Emotion Processing and Its Relationship to Social Functioning and Symptoms in Psychotic Disorder: A Systematic Review and Meta-analysis.

Abstract

Background: Emotion processing (EP) is impaired in individuals with psychosis and associated with social functioning; however, it is unclear how symptoms fit into this relationship. The aim of this systematic review and meta-analysis was to examine interrelationships between EP, symptoms, and social functioning, test whether different symptom domains mediate the relationship between EP and social functioning, and examine the moderating effects of illness stage and EP task type.

Study design: MEDLINE, Embase, and PsycINFO databases were searched for studies that included individuals with psychosis and reported correlations between EP, symptom domains (positive, negative, depressive, and disorganization), and social functioning. Random effects meta-analyses determined the strength of correlations, and subgroup analyses included illness stage and EP task type (lower- vs higher-level processing). Meta-analytic structural equation models tested whether symptom domains mediated the relationship between EP and social functioning.

Results: There was a small relationship (r = .18) between EP and social functioning. Positive, negative, and disorganization symptoms mediated this relationship, although indirect effects were small. Higher-level EP tasks were more strongly associated with negative symptoms than lower-level tasks. Relationships between EP and both social functioning and positive symptoms were smaller in the first episode of psychosis than in established illness.

Conclusions: The mediating relationship suggests that EP not only influences social dysfunction directly but contributes to negative and disorganization symptoms, which in turn impair social functioning. This pathway suggests that targeting negative and disorganization symptoms may ultimately improve social outcomes for individuals with psychosis. Future research, particularly in early psychosis, is needed to determine other factors impacting these interrelationships.