Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, FINLAND.
Big Data Institute, University of Oxford, Oxford, UNITED KINGDOM.
Med Sci Sports Exerc. 2021 Feb 1;53(2):324-332. doi: 10.1249/MSS.0000000000002481.
This study aimed to examine how compositions of 24-h time use and time reallocations between movement behaviors are associated with cardiometabolic health in a population-based sample of middle-age Finnish adults.
Participants were 3443 adults 46 yr of age from the Northern Finland Birth Cohort 1966 study. Participants wore a hip-worn accelerometer for 14 d from which time spent in sedentary behavior (SB), light-intensity physical activity (LPA), and moderate- to vigorous-intensity physical activity (MVPA) were determined. These data were combined with self-reported sleep to obtain the 24-h time-use composition. Cardiometabolic outcomes included adiposity markers, blood lipid levels, and markers of glucose control and insulin sensitivity. Multivariable-adjusted regression analysis, using a compositional data analysis approach based on isometric log-ratio transformation, was used to examine associations between movement behaviors with cardiometabolic outcomes.
More daily time in MVPA and LPA, relative to other movement behaviors, was consistently favorably associated with all cardiometabolic outcomes. For example, relative to time spent in other behaviors, 30 min·d-1 more MVPA and LPA were both associated with lower 2-h post-glucose load insulin level (-11.8% and -2.7%, respectively). Relative to other movement behaviors, more daily time in SB was adversely associated with adiposity measures, lipid levels, and markers of insulin sensitivity, and more daily time asleep was adversely associated with adiposity measures, blood lipid, fasting plasma glucose, and 2-h insulin. For example, 60 min·d-1 more SB and sleep relative to the remaining behaviors were both associated with higher 2-h insulin (3.5% and 5.7%, respectively).
Altering daily movement behavior compositions to incorporate more MVPA at the expense of any other movement behavior, or more LPA at the expense of SB or sleep, could help to improve cardiometabolic health in midadulthood.
本研究旨在探讨 24 小时时间分配和不同运动行为间的时间再分配情况如何影响中年芬兰人群的心血管代谢健康。
参与者为来自芬兰北部出生队列 1966 研究的 3443 名 46 岁成年人。参与者佩戴髋部加速度计 14 天，由此确定久坐行为（SB）、低强度体力活动（LPA）和中高强度体力活动（MVPA）的时间。这些数据与自我报告的睡眠数据相结合，以获得 24 小时的时间分配情况。心血管代谢结果包括肥胖指标、血脂水平以及血糖控制和胰岛素敏感性的标志物。采用基于等比对数变换的组合数据分析方法的多变量调整回归分析，研究了不同运动行为与心血管代谢结果之间的关联。
与其他运动行为相比，每天更多的时间进行 MVPA 和 LPA 与所有心血管代谢结果均呈正向关联。例如，与其他行为相比，MVPA 和 LPA 每天分别增加 30 分钟，与 2 小时餐后胰岛素水平降低 11.8%和 2.7%有关。与其他运动行为相比，每天更多的时间进行 SB 与肥胖指标、血脂水平和胰岛素敏感性标志物呈负相关，更多的时间睡觉与肥胖指标、血脂、空腹血糖和 2 小时胰岛素呈负相关。例如，与其他行为相比，SB 和睡眠每天分别增加 60 分钟，与 2 小时胰岛素升高 3.5%和 5.7%有关。
改变日常运动行为的组成，用 MVPA 取代其他任何运动行为，或用 LPA 取代 SB 或睡眠，可能有助于改善中年人的心血管代谢健康。
