4.4 Article

Latent classes of maladaptive personality traits exhibit differences in social processing

期刊

JOURNAL OF PERSONALITY
卷 90, 期 4, 页码 615-630

出版社

WILEY
DOI: 10.1111/jopy.12686

关键词

dimensional; personality; social cognition; social processing; transdiagnostic

资金

  1. Monash Warwick Accelerator Grant

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This study systematically evaluated social processing deficits using the Alternative Model for Personality Disorders and the Research Domain Criteria. The results showed a link between clusters of maladaptive personality traits and distinctive profiles of social processing deficits, providing insights for research on disorders involving social processing dysfunctions.
Objective Social processing (SP) deficits manifest across numerous mental disorders. However, this research has been plagued by heterogeneity and a piecemeal approach whereby skills are examined in isolation rather than as part of an integrated cognitive system. Here, we combined two dimensional frameworks of psychopathology to address these limitations. Method We utilized the Alternative Model for Personality Disorders (AMPD) to distill trait-related heterogeneity within a community sample (n = 200), and the Research Domain Criteria (RDoC) 'Systems for Social Processes' to comprehensively assess SP. We first applied latent class analyses (LCA) to derive AMPD-based groups and subsequently contrasted the performance of these groups on a SP test battery that we developed to align with the RDoC SP constructs. Results Our LCA yielded four distinct subgroups. The recognizable trait profiles and psychopathological symptoms of these classes suggested they were clinically meaningful. The subgroups differed in their SP profiles: one displayed deficits regarding the self, a second displayed deficits in understanding others, a third displayed more severe deficits including affiliation problems, whilst the fourth showed normal performance. Conclusions Our results support the link between clusters of maladaptive personality traits and distinctive profiles of SP deficits, which may inform research on disorders involving SP dysfunctions.

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