Details

Autor(en) / Beteiligte

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

Titel

A Hierarchical Taxonomy of Psychopathology Can Transform Mental Health Research

Ist Teil von

• Perspectives on psychological science, 2019-05, Vol.14 (3), p.419-436

Ort / Verlag

Los Angeles, CA: SAGE Publications

Erscheinungsjahr

2019

Quelle

Applied Social Sciences Index & Abstracts (ASSIA)

Beschreibungen/Notizen

• 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.