| 四川省居民抑郁症状及其影响因素研究 |
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| 引用本文： | 余勇,谢悦,杨雪,汪敬轩,陈志余,杨帆,张子寒,杨春霞. 四川省居民抑郁症状及其影响因素研究[J]. 现代预防医学, 2020, 0(15): 2793-2796 |
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| 作者姓名： | 余勇 谢悦 杨雪 汪敬轩 陈志余 杨帆 张子寒 杨春霞 |
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| 作者单位： | 四川大学华西公共卫生学院/四川大学华西第四医院，流行病与卫生统计学系，四川 成都 610041 |
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| 摘 要： | 目的了解四川省居民抑郁症状的流行情况,并探讨其影响因素,为抑郁症状防治提供参考依据。方法利用2018年中国家庭追踪调查数据,纳入四川省16岁及以上居民1 727人,用多水平模型(家庭和个体两水平)分析抑郁症状的影响因素。结果四川省16岁及以上居民抑郁症状检出率为22.2%、多水平模型分析结果显示,居民抑郁症状具有家庭聚集性(VPC=0.175)。人均年收入低、家庭人口数少、患有慢性病、丧偶、记忆力差的居民抑郁症状的发生率较高(P<0.05),健康自评良好的居民发生抑郁症状的风险较低(OR=0.21,P<0.05),常锻炼的居民发生抑郁症状的风险较低(OR=0.65,P<0.05)。结论居民健康状况、生活方式、社会人口学特征和经济状况等多种因素均对居民抑郁情况有影响,应采取综合防治措施,改善居民精神状况,促进其心理健康。
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| 关 键 词： | 抑郁症状 多水平模型 影响因素 |
Depression symptoms and influencing factors of residents,Sichuan |
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| YU Yong,XIE Yue,YANG Xue,WANG Jing-xuan,CHEN Zhi-yu,YANG Fan,ZHANG Zi-han,YANG Chun-xia. Depression symptoms and influencing factors of residents,Sichuan[J]. Modern Preventive Medicine, 2020, 0(15): 2793-2796 |
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| Authors: | YU Yong XIE Yue YANG Xue WANG Jing-xuan CHEN Zhi-yu YANG Fan ZHANG Zi-han YANG Chun-xia |
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| Affiliation: | Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China |
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| Abstract: | To understand the prevalence of depressive symptoms among residents of Sichuan province，and to explore its influencing factors，which provides reference for the prevention and treatment of depressive symptoms. Methods 1727 residents aged 16 or above in Sichuan province were included according to the data of China Family Panel Studies in 2018，and the influencing factors of depressive symptoms were analyzed by the multilevel statistical model. Ｒesults The detection rate of depressive symptoms was 22. 2% among residents aged 16 and over in Sichuan province. The results of multilevel statistical model analysis showed that depressive symptoms had family clustering ( VPC = 0. 175 ) . Low annual income per capita，small family population，chronic diseases，widowhood，memory of poor residents had higher incidence of depressive symptoms ( P ＜ 0. 05) ，while healthy self － rated residents and regular exercise had lower risk of developing depressive symptoms ( OＲ = 0. 21，0. 65，both P ＜ 0. 05 ) . Conclusions The health status，lifestyle，sociodemographic characteristics and economic status of the residents have effect on the depression of the residents. Comprehensive prevention and control measures should be taken to improve the mental health of the residents and promote their mental health. |
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| Keywords: | Depressive symptoms Multilevel statistical model Influence factors |
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