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陈饶, 马天佩, 贺巧渝, 等.基于多水平模型分析成都市中老年农转非居民抑郁症状及影响因素.四川大学学报(医学版),2019,50(2):229-233
基于多水平模型分析成都市中老年农转非居民抑郁症状及影响因素
Multilevel Modelling on the Prevalence and Determinants of Depressive Symptoms in Middle and Old-aged Rural-to-urban Immigrants in Chengdu
  
中文关键词:  抑郁中老年农转非CES-D
英文关键词:DepressionMiddle and old-agedRrural-to-urban migrationCES-D
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中文摘要:
      目的了解成都市中老年农转非居民抑郁症状流行水平及影响因素。方法采用多阶段分层整群抽样选取本市1 645名45岁及以上中老年农转非居民进行问卷调查。采用单因素分析比较不同特征的中老年农转非居民抑郁症状;采用多水平模型分析(家庭和个体)分析其抑郁症状的影响因素。 结果成都市中老年农转非居民抑郁症状检出率为14.5%。采用卡方检验进行单因素分析,结果显示,不同性别、年龄、婚姻状况、慢性病患病情况、吸烟、饮酒、社会支持、家庭平均月收入、移居年限之间,其抑郁症状有所不同,差异具有统计学意义 (P<0.05)。多水平模型结果显示,中老年农转非居民抑郁症状在家庭水平存在聚集性。家庭水平的经济条件和移居年限,个体水平的年龄、慢性病、吸烟、社会支持是影响其抑郁症状的主要因素。结论中老年农转非居民抑郁状况不容乐观,应积极采取针对性预防与干预措施,促进其心理健康发展。
英文摘要:
      ObjectiveTo determine the prevalence and determinants of depressive symptoms in middle and old-aged rural-to-urban immigrants in Chengdu. MethodsA 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. ResultsAbout 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. ConclusionThe 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.
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