Hostile attribution bias in schizophrenia-spectrum disorders: narrative review of the literature and persisting questions.


Journal

Journal of mental health (Abingdon, England)
ISSN: 1360-0567
Titre abrégé: J Ment Health
Pays: England
ID NLM: 9212352

Informations de publication

Date de publication:
Feb 2023
Historique:
pubmed: 2 4 2020
medline: 16 3 2023
entrez: 2 4 2020
Statut: ppublish

Résumé

Social cognition is often aberrant or impaired in psychotic disorders and related to functional outcomes. In particular, one core social cognitive bias - hostile attribution bias - is proposed to be implicated in paranoia, anxiety, mood disturbances and interpersonal conflict outcomes. However, questions remain about this domain's specificity to psychosis and its relationship to general functional outcomes. The present paper offers a descriptive and critical review of the literature on hostile attribution bias in psychotic disorders, in order to examine (1) its impact on persecutory symptoms in schizophrenia-spectrum disorders, (2) impact on other related psychopathology among those experiencing psychosis and (3) relationship to functioning. Twenty-eight studies included in this review after parallel literature searches of PsycINFO and PubMed. Evidence from these studies highlighted that hostile attribution bias is elevated in schizophrenia, and that it is related to anxiety, depression and interpersonal conflict outcomes. While results suggest that hostile attributions are elevated in schizophrenia and associated with symptoms and functioning, there exist numerous persisting questions in the study of this area, including identifying which measures are most effective and determining how it presents: as a state or trait-like characteristic, via dual processes, and its situational variation.

Sections du résumé

BACKGROUND UNASSIGNED
Social cognition is often aberrant or impaired in psychotic disorders and related to functional outcomes. In particular, one core social cognitive bias - hostile attribution bias - is proposed to be implicated in paranoia, anxiety, mood disturbances and interpersonal conflict outcomes. However, questions remain about this domain's specificity to psychosis and its relationship to general functional outcomes.
AIMS UNASSIGNED
The present paper offers a descriptive and critical review of the literature on hostile attribution bias in psychotic disorders, in order to examine (1) its impact on persecutory symptoms in schizophrenia-spectrum disorders, (2) impact on other related psychopathology among those experiencing psychosis and (3) relationship to functioning.
METHODS UNASSIGNED
Twenty-eight studies included in this review after parallel literature searches of PsycINFO and PubMed.
RESULTS UNASSIGNED
Evidence from these studies highlighted that hostile attribution bias is elevated in schizophrenia, and that it is related to anxiety, depression and interpersonal conflict outcomes.
CONCLUSION UNASSIGNED
While results suggest that hostile attributions are elevated in schizophrenia and associated with symptoms and functioning, there exist numerous persisting questions in the study of this area, including identifying which measures are most effective and determining how it presents: as a state or trait-like characteristic, via dual processes, and its situational variation.

Identifiants

pubmed: 32228272
doi: 10.1080/09638237.2020.1739240
doi:

Types de publication

Review Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

132-149

Auteurs

Benjamin Buck (B)

Behavioral Research in Technology and Engineering (BRiTE) Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.

Julia Browne (J)

Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.

Emily C Gagen (EC)

Research Service, Providence VA Medical Center, Providence, RI, USA.

David L Penn (DL)

Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, VIC, Australia.

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Classifications MeSH