Examining the role of personality functioning in a hierarchical taxonomy of psychopathology using two years of ambulatory assessed data.


Journal

Translational psychiatry
ISSN: 2158-3188
Titre abrégé: Transl Psychiatry
Pays: United States
ID NLM: 101562664

Informations de publication

Date de publication:
24 Aug 2024
Historique:
received: 11 01 2024
accepted: 31 07 2024
revised: 26 07 2024
medline: 26 8 2024
pubmed: 26 8 2024
entrez: 24 8 2024
Statut: epublish

Résumé

The Hierarchical Taxonomy of Psychopathology (HiTOP) arranges phenotypes of mental disorders based on empirical covariation, ranging from narrowly defined symptoms to higher-order spectra of psychopathology. Since the introduction of personality functioning (PF) in DSM-5 and ICD-11, several studies have identified PF as a predictor of transdiagnostic aspects of psychopathology. However, the role of PF in the HiTOP classification system has not been systematically examined. This study investigates how PF can be integrated into HiTOP, whether PF accounts for transdiagnostic variance captured in higher-order spectra, and how its predictive value for future affective well-being (AWB) and psychosocial impairment (PSI) compares to the predictive value of specific psychopathology beyond PF. To this end, we examined two years of ambulatory assessed data on psychopathology, PF, PSI, and AWB of N = 27,173 users of a mental health app. Results of bass-ackwards analyses largely aligned with the current HiTOP working model. Using bifactor modeling, aspects of PF were identified to capture most of the internalizing, thought disorder, and externalizing higher-order factor variance. In longitudinal prediction analyses employing bifactor-(S-1) modeling, PF explained 58.6% and 30.6% of variance in PSI and AWB when assessed across one year, respectively, and 33.1% and 23.2% of variance when assessed across two years. Results indicate that personality functioning may largely account for transdiagnostic variance captured in the higher-order components in HiTOP as well as longitudinal outcomes of PSI and AWB. Clinicians and their patients may benefit from assessing PF aspects such as identity problems or internal relationship models in a broad range of mental disorders. Further, incorporating measures of PF may advance research in biological psychiatry by providing empirically sound phenotypes.

Identifiants

pubmed: 39181872
doi: 10.1038/s41398-024-03046-z
pii: 10.1038/s41398-024-03046-z
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

340

Informations de copyright

© 2024. The Author(s).

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Auteurs

André Kerber (A)

Division of Clinical-Psychological Intervention, Freie Universität Berlin, Berlin, Germany. andre.kerber@fu-berlin.de.

Johannes C Ehrenthal (JC)

Department of Psychology, University of Cologne, Cologne, Germany.

Johannes Zimmermann (J)

Department of Psychology, University of Kassel, Kassel, Germany.

Carina Remmers (C)

Department of Psychology, Institute for Mental Health and Behavioral Medicine, HMU Health and Medical University, Potsdam, Germany.

Tobias Nolte (T)

Research Department of Clinical, Educational and Health Psychology, UCL, and Anna Freud, London, UK.

Leon P Wendt (LP)

Department of Psychology, University of Kassel, Kassel, Germany.

Phileas Heim (P)

Division of Clinical-Psychological Intervention, Freie Universität Berlin, Berlin, Germany.

Sascha Müller (S)

Department of Psychosomatics and Psychotherapy, University Medical Center Rostock, Rostock, Germany.

Ina Beintner (I)

MindDoc Health GmbH, Munich, Germany.

Christine Knaevelsrud (C)

Division of Clinical-Psychological Intervention, Freie Universität Berlin, Berlin, Germany.

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