Predicting domain-specific insight of schizophrenia patients from symptomatology, multiple neurocognitive functions, and personality related traits.

This study examines the contribution of various neurocognitive functions, clinical characteristics, and personality traits to the prediction of three insight dimensions. Clinically stable schizophrenia patients (n=107) residing in the community were evaluated using the Positive and Negative Syndrome Scale, the Scale for the Assessment of Unawareness of Mental Disorder, and a comprehensive battery of instruments to measure personality related variables and neurocognitive functioning. Step-wise multivariate regression analysis indicates significant association of variability in insight dimensions with neurocognitive functioning (20-41%), personality related traits (8-18% temperament factors, 4-7% self-constructs, 10-14% coping styles), severity of symptoms (about 7%), illness duration (6%), and education (about 5%). Poor insight was attributed to impairment in visual and movement skills, sustained attention, executive functions, intensity of autistic preoccupations and positive symptoms, as well as increased novelty seeking behavior, task and emotion oriented coping styles, better self-esteem, self-efficacy, and higher education. Better awareness was related to better performance of neurocognitive tasks, reward dependence behavior, avoidant coping style, and longer illness duration. Aside from common indicators for the various insight dimensions, we defined specific indicators for each insight dimension. Thus, insight dimensions in schizophrenia patients residing in the community were attributed to neurocognitive and personality related factors rather than to psychopathological symptoms. The findings enable better understanding of the multifactorial nature of insight and highlight targets for more effective intervention and rehabilitation.