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  • Review Article
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Diversity and the Hierarchical Taxonomy of Psychopathology (HiTOP)

Abstract

The Hierarchical Taxonomy of Psychopathology (HiTOP) is an empirically based, hierarchical model of the structure of psychopathology that was created in response to the limitations of traditional, categorical psychiatric classification frameworks. The HiTOP model has become increasingly popular in clinical psychology and psychiatry since its publication in 2017. In this Review, we consider the applicability of the HiTOP model to diverse, underrepresented and epistemically excluded populations. We first review the philosophy underlying psychopathology research in general to understand the impact of scientific norms on the inclusion of diverse populations within the research canon. We then review the HiTOP approach to modelling psychopathology, and how diverse populations have been included within HiTOP-related research to date. We conclude by highlighting ways for future research to increase the applicability of the HiTOP framework to diverse populations. Seriously engaging with the HiTOP model’s suitability for diverse, underrepresented and epistemically excluded populations is imperative in order to achieve the HiTOP consortium’s goal of delineating a fully empirical classification of psychopathology, and to provide a model that can guide the field of psychopathology research and training to increase representation.

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Fig. 1: Dominant norms and epistemic exclusion.
Fig. 2: The HiTOP model.
Fig. 3: Understanding sociocultural context relevant to minoritized groups within HiTOP.

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References

  1. Kotov, R. et al. The hierarchical taxonomy of psychopathology (HiTOP): a dimensional alternative to traditional nosologies. J. Abnorm. Psychol. 126, 454–477 (2017).

    PubMed  Google Scholar 

  2. DeYoung, C. G. et al. Answering questions about the hierarchical taxonomy of psychopathology (HiTOP): analogies to whales and sharks miss the boat. Clin. Psychol. 10, 279–284 (2022).

    Google Scholar 

  3. Kotov, R. et al. The hierarchical taxonomy of psychopathology (HiTOP): a quantitative nosology based on consensus of evidence. Annu. Rev. Clin. Psychol. 17, 83–108 (2021). This article reviews the state of empirical evidence supporting the HiTOP model.

    PubMed  Google Scholar 

  4. Ruggero, C. J. et al. Integrating the hierarchical taxonomy of psychopathology (HiTOP) into clinical practice. J. Consult. Clin. Psychol. 87, 1069–1084 (2019).

    PubMed  PubMed Central  Google Scholar 

  5. Perkins, E. R. et al. Neurobiology and the hierarchical taxonomy of psychopathology: progress toward ontogenetically informed and clinically useful nosology. Dial. Clin. Neurosci. 22, 51–63 (2020).

    Google Scholar 

  6. Michelini, G., Palumbo, I. M., DeYoung, C. G., Latzman, R. D. & Kotov, R. Linking RDoC and HiTOP: a new interface for advancing psychiatric nosology and neuroscience. Clin. Psychol. Rev. 86, 102025 (2021).

    PubMed  PubMed Central  Google Scholar 

  7. Waszczuk, M. A. et al. Redefining phenotypes to advance psychiatric genetics: implications from hierarchical taxonomy of psychopathology. J. Abnorm. Psychol. 129, 143–161 (2020).

    PubMed  Google Scholar 

  8. Watts, A. L. et al. New approaches to deep phenotyping in addictions. Psychol. Addict. Behav. https://doi.org/10.1037/adb0000878 (2022).

    Article  PubMed  Google Scholar 

  9. Simms, L. J. et al. Development of measures for the hierarchical taxonomy of psychopathology (HiTOP): a collaborative scale development project. Assessment 29, 3–16 (2022).

    PubMed  Google Scholar 

  10. Zimmermann, J., Widiger, T. A., Oeltjen, L., Conway, C. C. & Morey, L. C. Developing preliminary scales for assessing the HiTOP detachment spectrum. Assessment 29, 75–87 (2022).

    PubMed  Google Scholar 

  11. Cicero, D. C. et al. Development of the thought disorder measure for the hierarchical taxonomy of psychopathology. Assessment 29, 46–61 (2022).

