Complex interaction between symptoms, social factors, and gender in social functioning in a community-dwelling sample of XXXX .

@entity1 @entity497 @entity161
Social functioning (SF) is the ultimate target aimed in treatment plans in @entity161 , thus it is critical to know what are the factors that determine SF. Gender is a well-established variable influencing SF, yet it is not known how social variables and symptoms interact in @entity161 @entity1 . Furthermore, it remains unclear whether the interaction between social variables and symptoms is different in @entity1 compared to @entity1 . Our aim is to test whether social variables are better predictors of SF in community-dwelled individuals with @entity161 , and whether @entity1 and @entity1 differ in how symptoms and social variables interact to impact SF. @entity497 individuals with @entity161 (N = 231) were randomly selected from a register. @entity1 were assessed with symptom measures (PANSS), performance-based social scale (LSP), objective social and demographic variables. Stratification by gender and stepwise multivariate regression analyses by gender were used to find the best-fitting models that predict SF in both gender. @entity1 had poorer SF than @entity1 in spite of showing similar symptom scores. On stepwise regression analyses, gender was the main variable explaining SF, with a significant contribution by disorganized and excitatory symptoms. Age of onset made a less marked, yet significant, contribution to explain SF. When the sample was stratified by gender, disorganized symptoms and 'Income' variable entered the model and accounted for a 30.8% of the SF variance in @entity1 . On the other hand, positive and disorganized symptoms entered the model and accounted for a 36.1% of the SF variance in @entity1 . @entity497 @entity1 and @entity1 with @entity161 differ in the constellation of variables associated with SF. Symptom scores still account for most of the variance in SF in both genders.
