Exploring Social Cognition Sub-Domains and Predictors in Multiple Sclerosis: A Cross-Sectional Study

探索多发性硬化症患者的社会认知子领域及其预测因素:一项横断面研究

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Abstract

BACKGROUND AND PURPOSE: Social cognition (SC) is increasingly recognized as a key cognitive domain affected in multiple sclerosis (MS), yet its sub-domains and clinical correlates remain underexplored. This study aimed to assess different SC sub-domains and identify their cognitive, emotional, and demographic predictors in people with MS (pwMS). METHODS: This cross-sectional study included 93 pwMS and 34 HCs. Assessments included the Reading the Mind in the Eyes Test (RMET) for emotion recognition, the Trail Making Test (TMT) for executive function, the Tromso Social Intelligence Scale (TSIS) for nonverbal understanding, the Implied Meaning Test (IMT) for implicit understanding, the Social-Emotional Competence Scale for adaptability, the Barratt Impulsiveness Scale for impulsivity, the Stroop Test for inhibition, the Beck Depression Inventory (BDI) for depression, the Montreal Cognitive Assessment (MoCA) for cognition, and the Short Form-12 (SF-12) for quality of life (QoL). Multiple regression analyses were conducted to identify independent predictors of SC performance. RESULTS: PwMS, particularly those with progressive MS, exhibited significantly lower SC performance across all sub-domains compared to HCs. Regression analyses revealed that lower MoCA scores, higher BDI scores, and lower educational attainment were significant predictors of impaired SC, while disease duration and gender were not. Notably, SC deficits were also observed in cognitively preserved individuals, suggesting the relative independence of SC impairments. CONCLUSION: SC impairment is a distinct and clinically relevant feature of MS, associated with both cognitive and emotional factors. Routine SC screening may enhance patient care by informing personalized interventions. Future research should include larger cohorts, longitudinal designs, and practical SC assessment tools for clinical use.

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