    PubMed  Google Scholar 

  12. Sellbom, M. et al. HiTOP Assessment of the somatoform spectrum and eating disorders. Assessment 29, 62–74 (2022).

    PubMed  Google Scholar 

  13. Watson, D. et al. The development of preliminary HiTOP internalizing spectrum scales. Assessment 29, 17–33 (2022).

    PubMed  Google Scholar 

  14. Mullins-Sweatt, S. N. et al. HiTOP Assessment of externalizing antagonism and disinhibition. Assessment 29, 34–45 (2022).

    PubMed  Google Scholar 

  15. Forbes, M. K. et al. Principles and procedures for revising the Hierarchical Taxonomy of Psychopathology. Preprint at https://doi.org/10.31234/osf.io/xr48p (2023).

  16. Henrich, J., Heine, S. J. & Norenzayan, A. The weirdest people in the world? Behav. Brain Sci. 33, 61–83; discussion 83–135 (2010).

    PubMed  Google Scholar 

  17. Settles, I. H., Warner, L. R., Buchanan, N. T. & Jones, M. K. Understanding psychology’s resistance to intersectionality theory using a framework of epistemic exclusion and invisibility. J. Soc. Issues 76, 796–813 (2020). This article carefully illustrates how ignorance of intersectionality theory results in epistemic exclusion of research on, by and for underrepresented populations.

    Google Scholar 

  18. Buchanan, N. T. & Wiklund, L. O. Why clinical science must change or die: integrating intersectionality and social justice. Women Ther. 43, 309–329 (2020). This article outlines how focusing on intersectionality theory and social justice can improve psychological science.

    Google Scholar 

  19. Rodriguez-Seijas, C. A. et al. The next generation of clinical psychological science: moving toward antiracism. Preprint at https://doi.org/10.31234/osf.io/mhdx8 (2023).

  20. Kidd, S. A. The role of qualitative research in psychological journals. Psychol. Methods 7, 126–138 (2002).

    PubMed  Google Scholar 

  21. Eagly, A. H. & Riger, S. Feminism and psychology: critiques of methods and epistemology. Am. Psychol. 69, 685–702 (2014).

    PubMed  Google Scholar 

  22. Magnusson, E. & Marecek, J. in The Palgrave Handbook of Critical Social Psychology (ed. Gough, B.) 17–35 (Palgrave Macmillan, 2017).

  23. McCormick-Huhn, K., Warner, L. R., Settles, I. H. & Shields, S. A. What if psychology took intersectionality seriously? Changing how psychologists think about participants. Psychol. Women Q. 43, 445–456 (2019).

    Google Scholar 

  24. Bowleg, L. When Black + Lesbian + Woman ≠ Black Lesbian Woman: the methodological challenges of qualitative and quantitative intersectionality research. Sex. Roles 59, 312–325 (2008).

    Google Scholar 

  25. Hoppe, T. A. et al. Topic choice contributes to the lower rate of NIH awards to African-American/black scientists. Sci. Adv. 5, eaaw7238 (2019).

    PubMed  PubMed Central  Google Scholar 

  26. Hughes, S. The philosophy of science as it applies to clinical psychology. In Process-Based CBT: The Science And Core Clinical Competencies Of Cognitive Behavioral Therapy 23–43 (New Harbinger Publications, 2018).

  27. Rodriguez-Seijas, C. Sociocultural context and the DSM-5 alternative model of personality disorder: comment on Widiger and Hines (2022). Personal. Disord. Theory Res. Treat. 13, 356–359 (2022).

    Google Scholar 

  28. Rodriguez-Seijas, C. A., Rogers, B. & Asadi, S. Personality disorders research and social decontextualization: what it means to be a minoritized human. Personal. Disord. Theory Res. Treat. 14, 29–38 (2023). This article illustrates how the theory, research and treatment of personality disorders overlooks important societal determinants of health for sexual- and gender-minority populations.

    Google Scholar 

  29. Karter, J. M. & Kamens, S. R. in Critical Psychiatry (ed. Steingard, S.) 17–69 (Springer International Publishing, 2019).

