Associations of movement behaviors and body mass index: comparison between a report-based and monitor-based method using Compositional Data Analysis.
Associations of movement behaviors and body mass index: comparison between a report-based and monitor-based method using Compositional Data Analysis.
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DOI：
10.1038/s41366-020-0638-z
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发表时间：
2021-01
期刊：
影响因子：
--
通讯作者：
Welk GJ
中科院分区：
文献类型：
--
作者：
Kim Y;Burns RD;Lee DC;Welk GJ
关于生活方式运动行为与肥胖之间关联的证据是在没有考虑到分类的、基于时间的生活方式行为的时间限制性质的情况下建立的。我们使用成分数据分析（CoDA）检查了睡眠、久坐行为（SED）、轻强度体力活动（LPA）和中高强度体力活动（MVPA）与体重指数（BMI）的关联，并比较了基于报告的方法（24小时体力活动回忆；24PAR）和基于监测的方法（SenseWear Armband； SWA）之间的关联。研究中使用了来自身体活动测量调查（PAMS）的1247名成年人的代表性样本的重复数据。参与者在随机选择的两天完成活动监测，每天都需要佩戴SWA一整天，然后在第二天完成电话管理的24PAR。采用CoDA对24PAR和SWA数据进行多元线性回归，分析行为构成部位与BMI之间的关系。使用24PAR，睡眠时间（γ = - 3.58, p = 0.011）、SED （γ = 3.70, p = 0.002）和MVPA （γ = - 0.53, p = 0.018）与BMI相关。使用SWA、睡眠时间(γ=−5.10,p < 0.001), SED(γ= 8.93,p < 0.001), LPA(γ=−3.12,p < 0.001), MVPA(γ=−1.43,p < 0.001)与体重指数相关。与24PAR模型（R2 = 0.07）相比，SWA模型解释了更多的BMI方差（R2 = 0.28）。组成等时间替代模型显示，用MVPA、LPA（非24PAR）或睡眠代替SED （24PAR和SWA）会降低BMI，但SWA的效果估计更大。总的来说，花在生活方式运动行为上的有利相对时间水平与BMI下降有关。与基于报告的24PAR方法相比，基于监测的SWA方法观察到的关联更强。
Evidence on the associations between lifestyle movement behaviors and obesity has been established without taking into account the time-constrained nature of categorized, time-based lifestyle behaviors. We examined the associations of sleep, sedentary behavior (SED), light-intensity physical activity (LPA), and moderate-to-vigorous PA (MVPA) with body mass index (BMI) using Compositional Data Analysis (CoDA), and compared the associations between a report-based method (24-h Physical Activity Recall; 24PAR) and a monitor-based method (SenseWear Armband; SWA). Replicate data from a representative sample of 1247 adults from the Physical Activity Measurement Survey (PAMS) were used in the study. Participants completed activity monitoring on two randomly selected days, each of which required wearing a SWA for a full day, and then completing a telephone-administered 24PAR the following day. Relationships among behavioral compositional parts and BMI were analyzed using CoDA via multiple linear regression models with both 24PAR and SWA data. Using 24PAR, time spent in sleep (γ = −3.58, p = 0.011), SED (γ = 3.70, p = 0.002), and MVPA (γ = −0.53, p = 0.018) was associated with BMI. Using SWA, time spent in sleep (γ = −5.10, p < 0.001), SED (γ = 8.93, p < 0.001), LPA (γ = −3.12, p < 0.001), and MVPA (γ = −1.43, p < 0.001) was associated with BMI. The SWA models explained more variance in BMI (R2 = 0.28) compared with the 24PAR models (R2 = 0.07). The compositional isotemporal substitution models revealed reductions in BMI when replacing SED by MVPA, LPA (not with 24PAR) or sleep for both 24PAR and SWA, but the effect estimates were larger with SWA. Favorable levels of relative time spent in lifestyle movement behaviors were, in general, associated with decreased BMI. The observed associations were stronger using the monitor-based SWA method compared with the report-based 24PAR method.
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影响因子：
5
作者：
Matthews, Charles E.;Chen, Kong Y.;Troiano, Richard P.
通讯作者：
Troiano, Richard P.
DOI：
10.1097/00005768-199610000-00012
发表时间：
1996-10-01
期刊：
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
影响因子：
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作者：
Durante, R;Ainsworth, BE
通讯作者：
Ainsworth, BE
影响因子：
5.4
作者：
Machac, Stanislav;Prochazka, Michal;Slaby, Krystof
通讯作者：
Slaby, Krystof
DOI：
10.1249/mss.0b013e3182897690
发表时间：
2013-08-01
期刊：
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
影响因子：
--
作者：
Matthews, Charles E.;Keadle, Sarah Kozey;Fowke, Jay H.
通讯作者：
Fowke, Jay H.
影响因子：
3.4
作者：
Kim, Youngwon;Welk, Gregory J.
通讯作者：
Welk, Gregory J.