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天气相关因素对身体活动干预的调节作用。

Moderating Effects of Weather-Related Factors on a Physical Activity Intervention.

机构信息

Department of Preventive Medicine, Northwestern University, Chicago, Illinois.

Department of Preventive Medicine, Northwestern University, Chicago, Illinois.

出版信息

Am J Prev Med. 2018 May;54(5):e83-e89. doi: 10.1016/j.amepre.2018.01.025. Epub 2018 Mar 15.

Abstract

INTRODUCTION

The purpose of this study is to identify whether weather-related factors moderate the effect of a physical activity (PA) intervention.

METHODS

Participants (N=204, 77% female, mean age 33 [SD=11] years, mean BMI 28.2 [SD=7.1]) from the Make Better Choices 1 trial, enrolled April 2005 to April 2008, were randomized to one of two treatment conditions: (1) increase moderate to vigorous physical activity (MVPA) treatment group, or (2) decrease sedentary behavior control group. Participants wore an accelerometer for 5 weeks: a 2-week baseline assessment followed by a 3-week intervention. Accelerometer data were used to estimate minutes/day of MVPA. Average daily temperature, day length, and precipitation were obtained from the National Climatic Data Center and combined with the accelerometer data. Linear mixed effects models were used to determine whether these weather-related factors moderated the effect of the intervention on MVPA. Separate models were fit for season, daily average temperature, and day length.

RESULTS

There was a significant moderating effect of season on MVPA such that the PA intervention, as compared with control, increased MVPA 10.4 minutes more in the summer than in the winter (95% CI=1.1, 19.6, p=0.029). There was a significant moderating effect of daily temperature such that every 10°F increase in temperature was associated with an additional 1.5 minutes/day increase in the difference in MVPA increase between the two intervention conditions (95% CI=0.1, 2.9, p=0.015). There was a significant moderating effect of day length such that every additional hour of daylight was associated with a 2.23-minute increase in the PA intervention's impact on increasing MVPA (95% CI=0.8, 3.7, p=0.002).

CONCLUSIONS

Day length and temperature had a significant moderating effect on change in MVPA during a PA intervention such that the intervention was less effective on colder days and on shorter days, independently. These results suggest that strategies to overcome environmental barriers should be considered when designing PA interventions for adults.

摘要

简介

本研究旨在确定与天气相关的因素是否会影响体育活动(PA)干预的效果。

方法

参与者(N=204,77%为女性,平均年龄 33 [SD=11] 岁,平均 BMI 28.2 [SD=7.1])来自 Make Better Choices 1 试验,于 2005 年 4 月至 2008 年 4 月入组,随机分为两种治疗组之一:(1)增加中等至剧烈体力活动(MVPA)治疗组,或(2)减少久坐行为对照组。参与者佩戴加速度计 5 周:2 周基线评估后进行 3 周干预。加速度计数据用于估计每天 MVPA 分钟数。从国家气候数据中心获取平均日温度、日长和降水量,并将其与加速度计数据结合。线性混合效应模型用于确定这些与天气相关的因素是否会影响干预对 MVPA 的影响。分别为季节、日平均温度和日长拟合单独的模型。

结果

季节对 MVPA 有显著的调节作用,与对照组相比,PA 干预在夏季比冬季多增加 10.4 分钟的 MVPA(95%CI=1.1,19.6,p=0.029)。日温度有显著的调节作用,温度每升高 10°F,两种干预条件下 MVPA 增加差异的每日增加量就会增加 1.5 分钟/天(95%CI=0.1,2.9,p=0.015)。日长有显著的调节作用,每天增加一小时的日光与 PA 干预增加 MVPA 的影响增加 2.23 分钟有关(95%CI=0.8,3.7,p=0.002)。

结论

日长和温度对 PA 干预期间 MVPA 的变化有显著的调节作用,因此,干预在较冷和较短的日子效果较差,这是独立的。这些结果表明,在为成年人设计 PA 干预时,应考虑克服环境障碍的策略。

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The effects of daily weather on accelerometer-measured physical activity.
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