  30. Aftab, A. & Ryznar, E. Conceptual and historical evolution of psychiatric nosology. Int. Rev. Psychiat. 33, 486–499 (2021).

    Google Scholar 

  31. Marecek, J. Invited reflection: intersectionality theory and feminist psychology. Psychol. Women Q. 40, 177–181 (2016).

    Google Scholar 

  32. Roberts, S. O., Bareket-Shavit, C., Dollins, F. A., Goldie, P. D. & Mortenson, E. Racial inequality in psychological research: trends of the past and recommendations for the future. Perspect. Psychol. Sci. 15, 1295–1309 (2020).

    PubMed  Google Scholar 

  33. Perez Aquino, P. A Content Analysis of Ethnic Minorities in the Professional Discipline of Clinical Psychology. MSc thesis, Brigham Young University (2020).

  34. Hartmann, W. E. et al. In search of cultural diversity, revisited: recent publication trends in cross-cultural and ethnic minority psychology. Rev. Gen. Psychol. 17, 243–254 (2013).

    Google Scholar 

  35. Nagendra, A. et al. How often do US-based schizophrenia papers published in high-impact psychiatric journals report on race and ethnicity? A 20-year update of Lewine and Caudle (1999). J. Ment. Health 31, 649–656 (2020).

    PubMed  Google Scholar 

  36. Adams, L. M. & Miller, A. B. Mechanisms of mental-health disparities among minoritized groups: how well are the top journals in clinical psychology representing this work? Clin. Psychol. Sci. 10, 387–416 (2022).

    PubMed  Google Scholar 

  37. Santiago, C. D. & Miranda, J. Progress in improving mental health services for racial-ethnic minority groups: a ten-year perspective. Psychiatr. Serv. 65, 180–185 (2014).

    PubMed  Google Scholar 

  38. Bresnahan, M. et al. Race and risk of schizophrenia in a US birth cohort: another example of health disparity? Int. J. Epidemiol. 36, 751–758 (2007).

    PubMed  Google Scholar 

  39. Schwartz, R. C. & Blankenship, D. M. Racial disparities in psychotic disorder diagnosis: a review of empirical literature. World J. Psychiat. 4, 133–140 (2014).

    Google Scholar 

  40. Gara, M. A. et al. Influence of patient race and ethnicity on clinical assessment in patients with affective disorders. Arch. Gen. Psychiat. 69, 593–600 (2012).

    PubMed  Google Scholar 

  41. Auelua-Toomey, S. L. & Roberts, S. O. The effects of editorial-board diversity on race scholars and their scholarship: a field experiment. Perspect. Psychol. Sci. 17, 1766–1777 (2022).

    PubMed  Google Scholar 

  42. McFall, R. M. Manifesto for a science of clinical psychology. Clin. Psychol. 44, 75–88 (1991).

    Google Scholar 

  43. American Psychiatric Association. Diagnostic And Statistical Manual Of Mental Disorders 5th edn (2013).

  44. World Health Organization. International Statistical Classification of Diseases and Related Health Problems: Alphabetical Index (2004).

  45. Rodriguez-Seijas, C., Eaton, N. R. & Krueger, R. F. How transdiagnostic factors of personality and psychopathology can inform clinical assessment and intervention. J. Pers. Assess. 97, 425–435 (2015).

    PubMed  Google Scholar 

  46. Eaton, N. R. et al. Ethnicity and psychiatric comorbidity in a national sample: evidence for latent comorbidity factor invariance and connections with disorder prevalence. Soc. Psychiat. Psychiat. Epidemiol. 48, 701–710 (2013).

    Google Scholar 

  47. He, Q. & Li, J. J. Factorial invariance in hierarchical factor models of mental disorders in African American and European American youths. J. Child. Psychol. Psychiat. 62, 289–298 (2021).

    PubMed  Google Scholar 

  48. Eaton, N. R. Transdiagnostic psychopathology factors and sexual minority mental health: evidence of disparities and associations with minority stressors. Psychol. Sex. Orientat. Gend. Divers. 1, 244–254 (2014).

