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KMID : 1177320160190020047
Korean Journal of Schizophrenia Research
2016 Volume.19 No. 2 p.47 ~ p.59
Factors Predicting Personal and Social Performance in Schizophrenia Patients
Chi Su-Hyuk

Jeong Hyun-Ghang
Lee Moon-Soo
Kim Seung-Hyun
Abstract
Objectives: Schizophrenia is a chronic psychiatric disorder characterized by its debilitating course. It leads to personal and social dysfunctions, burdening patients and guardians heavily. Enhancing functional outcome is a major treatment goal, but pharmacotherapy alone is usually not enough. Hence, it is important to reveal clinical factors that can predict personal and social performance in schizophrenia patients. Analyze factors influencing personal and social performance in schizophrenia patients.

Methods: 66 schizophrenia patients from three University hospitals in Korea were enrolled, completing clinical scales between January 2008 and December 2009. 38 patients dropped out during follow up. 28 patients were included in the final study. Personal and social performance was measured using the Personal and Social Performance scale (PSP) since January 2015. Correlation and multiple regression analyses were performed to reveal associations between demographic and clinical factors and PSP.

Results: Correlation analyses resulted in statistically significant correlations between CGI-S (r=-0.646, p<0.01), PANSS (r=-0.419, p<0.05), KISP (r=-0.523, r<0.01), KmSWN (r=0.388, p<0.05), Trail making B (r=0.608, p<0.01), KDAI (r=0.608, p<0.01), and PSP. Stepwise multiple regression analyses showed significant models with CGI-S (¥â=-0.485, p<0.01), and KDAI (¥â=0.423, p<0.01).

Conclusion: Our results show that attitude toward drugs and symptom severity affect a patient¡¯s personal and social performance most prominently. We advise to focus on patient education to reinforce attitude toward drugs, and to concentrate on reducing symptom severity to enhance personal and social performance in schizophrenia patients.
KEYWORD
Schizophrenia, Personal and social functioning, Predicting factor
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