Abstract:Objective The purpose of this study was to explore the application of ordinal logistic regression in the analysis of influencing factors of depression in migrant workers in construction industry. MethodsMigrant workers from ten construction sites in Shenyang, Liaoning selected by multi-stage cluster sampling were recruited in a questionnaire survey with Center for Epidemiologic Studies Depression Scale(CES-D) to investigate their depression situation. ResultsThe prevalence of depression symptoms in the migrant workers was 8.8% . Univariate analysis showed that the incidence of depression symptoms among migrant workers was significantly associated with marriage status, nationality, current disease, debt, aversion to city dwellers, discrimination experience, city fitness, housing conditions, nutrition status, sleep quality, life satisfaction and job satisfaction(P<0.05). Multivariate ordinal logistic regression indicated that the statistically significant variables included current disease, debt, aversion to city dwellers, discrimination experience, city fitness, housing conditions, nutrition status, sleep quality, life satisfaction and job satisfaction. Conclusions The current disease, debt and discrimination experience can increase the risk of depression symptoms in migrant workers in construction industry in Shenyang City, while sound sleep and good job satisfaction are protective factors.
张冰冰,刘嵘,刘皓,崔明,褚雷雷,李晓文,刘洋. 沈阳市建筑业农民工抑郁症状影响因素的多元有序Logistic回归分析[J]. 实用预防医学, 2015, 22(5): 523-526.
ZHANG Bing-bing, LIU Rong, LIU Hao, CUI Ming, ZHU Lei-lei, LI Xiao-wen, LIU Yang. Analysis on influencing factors of depressive symptoms in migrant workers in construction industry by multivariate ordinal logistic regression. , 2015, 22(5): 523-526.
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