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A Hierarchical Taxonomy of Psychopathology Can Transform Mental Health Research

Conway, CC; Forbes, MK; Forbush, KT; Fried, EI; Hallquist, MN; Kotov, R; Mullins-Sweatt, SN; ... Eaton, NR; + view all (2019) A Hierarchical Taxonomy of Psychopathology Can Transform Mental Health Research. Perspectives on Psychological Science , 14 (3) 419 -436. 10.1177/1745691618810696. Green open access

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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.

Type: Article
Title: A Hierarchical Taxonomy of Psychopathology Can Transform Mental Health Research
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1177/1745691618810696
Publisher version: https://doi.org/10.1177%2F1745691618810696
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: DSM, HiTOP, Hierarchical Taxonomy of Psychopathology, ICD, RDoC, individual differences, mental illness, nosology, transdiagnostic
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science > Population Science and Experimental Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science > Population Science and Experimental Medicine > MRC Unit for Lifelong Hlth and Ageing
URI: https://discovery.ucl.ac.uk/id/eprint/10072950
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