    PubMed  PubMed Central  Google Scholar 

  49. Eaton, N. R., Krueger, R. F. & Oltmanns, T. F. Aging and the structure and long-term stability of the internalizing spectrum of personality and psychopathology. Psychol. Aging 26, 987–993 (2011).

    PubMed  PubMed Central  Google Scholar 

  50. Afzali, M. H., Sunderland, M., Carragher, N. & Conrod, P. The structure of psychopathology in early adolescence: study of a Canadian sample: La structure de la psychopathologie au début de l’adolescence: étude d’un échantillon canadien. Can. J. Psychiat. 63, 223–230 (2018).

    Google Scholar 

  51. Eaton, N. R. et al. An invariant dimensional liability model of gender differences in mental disorder prevalence: evidence from a national sample. J. Abnorm. Psychol. 121, 282–288 (2012).

    PubMed  Google Scholar 

  52. Krueger, R. F., Chentsova-Dutton, Y. E., Markon, K. E., Goldberg, D. & Ormel, J. A cross-cultural study of the structure of comorbidity among common psychopathological syndromes in the general health care setting. J. Abnorm. Psychol. 112, 437–447 (2003).

    PubMed  Google Scholar 

  53. Üstün, T. B. WHO Collaborative Study: an epidemiological survey of psychological problems in general health care in 15 centers worldwide. Int. Rev. Psychiat. 6, 357–363 (1994).

    Google Scholar 

  54. Kessler, R. C. et al. The WHO world mental health (WMH) surveys. Psychiatr. Stuttg. Ger. 6, 5–9 (2009).

    Google Scholar 

  55. Kessler, R. C. et al. Development of lifetime comorbidity in the World Health Organization world mental health surveys. Arch. Gen. Psychiat. 68, 90–100 (2011).

    PubMed  Google Scholar 

  56. de Jonge, P. et al. The cross-national structure of mental disorders: results from the World Mental Health Surveys. Psychol. Med. 48, 2073–2084 (2018).

    PubMed  Google Scholar 

  57. Slade, T. & Watson, D. The structure of common DSM-IV and ICD-10 mental disorders in the Australian general population. Psychol. Med. 36, 1593–1600 (2006).

    PubMed  Google Scholar 

  58. Caspi, A. et al. The p factor: one general psychopathology factor in the structure of psychiatric disorders? Clin. Psychol. Sci. 2, 119–137 (2014).

    PubMed  PubMed Central  Google Scholar 

  59. Røysamb, E. et al. The joint structure of DSM-IV axis I and axis II disorders. J. Abnorm. Psychol. 120, 198–209 (2011).

    PubMed  PubMed Central  Google Scholar 

  60. Vollebergh, W. A. et al. The structure and stability of common mental disorders: the NEMESIS study. Arch. Gen. Psychiat. 58, 597–603 (2001).

    PubMed  Google Scholar 

  61. Shevlin, M., McElroy, E. & Murphy, J. Homotypic and heterotypic psychopathological continuity: a child cohort study. Soc. Psychiatry Psychiat. Epidemiol. 52, 1135–1145 (2017).

    Google Scholar 

  62. Markon, K. E. & Krueger, R. F. Categorical and continuous models of liability to externalizing disorders: a direct comparison in NESARC. Arch. Gen. Psychiat. 62, 1352–1359 (2005).

    PubMed  Google Scholar 

  63. Rodriguez-Seijas, C., Eaton, N. R. & Pachankis, J. E. Prevalence of psychiatric disorders at the intersection of race and sexual orientation: results from the National Epidemiologic Survey of Alcohol and Related Conditions — III. J. Consult. Clin. Psychol. 87, 321–331 (2019).

    PubMed  Google Scholar 

  64. Krueger, R. F. The structure of common mental disorders. Arch. Gen. Psychiat. 56, 921–926 (1999).

    PubMed  Google Scholar 

  65. Rodriguez-Seijas, C., Stohl, M., Hasin, D. S. & Eaton, N. R. Transdiagnostic factors and mediation of the relationship between perceived racial discrimination and mental disorders. JAMA Psychiat. 72, 706–713 (2015).

