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课间休息时的日常体力活动的估计分布。

Estimated Distributions of Usual Physical Activity during Recess.

机构信息

1Mathematica Policy Research, Washington, DC; 2Mathematica Policy Research, Princeton, NJ; 3Mathematica Policy Research, Oakland, CA; and 4Mathematica Policy Research, Princeton, NJ.

出版信息

Med Sci Sports Exerc. 2015 Jun;47(6):1197-203. doi: 10.1249/MSS.0000000000000535.

Abstract

PURPOSE

This study aimed to estimate distributions of usual physical activity during recess in schools in low-income areas using measurement error models and to compare model-adjusted distributions to unadjusted distributions based on a single day of measurement.

METHODS

A randomized study of the Playworks program was conducted in 29 schools from six U.S. cities. A sample of 365 fourth- and fifth-grade students in 26 of the study schools wore accelerometers during their recess periods on two school days. Estimates for the percentage of time spent in moderate to vigorous physical activity (MVPA) during recess were constructed from the accelerometer data for each school day. Using measurement error models, distributions for the usual amount of time spent in MVPA during recess were estimated for intervention and control groups of males and females. Unadjusted distributions for these same groups were also constructed using data from a single school day.

RESULTS

There is considerable intraindividual variability in the students' physical activity, which accounts for 67%-83% of the overall variability, depending on the study group. Unadjusted single-day distributions are much wider and have more weight in the tails than model-adjusted distributions owing to this large intraindividual variability in the data.

CONCLUSIONS

Using measurement error models to analyze physical activity data collected from recess periods will allow for more accurate and reliable inferences on students' physical activity.

摘要

目的

本研究旨在使用测量误差模型估计低收入地区学校课间通常体育活动的分布情况,并将基于单一天测量的未调整分布与经过模型调整的分布进行比较。

方法

在美国六个城市的 29 所学校中进行了 Playworks 计划的随机研究。在 26 所研究学校中的 365 名四、五年级学生在两个上学日的课间休息期间佩戴加速度计。根据每个上学日的加速度计数据,估计课间休息期间中等到剧烈体力活动(MVPA)的时间百分比。使用测量误差模型,为干预组和对照组的男性和女性估计了课间休息期间通常进行 MVPA 的时间分布。使用单一天的数据,也为这些相同的组构建了未经调整的分布。

结果

学生的体力活动存在很大的个体内变异性,根据研究组的不同,占总变异性的 67%-83%。由于数据中存在这种大的个体内变异性,未经调整的单日分布更宽,尾部的权重更大。

结论

使用测量误差模型分析课间休息期间收集的体力活动数据,将能够更准确、可靠地推断学生的体力活动。

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