Identifying Modifiable Risk Factors for Relapse in Patients With Schizophrenia in China

Autor: Wei-Feng Mi, Xiao-Min Chen, Teng-Teng Fan, Serik Tabarak, Jing-Bo Xiao, Yong-Zhi Cao, Xiao-Yu Li, Yan-Ping Bao, Ying Han, Ling-Zhi Li, Ying Shi, Li-Hua Guo, Xiao-Zhi Wang, Yong-Qiao Liu, Zhan-Min Wang, Jing-Xu Chen, Feng-Chun Wu, Wen-Bin Ma, Hua-Fang Li, Wei-Dong Xiao, Fei-Hu Liu, Wen Xie, Hong-Yan Zhang, Lin Lu
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Frontiers in Psychiatry, Vol 11 (2020)
Druh dokumentu: article
ISSN: 1664-0640
DOI: 10.3389/fpsyt.2020.574763
Popis: BackgroundPreventing relapse of schizophrenic patients is really a challenge. The present study sought to provide more explicit evidence and factors of different grades and weights by a series of step-by-step analysis through χ2 test, logistic regression analysis and decision-tree model. The results of this study may contribute to controlling relapse of schizophrenic patients.MethodsA total of 1,487 schizophrenia patients were included who were 18–65 years of age and discharged from 10 hospitals in China from January 2009 to August 2009 and from September 2011 to February 2012 with improvements or recovery of treatment effect. We used a questionnaire to collect information about relapse and correlative factors during one year after discharge by medical record collection and telephone interview. The χ2 test and logistic regression analysis were used to identify risk factors and high-risk factors firstly, and then a decision-tree model was used to find predictive factors.ResultsThe χ2 test found nine risk factors which were associated with relapse. Logistic regression analysis also showed four high-risk factors further (medication adherence, occupational status, ability of daily living, payment method of medical costs). At last, a decision-tree model revealed four predictors of relapse; it showed that medication adherence was the first grade and the most powerful predictor of relapse (relapse rate for adherence vs. nonadherence: 22.9 vs. 55.7%, χ2 = 116.36, p < 0.001). The second grade factor was occupational status (employment vs. unemployment: 19.7 vs. 42.7%, χ2 = 17.72, p < 0.001); the third grade factors were ability of daily living (normal vs. difficult: 28.4 vs. 54.3%, χ2 = 8.61, p = 0.010) and household income (household income ≥ 3000 RMB vs.
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