Sleep Duration and All-Cause Mortality: A Systematic Review and Meta-Analysis of Prospective Studies

荟萃分析 睡眠(系统调用) 持续时间(音乐) 医学 系统回顾 前瞻性队列研究 梅德林 心理学 内科学 政治学 计算机科学 操作系统 文学类 艺术 法学
作者
Francesco P. Cappuccio,Lanfranco D’Elia,Pasquale Strazzullo,Michelle A. Miller
出处
期刊:Sleep [Oxford University Press]
卷期号:33 (5): 585-592 被引量:2175
标识
DOI:10.1093/sleep/33.5.585
摘要

BACKGROUND: Increasing evidence suggests an association between both short and long duration of habitual sleep with adverse health outcomes. OBJECTIVES: To assess whether the population longitudinal evidence supports the presence of a relationship between duration of sleep and all-cause mortality, to investigate both short and long sleep duration and to obtain an estimate of the risk. METHODS: We performed a systematic search of publications using MEDLINE (1966-2009), EMBASE (from 1980), the Cochrane Library, and manual searches without language restrictions. We included studies if they were prospective, had follow-up >3 years, had duration of sleep at baseline, and all-cause mortality prospectively. We extracted relative risks (RR) and 95% confidence intervals (CI) and pooled them using a random effect model. We carried out sensitivity analyses and assessed heterogeneity and publication bias. RESULTS: Overall, the 16 studies analyzed provided 27 independent cohort samples. They included 1,382,999 male and female participants (followup range 4 to 25 years), and 112,566 deaths. Sleep duration was assessed by questionnaire and outcome through death certification. In the pooled analysis, short duration of sleep was associated with a greater risk of death (RR: 1.12; 95% CI 1.06 to 1.18; P < 0.01) with no evidence of publication bias (P = 0.74) but heterogeneity between studies (P = 0.02). Long duration of sleep was also associated with a greater risk of death (1.30; [1.22 to 1.38]; P < 0.0001) with no evidence of publication bias (P = 0.18) but significant heterogeneity between studies (P < 0.0001). CONCLUSION: Both short and long duration of sleep are significant predictors of death in prospective population studies.
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