Predictive Factors of Social Functioning in Patients with Schizophrenia: Exploration for the Best Combination of Variables Using Data Mining

被引：32
作者：
Bae, Sung-Man [1 ,2 ]
Lee, Seung-Hwan [1 ,2 ]
Park, Young-Min [1 ,2 ]
Hyun, Myung-Ho [3 ]
Yoon, Hiejin [4 ]
机构：
[1] Inje Univ, Coll Med, Ilsan Paik Hosp, Dept Neuropsychiat, Goyang 411706, South Korea
[2] Clin Emot & Cognit Res Lab, Goyang, South Korea
[3] Chung Ang Univ, Dept Psychol, Seoul 156756, South Korea
[4] Albert Einstein Coll Med, LIJ Med Ctr, Div Child & Adolescent Psychiat, New York, NY USA
来源：
PSYCHIATRY INVESTIGATION | 2010年 / 7卷 / 02期
关键词：
Social functioning; Schizophrenia; Data mining; Neurocognition; Social cognition; MIND; COGNITION; NEUROCOGNITION; PERCEPTION; SYMPTOMATOLOGY; SYMPTOMS; DEFICITS; EMOTION; SCALE;
D O I：
10.4306/pi.2010.7.2.93
中图分类号：
R749 [精神病学];
学科分类号：
100205 ;
摘要：
Objective This study aimed to use data mining to explore the significantly contributing variables to good social functioning in schizophrenia patients. Methods The study cohort comprised 67 schizophrenia patients on stable medication. A total of 51 variables (6 demographic data 3 illness history, 22 social cognition, 16 neurocognition, 4 psychiatric symptoms) were input into a data-mining decision tree using the Answer Tree program to find the pathway for the best social functioning. Results Several contributing factors for good social functioning were found. Continuous attention was the strongest contributing factor. Three variables involving best social functioning included good continuous attention, good theory of mind (TOM), and low sensitivity of disgust: emotion. Conclusion Our results confirmed the mediating roles of social cognition between neurocognition and functional outcomes, and suggested that social cognition can significantly predict social functioning in schizophrenia patients: Psychiatry Investig 2010;7:93-101
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收藏
页码：93 / 101
页数：9
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