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体力活动与全因死亡率的关系:使用成分数据分析法进行的 15 年随访。

Association between physical activity and all-cause mortality: A 15-year follow-up using a compositional data analysis.

机构信息

Division of Physiotherapy, Department of Neurobiology, Care Sciences, and Society (NVS), Karolinska Institutet, Huddinge, Sweden.

Aging Research Center, Department of Neurobiology, Care Sciences, and Society (NVS), Karolinska Institutet, Stockholm, Sweden.

出版信息

Scand J Med Sci Sports. 2020 Jan;30(1):100-107. doi: 10.1111/sms.13561. Epub 2019 Oct 27.

DOI:10.1111/sms.13561
PMID:31581345
Abstract

The association between the composition of movement behaviors and mortality risk, acknowledging the composition nature of daily time data, is limited explored. The aim was to investigate how the composition of time spent in sedentary behaviors (SB), light intensity physical activity (LIPA), and moderate-to-vigorous physical activity (MVPA) is associated with all-cause mortality, in a cohort with 15 years follow-up time, using compositional data analysis. Eight hundred fifty-one participants (56% women, mean age 53 years) provided objectively assessed physical activity data using an ActiGraph accelerometer and were followed for 15 years. Association of daily time composition of movement behaviors with risk of mortality was explored using compositional data analysis and hazard ratios (HR) of mortality were estimated based on a cox regression model. A significant (P < .001) positive association between time spent in SB relative to time in other behaviors and a significant (P = .018) negative association between time spent in LIPA relative to time in other behaviors, with all-cause mortality, were found. Substituting time spent in LIPA or MVPA with time in SB increased the hazard for all-cause mortality, with greater effect found for MVPA (20 minutes replacement; HR 1.26, 95% CI 1.04-1.52) than for LIPA (20 minutes replacement; HR 1.06, 95% CI 0.65-1.73). In a public health perspective, it is recommended to substitute SB with either LIPA or MVPA, but for individuals with little time spent in MVPA, the most important message may be to try to maintain that behavior.

摘要

运动行为组成与死亡风险之间的关联,考虑到日常时间数据的组成性质,目前的研究还很有限。本研究旨在通过成分数据分析,调查久坐行为(SB)、低强度体力活动(LIPA)和中高强度体力活动(MVPA)的时间组成与全因死亡率之间的关系,该队列的随访时间为 15 年。851 名参与者(56%为女性,平均年龄 53 岁)使用 ActiGraph 加速度计提供了客观评估的体力活动数据,并随访了 15 年。使用成分数据分析探索了日常运动行为时间组成与死亡率风险的关联,并基于 Cox 回归模型估计了死亡率的风险比(HR)。结果发现,与其他行为相比,SB 时间与全因死亡率呈显著正相关(P <.001),与其他行为相比,LIPA 时间与全因死亡率呈显著负相关(P =.018)。用 SB 时间替代 LIPA 或 MVPA 时间会增加全因死亡率的风险,其中 MVPA 的影响更大(20 分钟替代;HR 1.26,95%CI 1.04-1.52),而 LIPA 的影响较小(20 分钟替代;HR 1.06,95%CI 0.65-1.73)。从公共卫生的角度来看,建议用 LIPA 或 MVPA 替代 SB,但对于那些很少进行 MVPA 的个体,最重要的信息可能是尝试保持该行为。

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