Chan Catherine B, Ryan Daniel A J, Tudor-Locke Catrine
Department of Biomedical Sciences, University of Prince Edward Island, Charlottetown, PE, Canada.
Int J Behav Nutr Phys Act. 2006 Aug 7;3:21. doi: 10.1186/1479-5868-3-21.
The weather may be a barrier to physical activity but objective assessment of this hypothesis is lacking. Therefore we evaluated the effect of temperature, rain or snow, and wind speed on the daily physical activity of adults.
This report contains data from 25 males (BMI (mean +/- SD): 28.7 +/- 3.83 kg/m2) and 177 females (BMI: 29.2 +/- 5.92 kg/m2) enrolled in an intervention to increase physical activity. Steps/day of the participants was measured by pedometer. Weather data were obtained from Environment Canada. A total of 8,125 observations were included in a mixed linear model analysis.
Significant weather related variables (at the 5% level) impacting steps/day included: seasonal effects related to the interaction between weekday and month; mean temperature, total rainfall, interactions between gender, BMI and total snow, interactions between maximum wind speed and BMI, and the amount of snow on the ground. The estimated magnitudes for the various effects were modest, ranging from approximately 1% to approximately 20%. Thus for an average individual taking approximately 10,000 steps/day, weather-dependent changes in physical activity could reach 2,000 steps/day.
We conclude that weather had modest effects on physical activity of participants in an intervention to increase their activity. It should be stressed that these effects may be different for less or more motivated people. With this in mind, we suggest that the effect of weather on physical activity in the general population needs to be objectively assessed to better understand the barrier it poses, especially as it relates to outdoor recreation or work activities.
天气可能是身体活动的一个障碍,但缺乏对这一假设的客观评估。因此,我们评估了温度、降雨或降雪以及风速对成年人日常身体活动的影响。
本报告包含了25名男性(BMI(均值±标准差):28.7±3.83kg/m²)和177名女性(BMI:29.2±5.92kg/m²)参与一项旨在增加身体活动的干预措施的数据。参与者每天的步数通过计步器测量。天气数据来自加拿大环境部。总共8125条观测数据纳入了混合线性模型分析。
影响每日步数的与天气相关的显著变量(在5%水平)包括:与工作日和月份之间相互作用相关的季节效应;平均温度、总降雨量、性别、BMI与总降雪量之间的相互作用、最大风速与BMI之间的相互作用以及地面上的积雪量。各种效应的估计幅度较小,范围从约1%到约20%。因此,对于一个平均每天走约10000步的人来说,与天气相关的身体活动变化可达每天2000步。
我们得出结论,天气对参与增加活动量干预措施的参与者的身体活动有适度影响。应该强调的是,对于积极性较低或较高的人,这些影响可能不同。考虑到这一点,我们建议需要客观评估天气对一般人群身体活动的影响,以便更好地理解它所构成的障碍,特别是与户外娱乐或工作活动相关的障碍。