A meta-analysis of social cognitive deficits in schizophrenia: Does world region matter?

Schizophr Res

Department of Psychology and Program in Neuroscience and Behavior, Wesleyan University, Judd Hall, 207 High Street, Middletown, CT 06459, United States. Electronic address:

Published: May 2022

Individuals with schizophrenia (SCZs) demonstrate social cognitive (SC) deficits across a variety of social cognitive tasks: affect recognition, social perception, Theory-of-Mind (ToM), and attributional style. These tasks all use socially-relevant words, social scenarios, clothing, faces and voices that may make their application to different cultural contexts problematic. However a paucity of research has investigated the cross-cultural validity of SC measures. We meta-analyzed the literature investigating differences in social cognitive skills SCZs and matched healthy controls (NCs) across different regions of the world using a group of expert-selected, standardized measures of social cognition. Studies of SC in SCZ using these measures published between January 1980 and August 2020 were evaluated. Data were extracted independently by 3 reviewers with excellent reliability; 156 unique studies of 10,235 SCZs and 9924 NCs across 34 countries were identified. Random effects models revealed SCZs demonstrated poorer performance in all domains of SC including emotion processing (g = -0.770), social perception (g = -0.880), ToM (g = -1.090), attributional style (hostility: g = -0.715, aggression: g = -0.209, blame: g = -0.322), as well as a measure of emotion regulation (g = -0.867). Hostile attributional style was more pronounced in European and North American samples (g = 1.054 and g = -0.605, respectively) compared to Asian samples (g = -0.284). Our results revealed that SCZs performed mildly-severely worse than HCs in all domains of SC. With the exception of hostile attributional style, the magnitude of deficits in social cognition was consistent across the globe.

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http://dx.doi.org/10.1016/j.schres.2022.04.002DOI Listing

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