    Google Scholar 

  66. Meredith, W. Measurement invariance, factor analysis and factorial invariance. Psychometrika 58, 525–543 (1993).

    Google Scholar 

  67. Gregorich, S. E. Do self-report instruments allow meaningful comparisons across diverse population groups? Testing measurement invariance using the confirmatory factor analysis framework. Med. Care 44, S78 (2006).

    PubMed  PubMed Central  Google Scholar 

  68. Cicero, D. C. & Ruggero, C. J. Commentary — Opening a can of worms: the importance of testing the measurement invariance of hierarchical models of psychopathology — a commentary on He and Li (2020). J. Child. Psychol. Psychiat. 62, 299–302 (2021). This article discusses the importance and limitations of measurement invariance studies in HiTOP model research.

    Google Scholar 

  69. Grant, B. F., Moore, T. & Kaplan, K. Source and Accuracy Statement: Wave 1 National Epidemiologic Survey on Alcohol and Related Conditions (National Institute on Alcohol Abuse and Alcoholism, 2003).

  70. Forbush, K. & Watson, D. The structure of common and uncommon mental disorders. Psychol. Med. 43, 97–108 (2013).

    PubMed  Google Scholar 

  71. Helms, J. E., Jernigan, M. & Mascher, J. The meaning of race in psychology and how to change it: a methodological perspective. Am. Psychol. 60, 27–36 (2005).

    PubMed  Google Scholar 

  72. Richeson, J. A. & Sommers, S. R. Toward a social psychology of race and race relations for the twenty-first century. Annu. Rev. Psychol. 67, 439–463 (2016).

    PubMed  Google Scholar 

  73. Ford, M. E. & Kelly, P. A. Conceptualizing and categorizing race and ethnicity in health services research. Health Serv. Res. 40, 1658–1675 (2005).

    PubMed  PubMed Central  Google Scholar 

  74. Morning, A. “Everyone knows it’s a social construct”: contemporary science and the nature of race. Sociol. Focus. 40, 436–454 (2007).

    Google Scholar 

  75. Williams, D. T. A call to focus on racial domination and oppression: a response to “Racial and ethnic inequality in poverty and affluence, 1959–2015”. Popul. Res. Policy Rev. 38, 655–663 (2019).

    Google Scholar 

  76. Cikara, M., Martinez, J. E. & Lewis, N. A. Moving beyond social categories by incorporating context in social psychological theory. Nat. Rev. Psychol. 1, 537–549 (2022).

    Google Scholar 

  77. Call, C. et al. An ethics and social justice approach to collecting and using demographic data for psychological researcher. Perspect. Psychol. Sci. https://doi.org/10.1177/17456916221137350 (2022).

    Article  PubMed  Google Scholar 

  78. Cheung, F. M., van de Vijver, F. J. R. & Leong, F. T. L. Toward a new approach to the study of personality in culture. Am. Psychol. 66, 593–603 (2011).

    PubMed  Google Scholar 

  79. Church, A. T. Personality traits across cultures. Curr. Opin. Psychol. 8, 22–30 (2016).

    PubMed  Google Scholar 

  80. Thalmayer, A. G., Job, S., Shino, E. N., Robinson, S. L. & Saucier, G. ǂŪsigu: a mixed-method lexical study of character description in Khoekhoegowab. J. Pers. Soc. Psychol. 121, 1258–1283 (2021).

    PubMed  Google Scholar 

  81. Gurven, M., von Rueden, C., Massenkoff, M., Kaplan, H. & Lero Vie, M. How universal is the Big Five? Testing the five-factor model of personality variation among forager–farmers in the Bolivian Amazon. J. Pers. Soc. Psychol. 104, 354–370 (2013).

    PubMed  Google Scholar 

  82. Arshad, M. & Chung, J. M. Practical recommendations for considering culture, race, and ethnicity in personality psychology. Soc. Personal. Psychol. Compass. 16, e12656 (2022).

