Associations Between Timing of Meals, Physical Activity, Light Exposure, and Sleep With Body Mass Index in Free-Living Adults

Associations Between Timing of Meals, Physical Activity, Light Exposure, and Sleep With Body Mass Index in Free-Living Adults
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DOI:
10.1123/jpah.2017-0389
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发表时间:
2019-03-01
影响因子:
3.1
通讯作者:
Mitchell, Jonathan A.
Mitchell, Jonathan A.
中科院分区:
医学4区
文献类型:
--
作者:
Marinac, Catherine R.;Quante, Mirja;Mitchell, Jonathan A.

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背景资料:这项研究在一个自由生活的成年人样本(N = 125)中测试了进餐时间,体力活动,光照和睡眠是否与个体内的体重指数(BMI)相关。研究方法:数据于2015年11月至2016年3月在加州大学圣地亚哥分校、费城儿童医院和圣刘易斯的华盛顿大学收集。测量身高和体重,计算BMI(kg/m2)。使用活动记录仪估计睡眠时间,并使用智能手机应用程序自我报告进餐时间,体力活动和光照。一般线性模型估计了不同时间行为类别的平均BMI,并对协变量进行了调整。一个潜在的类分析被用来识别模式的时间变量,聚集在个人和测试识别模式和BMI之间的关联。结果:较晚暴露于户外光线与较低的BMI相关(P趋势<0.01)。其他行为的时间与BMI无关。潜在类别分析确定了2个不同的群体相关的行为时间,反映了“早起的鸟儿”和“夜猫子”的表型。这些表型与BMI无关(P > 0.05)。结论:在该样本中,暴露于光照、膳食、睡眠和体力活动的时间与BMI没有强烈的相关性。
Background: This study tested if the timing of meals, physical activity, light exposure, and sleep cluster within individuals and are associated with body mass index (BMI) in a sample of free-living adults (N = 125). Methods: Data were collected between November 2015 and March 2016 at the University of California, San Diego, Children's Hospital of Philadelphia, and Washington University in St Louis. Height and weight were measured, and BMI (kg/m(2)) was calculated. Sleep timing was estimated using actigraphy, and timing of meals, physical activity, and light exposure were self-reported using a smartphone application. General linear models estimated the mean BMI across time categories of behaviors, adjusting for covariates. A latent class analysis was used to identify patterns of timing variables that clustered within individuals and test for associations between identified patterns and BMI. Results: Later exposure to outdoor light was associated with a lower BMI (P trend < .01). The timing of other behaviors was not independently associated with BMI. The latent class analysis identified 2 distinct groups related to behavioral timing, reflecting an "early bird" and "night owl" phenotype. These phenotypes were not associated with BMI (P > .05). Conclusion: Timing of exposures to light, meals, sleep, and physical activity were not strongly associated with BMI in this sample.