Exercise and sleep: a systematic review of previous meta-analyses.

Exercise and sleep: a systematic review of previous meta-analyses.
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DOI:
10.1111/jebm.12236
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发表时间:
2017-03
影响因子:
--
通讯作者:
Kelley KS
Kelley KS
中科院分区:
医学2区
文献类型:
--
作者:
Kelley GA;Kelley KS

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对之前关于成人运动和睡眠结果的荟萃分析进行系统回顾,并对这些荟萃分析中的研究进行荟萃分析。通过检索9个电子数据库和交叉引用纳入随机对照运动干预的荟萃分析。采用双选法和数据提取法。使用AMSTAR评估荟萃分析的方法学质量,使用GRADE评估证据质量。随机效应模型用于汇总每个荟萃分析中包含的单个研究的结果。纳入了代表950名成人的3项荟萃分析。方法学质量从36%到64%不等,而证据质量则非常低。观察到呼吸暂停低通气指数(AHI)、总体睡眠质量、总体评分、主观睡眠和睡眠潜伏期的统计学显著改善(P ≤ 0.05)。需要治疗的数量(NNT)和百分位数改善范围分别为4 - 7和18.1 - 26.5。当汇总不同荟萃分析中嵌套的个体研究的总体睡眠质量结果时,观察到统计学显著的标准化平均差异(SMD)改善(-0.50,95%CI-0.72至-0.28)。NNT和百分位数改善分别为7和19。运动可以改善成年人的特定睡眠结果。为了扩大公共卫生的覆盖面,需要一个大型的、设计良好的、更具包容性的荟萃分析。
Conduct a systematic review of previous meta-analyses on exercise and sleep outcomes in adults and a meta-analysis of studies nested within these meta-analyses. Meta-analyses of randomized controlled exercise interventions were included by searching nine electronic databases and cross-referencing. Dual-selection and data abstraction were conducted. Methodological quality of meta-analyses was assessed using AMSTAR and quality of evidence using GRADE. Random-effects models were used to pool results from the individual studies included in each meta-analysis. Three meta-analyses representing 950 adults were included. Methodological quality ranged from 36% to 64% while quality of evidence was very low to low. Statistically significant improvements (P ≤ 0.05) were observed for the apnea-hypopnea index (AHI), overall sleep quality, global score, subjective sleep, and sleep latency. The number-needed-to-treat (NNT) and percentile improvements ranged from 4 to 7 and from 18.1 to 26.5, respectively. When overall sleep quality results from individual studies nested within different meta-analyses were pooled, statistically significant standardized mean difference (SMD) improvements were observed (−0.50, 95% CI −0.72 to −0.28). The NNT and percentile improvement were 7 and 19, respectively. Exercise improves selected sleep outcomes in adults. To increase public health reach, a large, well-designed, and more inclusive meta-analysis is needed.