nuanced for African Americans, as religion became a way to cope with and understand oppression. Some Black Church theologies consider suffering as a means to the desired reward in heaven (Avent & Cashwell, 2015). These theological underpinnings and understandings of scripture have an essential influence on African Americans’ preference for religious coping and under-utilization of counseling services (Avent & Cashwell, 2015).
Overall, the findings that emerged support longstanding notions that mental health stigma is prevalent in African American communities and that religion and spirituality are critical components of coping responses and understanding help-seeking patterns (Avent Harris & Wong, 2018). It is noteworthy that participants in our study were generally supportive of participating in counseling; three of the participants had participated in secular counseling. Therefore, the current findings suggest that even when negative attitudes are absent, it still might not result in help-seeking. Thus, it is time to move beyond seeking to solely understand attitudes toward help-seeking and learn more about actual coping behaviors.
One participant noted that the lack of African American counselors might serve as a deterrent for many African Americans because they may not feel comfortable opening up to someone who is Caucasian. Currently, African Americans comprise 18% of master’s students enrolled in counseling graduate programs (Council for Accreditation of Counseling and Related Education Programs, 2017). Studies such as Kim and Kang (2018) found that clients who had counselors with the same racial/ethnic identity attended more counseling sessions. Thus, counselor education programs should consider intentional recruitment efforts to increase the number of African Americans enrolled in graduate counseling programs in order to diversify the workforce. These efforts could lead to more African Americans engaging in professional counseling.
Implications for Counselors
There are many important implications for counselors from the findings of our study. First, although African Americans are confronted with many stressors stemming from both systemic oppression and universal human experiences, our participants demonstrated resilience. Counselors should be intentional in identifying strengths and highlighting ways African American communities, often led by Black churches, have persisted (Avent et al., 2015; Lincoln & Mamiya, 1990). Although counselors should ensure that they are aware of cultural barriers that contribute to a lack of participation in counseling resources, they also should be intentional about highlighting the important ways religion, spirituality, and churches are a trusted resource and source of advocacy (Avent et al., 2015; Avent Harris & Wong, 2018).
Findings from our study support the extant literature reporting that African Americans frequently adhere to cultural beliefs that suggest “Black people do not go to counseling” and are more comfortable utilizing their faith (Avent Harris & Wong, 2018; Schnittker, Freese, & Powell, 2000). This could stem from a lack of trust for mental health professionals to provide an environment that is both non-judgmental and confidential. Counselors should intentionally work to earn trust and build rapport among African Americans. One potential means to increase African American participation in counseling would be to host group therapy sessions in churches led by professional counselors. Hankerson et al. (2013) found that pastors were open to the idea of hosting group sessions and likened them to peer support groups that might already exist. For many African Americans like the participants in our study, therapeutic groups can be attractive when they are held within the context of a religious setting and can help to reduce mental health stigma.
Church–Counseling Collaborations
Although it is important to emphasize the importance of help-seeking from secular counselors, our study acknowledges value in the church as a resource and an integral part of the support networks of many African Americans. Hankerson et al. (2013) encouraged engaging Black churches as stakeholders in advancing mental health awareness and treatment. Results from our study confirm that pastors often provide both spiritual and personal counseling to members of their churches. The church has proven to be a consistent place of solace for many African Americans whether members are participating in premarital, financial, or other counseling (Avent Harris & Wong, 2018). Thus, counselors can create professional relationships with church leadership to connect to church members (Robinson, Jones-Eversley, Moore, Ravenell, & Adedoyin, 2018).
Dempsey et al. (2016) provided an overview of examples of successful collaborations with community stakeholders and Black churches. Most of these connections focus on physical health initiatives. Thus, it is incumbent upon counselors to harness support networks; the authors challenge counseling professionals to consider these collaborations as a template for mental health-focused programming. Dempsey et al. suggested the following steps can make these efforts successful: awareness, assessment, seeking approval, church health fairs, mental health training, joining the community, conducting research, and inviting wisdom. Furthermore, many historically Black fraternities and sororities have created initiatives strategically targeted to increase education and awareness around Black men’s mental health. As these organizations often have significant ties to local churches, they serve as a great partner for counselors and professional organizations.