    Google Scholar 

  83. Thalmayer, A. G., Saucier, G., Ole-Kotikash, L. & Payne, D. Personality structure in east and west Africa: lexical studies of personality in Maa and Supyire-Senufo. J. Pers. Soc. Psychol. 119, 1132–1152 (2020).

    PubMed  Google Scholar 

  84. Markon, K. Modeling psychopathology structure: a symptom-level analysis of axis I and II disorders. Psychol. Med. 40, 273–288 (2010).

    PubMed  Google Scholar 

  85. Wright, A. G. et al. The hierarchical structure of DSM-5 pathological personality traits. J. Abnorm. Psychol. 121, 951–957 (2012).

    PubMed  PubMed Central  Google Scholar 

  86. Achenbach, T. M. et al. Multicultural assessment of child and adolescent psychopathology with ASEBA and SDQ instruments: research findings, applications, and future directions. J. Child. Psychol. Psychiat. 49, 251–275 (2008).

    PubMed  Google Scholar 

  87. Cohen, J. M., Feinstein, B. A., Rodriguez-Seijas, C., Taylor, C. B. & Newman, M. G. Rejection sensitivity as a transdiagnostic risk factor for internalizing psychopathology among gay and bisexual men. Psychol. Sex. Orientat. Gend. Divers. 3, 259–264 (2016).

    PubMed  PubMed Central  Google Scholar 

  88. Eaton, N. R., Rodriguez-Seijas, C. & Pachankis, J. E. Transdiagnostic approaches to sexual- and gender-minority mental health. Curr. Dir. Psychol. Sci. 30, 510–518 (2021).

    Google Scholar 

  89. Feinstein, B. A. The rejection sensitivity model as a framework for understanding sexual minority mental health. Arch. Sex. Behav. 49, 2247–2258 (2020).

    PubMed  Google Scholar 

  90. Conway, C. C., Raposa, E. B., Hammen, C. & Brennan, P. A. Transdiagnostic pathways from early social stress to psychopathology: a 20-year prospective study. J. Child. Psychol. Psychiat. 59, 855–862 (2018).

    PubMed  Google Scholar 

  91. Rood, B. A. et al. Expecting rejection: understanding the minority stress experiences of transgender and gender-nonconforming individuals. Transgender Health 1, 151–164 (2016).

    PubMed  PubMed Central  Google Scholar 

  92. Cook, S. H. & Calebs, B. J. The integrated attachment and sexual minority stress model: understanding the role of adult attachment in the health and well-being of sexual minority men. Behav. Med. 42, 164–173 (2016).

    PubMed  Google Scholar 

  93. Cook, S. H., Valera, P., Wood, E. P., Calebs, B. J. & Wilson, P. A. Understanding attachment transitions through the lived experiences of young black gay and bisexual men. J. Sex. Res. 56, 604–619 (2019).

    PubMed  Google Scholar 

  94. Pachankis, J. E., Goldfried, M. R. & Ramrattan, M. E. Extension of the rejection sensitivity construct to the interpersonal functioning of gay men. J. Consult. Clin. Psychol. 76, 306–317 (2008).

    PubMed  Google Scholar 

  95. Pachankis, J. E. et al. A minority stress–emotion regulation model of sexual compulsivity among highly sexually active gay and bisexual men. Health Psychol. 34, 829–840 (2015).

    PubMed  Google Scholar 

  96. McCabe, S. E., Bostwick, W. B., Hughes, T. L., West, B. T. & Boyd, C. J. The relationship between discrimination and substance use disorders among lesbian, gay, and bisexual adults in the United States. Am. J. Public. Health 100, 1946–1952 (2010).

    PubMed  PubMed Central  Google Scholar 

  97. Lawn, W., Aldridge, A., Xia, R. & Winstock, A. R. Substance-linked sex in heterosexual, homosexual, and bisexual men and women: an online, cross-sectional “global drug survey” report. J. Sex. Med. 16, 721–732 (2019).

