中国中老年人午睡时长与抑郁症状的关联——基于CHARLS数据分析  被引量:9

Relationship between nap duration and depressive symptoms among middle-aged and elderly Chinese——based on CHARLS data analysis

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作  者:石萌 邹宇量[1] SHI Meng;ZOU Yu-liang(School of Public Health Wuhan University,Wuhan,Hubei 430000,China)

机构地区:[1]武汉大学公共卫生学院,武汉大学公共卫生学院健康管理研究中心,湖北武汉430000

出  处:《现代预防医学》2023年第8期1461-1467,共7页Modern Preventive Medicine

摘  要:目的探究午睡时长与中老年人抑郁症状发生的关联。方法将2011年中国健康与养老追踪调查(China Health and Retirement Longitudinal Study,CHARLS)调查的45岁及以上的中老年人信息作为基线数据,随访该队列至2018年,采用COX比例风险模型分析不同午睡时长与中老年人抑郁症状发生的关联。结果该队列随访期间抑郁症状的发生率为6.94%。COX比例风险模型结果表明,午睡≥90 min/d与抑郁症状发生高风险相关(HR=1.14;95%CI:1.02~1.29);亚组分析结果显示,男性午睡时长≥90 min/d(HR=1.30;95%CI:1.11~1.53)、45~64岁组午睡时长在60~89 min/d(HR=1.14;95%CI:1.01~1.29)及≥90 min/d(HR=1.17;95%CI:1.02~1.34)与抑郁症状发生高风险相关。结论午睡时长与中老年人抑郁症状发生相关联,特别是在男性及中年人群体中。Objective To analyze the association between nap duration and the occurrence of depressive symptoms in middle-aged and older adults.Methods Information on middle-aged and older adults aged 45 years and older from the 2011 China Health and Retirement Longitudinal Study(CHARLS)survey was used as baseline,and this cohort was followed until 2018 to analyze the association between different nap duration and the occurrence of depressive symptoms in middle-aged and older adults using the COX proportional risk model.Results The prevalence of depressive symptoms during follow-up in this cohort was 6.94%.The COX proportional risk model results indicated that napping duration≥90 min/d was associated with a high risk of depressive symptoms(HR=1.14;95%CI:1.02-1.29),subgroup analysis showed that napping duration≥90 min/d(HR=1.30;95%CI:1.11-1.53)in men,napping duration of 60-89 min/d(HR=1.14;95%CI:1.01-1.29)and≥90 min/d(HR=1.17;95%CI:1.02-1.34)in the 45-64 years old group were associated with a high risk of depressive symptoms.Conclusion Nap duration is associated with the occurrence of depressive symptoms in middle-aged and older adults,especially in men and in middle-aged groups.

关 键 词:午睡时长 抑郁症状 中老年人 

分 类 号:R181.3[医药卫生—流行病学]

 

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