It is vital that mental health professionals approach collaborations as mutually beneficial and growth-fostering (Jordan, 2010). That is, counselors need to be careful not to consider themselves experts, but to invite wisdom from church leaders (Dempsey et al., 2016). Participants in our study repeatedly talked about their pastors and the counseling they received from their church leaders. Although counselors are clinically trained through graduate courses and continuing education, they might consider seeking training from pastors on building rapport and relationships with African Americans. It is important to note that although licensed counselors have some commonalities in their training (e.g., CACREP standards) and must have graduate degrees, training and educational experiences among pastors vary greatly. Therefore, when forming collaborations, counselors should be aware that pastors can have varying levels of knowledge and experience related to mental health and counseling skills.
Assessment of Religious Coping
The Association for Spiritual, Ethical and Religious Values in Counseling competencies challenge counselors to consider religion and spirituality in their assessment procedures (Cashwell & Watts, 2010). Although religion and spirituality can be assessed informally or qualitatively through intake forms, the Brief RCOPE (Pargament et al., 2011; Pargament et al., 1998) provides counselors with a structured, quantitative scale. Our participants were more hesitant to volunteer information about harmful religious coping practices. However, this lack of admission did not mean they were not utilizing maladaptive practices. Researchers have noted the consequences of maladaptive religious coping (Pargament et al., 2011) on health. These considerations are especially important for African Americans as they are disproportionately represented in many physical illnesses (Singh et al., 2017). In using the Brief RCOPE scale, counselors can intercept religion as a barrier to help-seeking behaviors and in turn might promote positive religious coping strategies and significantly decrease delays in receiving mental health treatment as a result of negative religious coping (Chatters et al., 2008). Furthermore, the Brief RCOPE can serve as an important conversation starter for counselors to engage their clients about their religious coping patterns.
Recommendations for Future Research
There are many opportunities to increase our understanding of this phenomenon through future empirical investigations. Inquiries can be both qualitative and quantitative. Future researchers could replicate our qualitative study with an added emphasis on recruiting men to participate. African American men seek help less often than African American women (Sue & Sue, 2016). Therefore, future research studies should focus on the narratives of African American men in order to inform culturally relevant practices to recruit and retain this population for counseling services. Flynn et al. (2019) recommended that counseling researchers also consider diverse data types in addition to traditional interviews and focus groups. For example, researchers could ask participants to include songs that help articulate religious coping patterns; then, song lyrics could be analyzed for themes as well.
Limitations
It is important to consider our findings within the limitations of the study. First, all of the participants were women. Thus, it is unclear how gender could have impacted our results and how our findings might have differed if gender representation was more diverse. Although the data reached saturation, there may have been an opportunity to learn more about this phenomenon with an increased number of participants. An additional limitation is minimal participation (n = 2) in member checking. Increased participation in this process might have challenged the research team’s perspectives and could have increased the overall trustworthiness of the findings.
Conclusion
The participants in our qualitative study identified six themes that highlight the essence of Christian African Americans’ experiences with using religious coping to respond to challenging life circumstances. These themes confirm existing literature by reiterating the importance of religious coping and the stigma that often exists in African American communities regarding seeking formal counseling services for their emotional and mental health. Counselors have a unique opportunity to use the religious coping practices of African Americans to strengthen the cultural relevance of treatment modalities and guide collaborations with community stakeholders and faith leaders.
Conflict of Interest and Funding Disclosure
The authors reported no conflict of interest
or funding contributions for the development
of this manuscript.
References
American Counseling Association. (2014). ACA code of ethics. Alexandria, VA: Author.
American Psychiatric Association. (2017). Mental health disparities: African Americans. Retrieved from https://
www.psychiatry.org/File%20Library/Psychiatrists/Cultural-Competency/Mental-Health-Disparities/
Mental-Health-Facts-for-African-Americans.pdf
Avent, J. R. (2016). This is my story, this is my song: Using A Musical Chronology and the Emerging Life Song with
African Americans in spiritual bypass. Journal of Creativity in Mental Health, 11, 39–51.
