A Hierarchical Taxonomy of Psychopathology can transform mental health research


Journal article


Christopher C. Conway, Miriam K. Forbes, Kelsie T. Forbush, Eiko I. Fried, Michael N. Hallquist, Roman Kotov, Stephanie N. Mullins-Sweatt, Alexander J. Shackman, Andrew E. Skodol, Susan C. South, Matthew Sunderland, Monika A. Waszczuk, David H. Zald, Mohammad H. Afzali, Marina A. Bornovalova, Natacha Carragher, Anna R. Docherty, Katherine G. Jonas, Robert F. Krueger, Praveetha Patalay, Aaron L. Pincus, Jennifer L. Tackett, Ulrich Reininghaus, Ulrich Reininghaus, Irwin D. Waldman, Aidan G. C. Wright, Johannes Zimmermann, Bo Bach, R. Michael Bagby, Michael Chmielewski, David C. Cicero, Lee Anna Clark, Tim Dalgleish, Colin G. DeYoung, Christopher J. Hopwood, Masha Y. Ivanova, Robert D. Latzman, Christopher J. Patrick, Camilo J. Ruggero, Douglas B. Samuel, David Watson, Nicholas R. Eaton
Perspectives on Psychological Science, vol. 14(3), 2019 Feb 7, pp. 419-436


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APA   Click to copy
Conway, C. C., Forbes, M. K., Forbush, K. T., Fried, E. I., Hallquist, M. N., Kotov, R., … Eaton, N. R. (2019). A Hierarchical Taxonomy of Psychopathology can transform mental health research. Perspectives on Psychological Science, 14(3), 419–436. https://doi.org/10.1177/1745691618810696


Chicago/Turabian   Click to copy
Conway, Christopher C., Miriam K. Forbes, Kelsie T. Forbush, Eiko I. Fried, Michael N. Hallquist, Roman Kotov, Stephanie N. Mullins-Sweatt, et al. “A Hierarchical Taxonomy of Psychopathology Can Transform Mental Health Research.” Perspectives on Psychological Science 14, no. 3 (February 7, 2019): 419–436.


MLA   Click to copy
Conway, Christopher C., et al. “A Hierarchical Taxonomy of Psychopathology Can Transform Mental Health Research.” Perspectives on Psychological Science, vol. 14, no. 3, Feb. 2019, pp. 419–36, doi:10.1177/1745691618810696.


BibTeX   Click to copy

@article{christopher2019a,
  title = {A Hierarchical Taxonomy of Psychopathology can transform mental health research},
  year = {2019},
  month = feb,
  day = {7},
  issue = {3},
  journal = {Perspectives on Psychological Science},
  pages = {419-436},
  volume = {14},
  doi = {10.1177/1745691618810696},
  author = {Conway, Christopher C. and Forbes, Miriam K. and Forbush, Kelsie T. and Fried, Eiko I. and Hallquist, Michael N. and Kotov, Roman and Mullins-Sweatt, Stephanie N. and Shackman, Alexander J. and Skodol, Andrew E. and South, Susan C. and Sunderland, Matthew and Waszczuk, Monika A. and Zald, David H. and Afzali, Mohammad H. and Bornovalova, Marina A. and Carragher, Natacha and Docherty, Anna R. and Jonas, Katherine G. and Krueger, Robert F. and Patalay, Praveetha and Pincus, Aaron L. and Tackett, Jennifer L. and Reininghaus, Ulrich and Reininghaus, Ulrich and Waldman, Irwin D. and Wright, Aidan G. C. and Zimmermann, Johannes and Bach, Bo and Bagby, R. Michael and Chmielewski, Michael and Cicero, David C. and Clark, Lee Anna and Dalgleish, Tim and DeYoung, Colin G. and Hopwood, Christopher J. and Ivanova, Masha Y. and Latzman, Robert D. and Patrick, Christopher J. and Ruggero, Camilo J. and Samuel, Douglas B. and Watson, David and Eaton, Nicholas R.},
  month_numeric = {2}
}

Abstract

For more than a century, research on psychopathology has focused on categorical diagnoses. Although this work has produced major discoveries, growing evidence points to the superiority of a dimensional approach to the science of mental illness. Here we outline one such dimensional system-the Hierarchical Taxonomy of Psychopathology (HiTOP)-that is based on empirical patterns of co-occurrence among psychological symptoms. We highlight key ways in which this framework can advance mental-health research, and we provide some heuristics for using HiTOP to test theories of psychopathology. We then review emerging evidence that supports the value of a hierarchical, dimensional model of mental illness across diverse research areas in psychological science. These new data suggest that the HiTOP system has the potential to accelerate and improve research on mental-health problems as well as efforts to more effectively assess, prevent, and treat mental illness.


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