内蒙古自治区抑郁症相关因素的多水平模型分析

Multi-level model analysis of related factors of major depressive disorder in Inner Mongolia Autonomous Region

目的:了解内蒙古自治区抑郁症流行现状及相关因素。方法:采用分层多阶段不等概率抽样方法抽取内蒙古自治区18岁及以上常住居民进行面对面调查,使用复合型国际诊断交谈表3.0作为诊断工具,根据精神障碍诊断与统计手册第4版(DSM-IV)和国际疾病分类第十版(ICD-10)精神与行为障碍分类两套诊断标准做出抑郁症的诊断。结果:12315名调查对象完成访谈,抑郁症12月加权患病率为3.1%;拟合两水平零模型,组内相关系数为0.10,终模型结果显示,女性(OR=1.46,95%CI:1.03~2.08),未婚(OR=2.76,95%CI:1.35~5.67),分居或离婚(OR=2.98,95%CI:1.40~6.36),不工作(OR=2.50,95%CI:1.52~4.11),低收入户(OR=1.88,95%CI:1.21~2.91),几乎每天饮酒(OR=1.95,95%CI:1.03~3.69),慢性病(OR=4.47,95%CI:3.03~6.57)是抑郁症的危险因素,65岁及以上(OR=0.39,95%CI:0.20~0.75)、初中(OR=0.47,95%CI:0.29~0.75)、高中或中专(OR=0.43,95%CI0.26~0.72)是抑郁症的保护因素。结论:本研究显示女性、未婚、婚姻状况不稳定、无工作、收入水平低、每天饮酒和患慢性病的居民更易患抑郁症。

Objective:To investigate the major depressive disorder(MDD) and its related factors in Inner Mongolia Autonomous Region.Methods:The multistage stratified sampling method with unequal probability was used to select permanent residents aged 18 years and above for face-to-face interview.The Composite International Diagnostic Interview 3.0 was used as a diagnostic tool.The diagnosis of MDD was based on the Diagnostic and Statistical Manual of Mental Disorders Fourth Edition(DSM-IV) and the Tenth Revision of the International Classification of Diseases(ICD-10).Results:Totally 12 315 individuals were interviewed.Weighted 12-month prevalence of MDD was 3.1%.By fitting a two-level empty model analysis, the intra-class correlation coefficient was 0.10.Final model results showed that female(OR=1.46,95%CI:1.03-2.08),unmarried(OR=2.76,95% CI:1.35-5.67),separated and divorced(OR=2.98,95%CI:1.40-6.36),unemployed(OR=2.50,95% CI:1.52-4.11),low-income level(OR=1.88,95% CI:1.21-2.91),daily drinking(OR=1.95,95% CI:1.03-3.69) and chronic disease(OR=4.47,95% CI:3.03-6.57) were the risk factors of MDD.Aged 65 and over(OR=0.39,95% CI:0.20-0.75),junior high school(OR=0.47,95% CI:0.29-0.75) and high school or secondary specialized school(OR=0.43,95% CI:0.26-0.72) were the protective factors of MDD.Conclusion:It indicates that female residents and those who are unemployed, with unstable marital status, low-income level, daily drinking and chronic disease are more likely to suffer from major depressive disorder.