He Mengyang, Deng Xiangling, Zhu Yuqing, Huan Luyao, Niu Wenquan
Graduate School, Beijing University of Chinese Medicine, Beijing, China.
International Medical Department, China-Japan Friendship Hospital, Beijing, China.
BMC Public Health. 2020 Jul 28;20(1):1179. doi: 10.1186/s12889-020-09275-3.
Short or long sleep duration is proposed as a potential risk factor for all-cause mortality in the older people, yet the results of published studies are not often reproducible.
Literature retrieval, study selection and data extraction were completed independently and in duplicate. Only prospective cohort studies were included. Effect-size estimates are expressed as hazard ratio (HR) and 95% confidence interval (CI).
Summary data from 28 articles, involving a total of 95,259 older people, were meta-analyzed. Overall analyses revealed a remarkably significant association between long sleep duration and all-cause mortality (adjusted HR = 1.24, 95% CI: 1.16-1.33, P < .001), whereas only marginal significance was observed for short sleep duration (adjusted HR = 1.04; 95% CI: 1.00-1.09; P = .033). Funnel plots suggested no publication bias for short sleep duration (P = .392). The probability of publication bias was high for long sleep duration (P = .020), yet the trim-and-fill method strengthened its significance in predicting all-cause mortality. In subgroup analyses, the association of long sleep duration with all-cause mortality was statistically significant in both women (HR = 1.48; 95% CI: 1.18-1.86; P = .001) and men (HR = 1.31; 95% CI: 1.10-1.58; P = .003). By contrast, with regard to short sleep duration, statistical significance was observed in men (HR = 1.13; 95% CI: 1.04-1.24; P = .007), but not in women (HR = 1.00; 95% CI: 0.85-1.18; P = .999) (Two-sample Z test P = .099). Besides gender, geographic region, sleep survey method, baseline age and follow-up interval were identified as possible causes of between-study heterogeneity in subgroup analyses. Further dose-response regression analyses revealed that trend estimation was more obvious for long sleep duration (regression coefficient: 0.13; P < .001) than for short sleep duration (regression coefficient: 0.02; P = .046).
Our findings indicate a significantly increased risk of all-cause mortality associated with long sleep duration, especially in women, as well as with short sleep duration in men only.
睡眠时间过短或过长被认为是老年人全因死亡率的潜在危险因素,但已发表研究的结果往往不可重复。
文献检索、研究筛选和数据提取由两人独立且重复完成。仅纳入前瞻性队列研究。效应量估计值以风险比(HR)和95%置信区间(CI)表示。
对28篇文章的汇总数据进行了荟萃分析,共涉及95259名老年人。总体分析显示,睡眠时间过长与全因死亡率之间存在显著关联(调整后HR = 1.24,95% CI:1.16 - 1.33,P <.001),而睡眠时间过短仅观察到边际显著性(调整后HR = 1.04;95% CI:1.00 - 1.09;P = 0.033)。漏斗图显示睡眠时间过短不存在发表偏倚(P = 0.392)。睡眠时间过长存在发表偏倚的可能性较高(P = 0.020),但修剪填充法强化了其在预测全因死亡率方面的显著性。亚组分析中,睡眠时间过长与全因死亡率的关联在女性(HR = 1.48;95% CI:1.18 - 1.86;P = 0.001)和男性(HR = 1.31;95% CI:1.10 - 1.58;P = 0.003)中均具有统计学意义。相比之下,关于睡眠时间过短,在男性中观察到统计学意义(HR = 1.13;95% CI:1.04 - 1.24;P = 0.007),而在女性中未观察到(HR = 1.00;95% CI:0.85 - 1.18;P = 0.999)(双样本Z检验P = 0.099)。除性别外,地理区域、睡眠调查方法、基线年龄和随访间隔在亚组分析中被确定为研究间异质性的可能原因。进一步的剂量反应回归分析显示,睡眠时间过长的趋势估计(回归系数:0.13;P <.001)比睡眠时间过短(回归系数:0.02;P = 0.046)更明显。
我们的研究结果表明,睡眠时间过长尤其是女性,以及仅男性睡眠时间过短,均与全因死亡率风险显著增加相关。