Clinical Psychopharmacology and Neuroscience Papers in Press available online.

Evaluation of the relationship between disability and disease severity, cognitive functions, and insight in patients with schizophrenia
Hatice Ayça Kaloğlu 1,*, Şerif Bora Nazlı 1
Ankara Etlik City Hospital
Objective: This study aims to examine the clinical characteristics, cognitive functions, and levels of insight of the patients, which are thought to be related to disability in schizophrenia patients, and to determine which variable will guide to predict the disability.
Method: Participants were 102 individuals with schizophrenia aged 18–60. All participants completed the social functioning scale and the Beck cognitive insight scale. To determine the severity of disability, world health organization disability assessment schedule 2.0 (WHODAS 2.0) scale was conducted. Positive and negative syndrome scale (PANSS), Calgary depression scale for schizophrenia, trail making tests and Stroop test were performed.
Results: The regression analysis indicated that high income, increased education level, and fewer hospitalization variables had significant negative effects (p<0.05) on the WHODAS overall score, explaining 20.8% of the variance. The duration of trail-making test form A, PANNS total score, and Stroop 3 duration variables had significant positive effects (p<0.05) on the WHODAS score, explaining 49.3% of the total variance. Increased levels of education, higher income, and higher cognitive insight were found to be associated with less disability. Increased severity of disease and some deterioration in the mental field were found to be related to high disability.
Discussion: In this research, the predictors of disability in individuals with schizophrenia, level of education, and income are among the predictors of disability, and disease severity seems to be more related to the impairment of cognitive functions. Interventions and treatments that support the psychosocial functionality should be planned rather than symptom-oriented treatment approaches.
Accepted Manuscript [Submitted on 2023-08-13, Accepted on 2023-12-27]