Compositional Associations of Sleep and Activities within the 24-h Cycle with Cardiometabolic Health Markers in Adults.
Compositional Associations of Sleep and Activities within the 24-h Cycle with Cardiometabolic Health Markers in Adults.
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DOI：
10.1249/mss.0000000000002481
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发表时间：
2021-02-01
影响因子：
4.1
通讯作者：
Jämsä T
中科院分区：
文献类型：
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作者：
Farrahi V;Kangas M;Walmsley R;Niemelä M;Kiviniemi A;Puukka K;Collings PJ;Korpelainen R;Jämsä T
文本中提供了补充数字内容。本研究旨在探讨芬兰中年成年人的 24 小时时间使用构成和运动行为之间的时间重新分配与心脏代谢健康的关系。参与者是 1966 年芬兰北部出生队列研究中的 3443 名 46 岁成年人。参与者佩戴髋部佩戴的加速度计 14 天，确定久坐行为 (SB)、低强度体力活动 (LPA) 和中等到高强度体力活动 (MVPA) 所花费的时间。这些数据与自我报告的睡眠相结合，获得 24 小时的时间使用构成。心脏代谢结果包括肥胖标志物、血脂水平以及血糖控制和胰岛素敏感性标志物。多变量调整回归分析采用基于等距对数比变换的成分数据分析方法，用于检查运动行为与心脏代谢结果之间的关联。相对于其他运动行为，每天更多的 MVPA 和 LPA 时间与所有心脏代谢结果始终呈有利相关。例如，相对于花在其他行为上的时间，增加 30 分钟·d−1 的 MVPA 和 LPA 均与较低的 2 小时葡萄糖负荷后胰岛素水平相关（分别为 -11.8% 和 -2.7%）。相对于其他运动行为，每天更多的睡眠时间与肥胖指标、血脂水平和胰岛素敏感性指标呈负相关，而每天更多的睡眠时间与肥胖指标、血脂、空腹血糖和 2 小时胰岛素呈负相关。例如，相对于其余行为，多 60 分钟·d−1 的 SB 和睡眠都与较高的 2 小时胰岛素相关（分别为 3.5% 和 5.7%）。改变日常运动行为组成，以牺牲任何其他运动行为为代价纳入更多 MVPA，或者以牺牲 SB 或睡眠为代价纳入更多 LPA，可能有助于改善中年时期的心脏代谢健康。
Supplemental digital content is available in the text. 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.