    PubMed  Google Scholar 

  98. Cochran, S. D. & Mays, V. M. in Sexual Orientation And Mental Health: Examining Identity And Development In Lesbian, Gay, And Bisexual People (eds Omoto, A. M. & Kurtzman, H. S.) 143–165 (American Psychological Association USA, 2006).

  99. Cochran, S. D., Ackerman, D., Mays, V. M. & Ross, M. W. Prevalence of non‐medical drug use and dependence among homosexually active men and women in the US population. Addiction 99, 989–998 (2004).

    PubMed  PubMed Central  Google Scholar 

  100. Reisner, S. L. & Hughto, J. M. W. Comparing the health of non-binary and binary transgender adults in a statewide non-probability sample. PLoS ONE 14, e0221583 (2019).

    PubMed  PubMed Central  Google Scholar 

  101. Carpiano, R. M., Kelly, B. C., Easterbrook, A. & Parsons, J. T. Community and drug use among gay men: the role of neighborhoods and networks. J. Health Soc. Behav. 52, 74–90 (2011).

    PubMed  Google Scholar 

  102. Grov, C. HIV risk and substance use in men who have sex with men surveyed in bathhouses, bars/clubs, and on craigslist.org: venue of recruitment matters. AIDS Behav. 16, 807–817 (2012).

    PubMed  PubMed Central  Google Scholar 

  103. Cochran, S. D., Grella, C. E. & Mays, V. M. Do substance use norms and perceived drug availability mediate sexual orientation differences in patterns of substance use? Results from the California Quality of Life Survey II. J. Stud. Alcohol. Drugs 73, 675–685 (2012).

    PubMed  PubMed Central  Google Scholar 

  104. Garcia, J. et al. ‘You’re really gonna kick us all out?’ Sustaining safe spaces for community-based HIV prevention and control among black men who have sex with men. PLoS One 10, e0141326 (2015).

    PubMed  PubMed Central  Google Scholar 

  105. Rodriguez-Seijas, C. A., Rogers, B. G., Harkness, A., Safren, S. A. & Pachankis, J. E. Party n’ play: associations between sex-related substance use and the disinhibited externalizing spectrum among gay and bisexual men. Clin. Psychol. Sci. https://doi.org/10.1177/21677026231158062 (2023).

    Article  Google Scholar 

  106. Farrington, D. P., Jolliffe, D., Loeber, R. & Homish, D. L. How many offenses are really committed per juvenile court offender? Vict. Offend. 2, 227–249 (2007).

    Google Scholar 

  107. Bayley, D. H. Patterns Of Policing: A Comparative International Analysis (Rutgers Univ. Press, 1990).

  108. Hirschfield, P. Policing the police: US and European models. J. Democr. 31, 166–181 (2020).

    Google Scholar 

  109. Jobard, F. & Lévy, R. Profiling Minorities: A Study Of Stop-And-Search Practices In Paris 82 (Open Justice Initiative, 2009).

  110. Epp, C. R., Maynard-Moody, S. & Haider-Markel, D. Pulled Over: How Police Stops Define Race And Citizenship (Univ. Chicago Press, 2014).

  111. Weitzer, R. & Brunson, R. Policing different racial groups in the United States. Cahiers Politiestudies 6, 129–145 (2015).

    Google Scholar 

  112. Verona, E. Assessment of HiTOP constructs across the population: a commentary on the HiTOP measure development project. Assessment 29, 88–92 (2022).

    PubMed  Google Scholar 

  113. Renaissance School of Medicine at Stony Brook University. How To Get Involved, https://renaissance.stonybrookmedicine.edu/HITOP/GetInvolved (accessed 1 June 2023).

  114. Kessler, R. C., Chiu, W. T., Demler, O. & Walters, E. E. Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication. Arch. Gen. Psychiat. 62, 617–627 (2005).

    PubMed  Google Scholar 

  115. Krueger, R. F. & Markon, K. E. Reinterpreting comorbidity: a model-based approach to understanding and classifying psychopathology. Annu. Rev. Clin. Psychol. 2, 111–133 (2006).

