Quantifying the physical activity energy expenditure of commuters using a combination of global positioning system and combined heart rate and movement sensors.
Quantifying the physical activity energy expenditure of commuters using a combination of global positioning system and combined heart rate and movement sensors.
复制标题
DOI：
10.1016/j.ypmed.2015.09.022
复制
发表时间：
2015-12
影响因子：
5.1
通讯作者：
Panter J
中科院分区：
文献类型：
--
作者：
Costa S;Ogilvie D;Dalton A;Westgate K;Brage S;Panter J
积极的通勤可能有助于提高成年人的身体活动水平。然而，对其能源成本的估计来自少数以实验室为基础的研究或使用自我报告的测量方法。在剑桥（英国）工作的成年人通过主要基于工作场所的策略被招募，在2010年和2011年，他们在一周内佩戴心率和运动传感器以及全球定位系统（GPS）设备，并完成同步的每日旅行日记。使用GPS数据描绘通勤行程，并使用混合效应线性回归导出代谢强度（标准代谢当量；MET），并比较不同出行类型之间的差异。182次通勤旅程被纳入分析。驾车出行的平均强度为1.28 MET；巴士车费1.67 MET；4.61 MET步行行程；单车旅行的MET为6.44；乘汽车与步行相结合的旅程为1.78 MET；驾车和骑自行车的交通则为2.21 MET。驾车出行的价值明显低于其他所有出行方式的价值（p < 0.04）。平均而言，包括任何积极旅行（相当于8分钟）的旅行时间的20%用于中度至剧烈的身体活动（MVPA）。我们已经演示了如何同时使用GPS和来自自由生活样本的活动数据来提供通勤能量消耗的客观估计。平均而言，将步行或骑自行车纳入长途旅行中，仅通勤就能提供超过每周推荐活动量的一半。这可能是实现体育活动指导方针和改善人口健康的有效途径。
Active commuting may help to increase adults' physical activity levels. However, estimates of its energy cost are derived from a small number of studies which are laboratory-based or use self-reported measures. Adults working in Cambridge (UK) recruited through a predominantly workplace-based strategy wore combined heart rate and movement sensors and global positioning system (GPS) devices for one week, and completed synchronous day-by-day travel diaries in 2010 and 2011. Commuting journeys were delineated using GPS data, and metabolic intensity (standard metabolic equivalents; MET) was derived and compared between journey types using mixed-effects linear regression. 182 commuting journeys were included in the analysis. Median intensity was 1.28 MET for car journeys; 1.67 MET for bus journeys; 4.61 MET for walking journeys; 6.44 MET for cycling journeys; 1.78 MET for journeys made by car in combination with walking; and 2.21 MET for journeys made by car in combination with cycling. The value for journeys made solely by car was significantly lower than those for all other journey types (p < 0.04). On average, 20% of the duration of journeys incorporating any active travel (equating to 8 min) was spent in moderate-to-vigorous physical activity (MVPA). We have demonstrated how GPS and activity data from a free-living sample can be used simultaneously to provide objective estimates of commuting energy expenditure. On average, incorporating walking or cycling into longer journeys provided over half the weekly recommended activity levels from the commute alone. This may be an efficient way of achieving physical activity guidelines and improving population health.