doi:10.1080/15401383.2015.1056926
Avent, J. R., & Cashwell, C. S. (2015). The Black Church: Theology and implications for counseling African
Americans. The Professional Counselor, 5, 81–90. doi:10.15241/jra.5.1.81
Avent, J. R., Cashwell, C. S., & Brown-Jeffy, S. (2015). African American pastors on mental health, coping, and
help-seeking. Counseling and Values, 60, 32–47. doi:10.1002/j.2161-007X.2015.00059.x
Avent Harris, J. R., & Wong, C. D. (2018). African American college students, the Black Church, and
counseling. Journal of College Counseling, 21, 15–28. doi:10.1002/jocc.12084
Campbell, R. D., & Littleton, T. (2018). Mental health counselling in the Black American church: Reflections and
recommendations from counsellors serving in a counselling ministry. Mental Health, Religion, & Culture,
21, 336–352. doi:10.1080/13674676.2018.1494704
Cashwell, C. S., & Watts, R. E. (2010). The new ASERVIC competencies for addressing spiritual and religious
issues in counseling. Counseling and Values, 55, 2–5. doi:10.1002/j.2161-007X.2010.tb00018.x
Chatters, L. M., Taylor, R. J., Jackson, J. S., & Lincoln, K. D. (2008). Religious coping among African Americans,
Caribbean Blacks and Non-Hispanic Whites. Journal of Community Psychology, 36, 371–386.
doi:10.1002/jcop.20202
Council for Accreditation of Counseling and Related Educational Programs. (2017). 2017 annual report.
Alexandria, VA: Author.
Creswell, J. W. (2013). Qualitative inquiry and research design: Choosing among five approaches (3rd ed.). Los
Angeles, CA: SAGE.
Dalencour, M., Wong, E. C., Tang, L., Dixon, E., Lucas-Wright, A., Wells, K., & Miranda, J. (2017). The role of
faith-based organizations in the depression care of African Americans and Latinos in Los Angeles.
Psychiatric Services, 68, 368–374. doi:10.1176/appi.ps.201500318
Dempsey, K., Butler, S. K., & Gaither, L. (2016). Black churches and mental health professionals: Can this
collaboration work? Journal of Black Studies, 47, 73–87. doi:10.1177/0021934715613588
Flynn, S. V., Korcuska, J. S., Brady, N. V., & Hays, D. G. (2019). A 15-year content analysis of three qualitative
research traditions. Counselor Education and Supervision, 58, 49–63. doi:10.1002/ceas.12123
Fontenot, K., Semega, J., & Kollar, M. (2018). Income and poverty in the United States: 2017. Washington, DC: U.S.
Government Printing Office.
Fowler, J. W. (1981). Stages of faith: The psychology of human development and the quest for meaning (1st ed.). San
Francisco, CA: Harper & Row.
Fripp, J. A., & Carlson, R. G. (2017). Exploring the influence of attitude and stigma on participation of African
American and Latino populations in mental health services. Journal of Multicultural Counseling and
Development, 45(2), 80–94.
Hankerson, S. H., Watson, K. T., Lukachko, A., Fullilove, M. T., & Weissman, M. (2013). Ministers’ perceptions
of church-based programs to provide depression care for African Americans. Journal of Urban Health, 90,
685–698. doi:10.1007/s11524-013-9794-y
Hardy, K. M. (2012). Perceptions of African American Christians’ attitudes toward religious help-seeking:
Results of an exploratory study. Journal of Religion & Spirituality in Social Work, 31, 209–225.
doi:10.1080/15426432.2012.679838
Hays, K., & Lincoln, K. D. (2017). Mental health help-seeking profiles among African Americans: Exploring the
influence of religion. Race and Social Problems, 9(2), 127–138. doi:10.1007/s12552-017-9193-1
Hays, D. G., & Singh, A. A. (2012). Qualitative inquiry in clinical and educational settings. New York, NY: Guilford
Press.
Hays, D. G., & Wood, C. (2011). Infusing qualitative traditions in counseling research designs. Journal of
Counseling & Development, 89, 288–295.
Hegewisch, A., & Hartmann, H. (2019). The gender wage gap: 2018 earnings differences by race and ethnicity.
Retrieved from https://iwpr.org/publications/gender-wage-gap-2018
Jackson, B. R., & Bergeman, C. S. (2011). How does religiosity enhance well-being? The role of perceived
control. Psychology of Religion and Spirituality, 3(2), 149–161. doi:10.1037/a0021597
Jordan, J. V. (2010). Relational-cultural therapy. Washington, DC: American Psychological Association.
Kawaii-Bogue, B., Williams, N. J., & MacNear, K. (2017). Mental health care access and treatment utilization in
African American communities: An integrative care framework. Best Practices in Mental Health, 13(2),
11–29.
