Latent classes of maladaptive personality traits exhibit differences in social processing

Area of Science:

• Psychiatry
• Psychology
• Cognitive Science

Background:

• Social processing (SP) deficits are common in mental disorders but research is fragmented.
• Existing studies often examine SP skills in isolation, hindering a systems-level understanding.
• Dimensional frameworks of psychopathology can address research heterogeneity.

Purpose of the Study:

• To integrate two dimensional frameworks of psychopathology to study social processing.
• To identify distinct subgroups based on personality traits and their associated social processing profiles.
• To overcome limitations of previous research on social processing deficits.

Main Methods:

• Utilized the Alternative Model for Personality Disorders (AMPD) and Research Domain Criteria (RDoC) 'Systems for Social Processes'.
• Applied latent class analyses (LCA) to a community sample (n=200) to derive AMPD-based groups.
• Developed and administered a social processing test battery aligned with RDoC constructs to assess group performance.

Main Results:

• Latent class analyses identified four clinically meaningful subgroups with distinct trait profiles.
• Subgroups exhibited varied social processing deficits: self-related, understanding others, severe deficits including affiliation, and normal performance.
• Demonstrated significant differences in social processing performance across the identified subgroups.

Conclusions:

• Results support a connection between clusters of maladaptive personality traits and specific social processing deficits.
• Findings may guide future research on mental disorders characterized by social processing dysfunctions.
• Highlights the utility of integrated dimensional frameworks for understanding psychopathology and social cognition.