Profiling Hoarding Within the Five-Factor Model of Personality and Self-Determination Theory.


Journal

Behavior therapy
ISSN: 1878-1888
Titre abrégé: Behav Ther
Pays: England
ID NLM: 1251640

Informations de publication

Date de publication:
05 2022
Historique:
received: 03 03 2021
revised: 19 12 2021
accepted: 19 12 2021
entrez: 27 4 2022
pubmed: 28 4 2022
medline: 29 4 2022
Statut: ppublish

Résumé

This study investigated the dispositional profile associated with hoarding symptoms by applying a personality and motivational trait perspective. A community sample oversampling high hoarding symptoms (N = 649, ages 18-74 years) completed an online questionnaire assessing hoarding, the five-factor model of personality, and general causality orientations drawn from self-determination theory. Personality aspects (10 traits), a level of measurement intermediate to factors (5 traits) and facets (30 traits), were assessed to provide greater specificity than a factor-level approach. Hoarding was correlated with neuroticism and conscientiousness. Aspects predicting hoarding were industriousness (C), orderliness (C), withdrawal (N), and assertiveness (E). Hoarding was significantly related to impersonal and control orientations, albeit with only slight (1.4%) incremental validity for general causality orientations above personality aspects in predicting hoarding. These findings may not generalize to a clinical treatment sample, and possible configurative interactions between traits were not assessed. This study extended the existing literature by reporting aspect-level personality and general causality orientation correlates of hoarding. These data may inform preventative monitoring and intervention programs, as well as predicting meaningful personality characteristics of hoarding clients.

Identifiants

pubmed: 35473656
pii: S0005-7894(21)00150-7
doi: 10.1016/j.beth.2021.12.004
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

546-559

Informations de copyright

Copyright © 2022. Published by Elsevier Ltd.

Auteurs

Jolene Chan (J)

RMIT University.

Christopher Powell (C)

RMIT University.

James Collett (J)

RMIT University. Electronic address: james.collett@rmit.edu.au.

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Classifications MeSH