Graduate Institute of Sports and Health, National Changhua University of Education, Changhua City, Taiwan.
Department of Behavioural Science and Health, University College London, London, UK.
BMC Med. 2018 May 25;16(1):74. doi: 10.1186/s12916-018-1062-2.
The appropriate limit to the amount of daily sedentary time (ST) required to minimize mortality is uncertain. This meta-analysis aimed to quantify the dose-response association between daily ST and all-cause mortality and to explore the cut-off point above which health is impaired in adults aged 18-64 years old. We also examined whether there are differences between studies using self-report ST and those with device-based ST.
Prospective cohort studies providing effect estimates of daily ST (exposure) on all-cause mortality (outcome) were identified via MEDLINE, PubMed, Scopus, Web of Science, and Google Scholar databases until January 2018. Dose-response relationships between daily ST and all-cause mortality were examined using random-effects meta-regression models.
Based on the pooled data for more than 1 million participants from 19 studies, the results showed a log-linear dose-response association between daily ST and all-cause mortality. Overall, more time spent in sedentary behaviors is associated with increased mortality risks. However, the method of measuring ST moderated the association between daily ST and mortality risk (p < 0.05). The cut-off of daily ST in studies with self-report ST was 7 h/day in comparison with 9 h/day for those with device-based ST.
Higher amounts of daily ST are log-linearly associated with increased risk of all-cause mortality in adults. On the basis of a limited number of studies using device-based measures, the findings suggest that it may be appropriate to encourage adults to engage in less sedentary behaviors, with fewer than 9 h a day being relevant for all-cause mortality.
每天需要多少时间保持坐姿(ST)才能最小化死亡率还不确定。本研究旨在定量评估每日 ST 与全因死亡率之间的剂量反应关系,并探讨 18-64 岁成年人中健康受损的 ST 时间切点。我们还检查了使用自我报告 ST 的研究和基于设备的 ST 研究之间是否存在差异。
通过 MEDLINE、PubMed、Scopus、Web of Science 和 Google Scholar 数据库,直到 2018 年 1 月,我们确定了提供每日 ST(暴露)与全因死亡率(结局)之间效应估计值的前瞻性队列研究。使用随机效应荟萃回归模型检验每日 ST 与全因死亡率之间的剂量反应关系。
基于来自 19 项研究的超过 100 万名参与者的汇总数据,结果显示每日 ST 与全因死亡率之间存在对数线性剂量反应关系。总的来说,更多的久坐行为时间与死亡率风险增加相关。然而,ST 测量方法调节了每日 ST 与死亡率风险之间的关联(p<0.05)。与基于设备的 ST 研究相比,自我报告 ST 研究中的每日 ST 切点为 7 小时/天。
在成年人中,每日 ST 时间与全因死亡率风险呈对数线性相关。基于少数使用基于设备的测量方法的研究,发现每天少于 9 小时的久坐行为可能是合适的,这与全因死亡率相关。