Chen Rao, Ma Tian-Pei, He Qiao-Yu, Xue Li, Zhang Wen-Jie, Li Ning-Xiu
Department of Health Related Social and Behavioral Science, West China School of Public Health, Sichuan University, Chengdu 610041, China.
Sichuan Da Xue Xue Bao Yi Xue Ban. 2019 Mar;50(2):229-233.
To determine the prevalence and determinants of depressive symptoms in middle and old-aged rural-to-urban immigrants in Chengdu.
A total of 1 645 middle and old-aged rural-to-urban immigrants aged over 45 yr. were selected to participate in a questionnaire survey through a multi-stage random sampling method in Chengdu. Multilevel (households and individuals) models were established to identify predictors of depressive symptoms.
About 14.5% of respondents reported depressive symptoms. The multilevel model indicated that family clustering of depressive symptoms existed. Household income and length of urban life at the household level, and age, chronic diseases, smoking, and social support at the individual level were significant predictors of depressive symptoms.
The prevalence of depressive symptoms in middle and old-aged rural-to-urban immigrants deserves increasing policy attention for the purpose of promoting mental health in the population.
确定成都中老年农村进城务工人员抑郁症状的患病率及其影响因素。
通过多阶段随机抽样方法，选取成都市1645名年龄在45岁以上的中老年农村进城务工人员参与问卷调查。建立多层次（家庭和个人）模型以识别抑郁症状的预测因素。
约14.5%的受访者报告有抑郁症状。多层次模型表明抑郁症状存在家庭聚集性。家庭层面的家庭收入和城市生活时长，以及个人层面的年龄、慢性病、吸烟和社会支持是抑郁症状的重要预测因素。
中老年农村进城务工人员抑郁症状的患病率值得政策上更多关注，以促进该人群的心理健康。