    PubMed  PubMed Central  Google Scholar 

  116. Krueger, R. F. Continuity of axes I and II: toward a unified model of personality, personality disorders, and clinical disorders. J. Personal. Disord. 19, 233–261 (2005).

    Google Scholar 

  117. Wright, A. G. C. & Simms, L. J. A metastructural model of mental disorders and pathological personality traits. Psychol. Med. 45, 2309–2319 (2015).

    PubMed  PubMed Central  Google Scholar 

  118. Krueger, R. F. & Eaton, N. R. Personality traits and the classification of mental disorders: toward a more complete integration in DSM-5 and an empirical model of psychopathology. Personal. Disord. Theory Res. Treat. 1, 97–118 (2010).

    Google Scholar 

  119. Zimmerman, M., Chelminski, I., Young, D., Dalrymple, K. & Martinez, J. Does the presence of one feature of borderline personality disorder have clinical significance? Implications for dimensional ratings of personality disorders. J. Clin. Psychiat. 73, 8–12 (2012).

    Google Scholar 

  120. Shankman, S. A. et al. Subthreshold conditions as precursors for full syndrome disorders: a 15‐year longitudinal study of multiple diagnostic classes. J. Child. Psychol. Psychiat. 50, 1485–1494 (2009).

    PubMed  Google Scholar 

  121. Sartorius, N. Disability and mental illness are different entities and should be assessed separately. World Psychiat. 8, 86–86 (2009).

    Google Scholar 

  122. Derbyshire, K. L. & Grant, J. E. Compulsive sexual behavior: a review of the literature. J. Behav. Addict. 4, 37–43 (2015).

    PubMed  PubMed Central  Google Scholar 

  123. Kalichman, S. C. et al. Sexual sensation seeking: scale development and predicting AIDS-risk behavior among homosexually active men. J. Pers. Assess. 62, 385–397 (1994).

    PubMed  Google Scholar 

  124. Kalichman, S. C. & Rompa, D. Sexual sensation seeking and sexual compulsivity scales: validity, and predicting HIV risk behavior. J. Pers. Assess. 65, 586–601 (1995).

    PubMed  Google Scholar 

  125. Coleman, E., Miner, M., Ohlerking, F. & Raymond, N. Compulsive sexual behavior inventory: a preliminary study of reliability and validity. J. Sex. Marital. Ther. 27, 325–332 (2001).

    PubMed  Google Scholar 

  126. Reid, R. C., Garos, S. & Carpenter, B. N. Reliability, validity, and psychometric development of the hypersexual behavior inventory in an outpatient sample of men. Sex. Addict. Compulsivity 18, 30–51 (2011).

    Google Scholar 

  127. Jennings, T. L., Gleason, N. & Kraus, S. W. Assessment of compulsive sexual behavior disorder among lesbian, gay, bisexual, transgender, and queer clients: commentary to the debate: “Behavioral addictions in the ICD-11”. J. Behav. Addict. 11, 216–221 (2022).

    PubMed  PubMed Central  Google Scholar 

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C.R.-S., C. Balling., C. Brandes., K.T.F., K.J.J., R.F.K., G.M. and K.S. researched data for the article. C.R.-S., J.J.L., C. Balling, C. Brandes, E.B., C.L.B., K.T.F., K.J.J., R.F.K., G.M. and N.R.E. wrote the article. All author contributed substantially to discussion of content and reviewed and/or edited the manuscript before submission.

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Correspondence to Craig Rodriguez-Seijas.

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All authors were members of the HiTOP Consortium or the HiTOP Trainee Network as well as the Diversity, Equity, and Inclusion Workgroup within the HiTOP consortium at the time of publication. C.R.-S., J.J.L., M.K.F., R.F.K., M.W. and N.R.E. were also members of the HiTOP Consortium Executive Chairs at the time of publication. The other authors declare no competing interests.

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Rodriguez-Seijas, C., Li, J.J., Balling, C. et al. Diversity and the Hierarchical Taxonomy of Psychopathology (HiTOP). Nat Rev Psychol 2, 483–495 (2023). https://doi.org/10.1038/s44159-023-00200-0

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