Kim, E., & Kang, M. (2018). The effects of client–counselor racial matching on therapeutic outcome. Asia Pacific
Education Review, 19, 103–110. doi:10.1007/s12564-018-9518-9
Lincoln, C. E., & Mamiya, L. H. (1990). The Black Church in the African American experience. Durham, NC: Duke
University Press.
Matthews, A. K., Corrigan, P. W., Smith, B. M., & Aranda, F. (2006). A qualitative exploration of African-
Americans’ attitudes toward mental illness and mental illness treatment seeking. Rehabilitation
Education, 20, 253–268. doi:10.1891/088970106805065331
Moustakas, C. (1994). Phenomenological research methods. Thousand Oaks, CA: SAGE.
National Alliance on Mental Illness. (2018). African American mental health. Retrieved from https://www.nami.
org/find-support/diverse-communities/african-americans
National Board for Certified Counselors. (2016). Code of ethics. Greensboro, NC: Author.
National Institute of Mental Health. (2016). Prevalence of any mental illness. Retrieved from https://www.nimh.
nih.gov/health/statistics/mental-illness.shtml
Pargament, K., Feuille, M., & Burdzy, D. (2011). The Brief RCOPE: Current psychometric status of a short
measure of religious coping. Religions, 2, 51–76. doi:10.3390/rel2010051
Pargament, K. I., Smith, B. W., Koenig, H. G., & Perez, L. (1998). Patterns of positive and negative religious
coping with major life stressors. Journal for the Scientific Study of Religion, 37, 710–724.
doi:10.2307/1388152
Park, C. L. (2005). Religion as a meaning-making framework in coping with life stress. Journal of Social Issues,
61, 707–729. doi:10.1111/j.1540-4560.2005.00428.x
Parker, S. (2011). Spirituality in counseling: A faith development perspective. Journal of Counseling &
Development, 89, 112–119. doi:10.1002/j.1556-6678.2011.tb00067.x
Pew Research Center. (2018, April 23). Black Americans are more likely than overall public to be Christian, Protestant.
Retrieved from http://www.pewresearch.org/fact-tank/2018/04/23/black-americans-are-more-likely-
than-overall-public-to-be-christian-protestant
Robinson, M. A., Jones-Eversley, S., Moore, S. E., Ravenell, J., & Adedoyin, A. C. (2018). Black male mental
health and the Black church: Advancing a collaborative partnership and research agenda. Journal of
Religion and Health, 57, 1095–1107.
Schnittker, J., Freese, J., & Powell, B. (2000). Nature, nurture, neither, nor: Black–White differences in beliefs
about the causes and appropriate treatment of mental illness. Social Forces, 78, 1101–1132.
doi:10.2307/3005943
Singh, G. K., Daus, G. P., Allender, M., Ramey, C. T., Martin, E. K., Perry, C., . . . Vedamuthu, I. P. (2017). Social
determinants of health in the United States: Addressing major health inequality trends for the nation,
1935–2016. International Journal of MCH and AIDS, 6(2), 139–164.
Sue, D. W., & Sue, D. (2016). Counseling the culturally diverse: Theory and practice (7th ed.). Hoboken, NJ:
John Wiley & Sons, Inc.
Turner, N., Hastings, J. F., & Neighbors, H. W. (2018). Mental health care treatment seeking among African
Americans and Caribbean Blacks: What is the role of religiosity/spirituality? Aging & Mental Health, 23,
905–911. doi:10.1080/13607863.2018.1453484
U.S. Census Bureau. (2017). American community survey. Retrieved May 9, 2019, from https://factfinder.
census.gov/faces/nav/jsf/pages/index.xhtml
Young, J. L., Griffith, E. E. H., & Williams, D. R. (2003). The integral role of pastoral counseling by African-
American clergy in community mental health. Psychiatric Services, 54, 688–692.
doi:10.1176/appi.ps.54.5.688
Woodard, E. K., & Sowell, R. (2001). God in control: Women’s perspectives on managing HIV infection. Clinical
Nursing Research, 10, 233–250. doi:10.1177/c10n3r2
Janeé R. Avent Harris, NCC, is an assistant professor at East Carolina University. Jasmine L. Garland McKinney is a graduate research assistant at East Carolina University. Jessica Fripp, NCC, is an assistant professor at Austin Peay State University. Correspondence can be addressed to Janeé Harris, 225A Ragsdale Hall, Mail Stop 121, Greenville, NC 27858, aventj16@ecu.edu.