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利用Fitbit®数据了解工作中的身体活动情况。

Understanding Episodes of Physical Activity at Work Using Fitbit® Data.

作者信息

Van Kasteren Yasmin, Maeder Anthony, Perimal-Lewis Lua

机构信息

Flinders University.

出版信息

Stud Health Technol Inform. 2018;252:151-157.

Abstract

For office workers as much as much as 77% of time at work is spent in sedentary behaviour, increasing the risk of cardio vascular disease, cancer, weight gain, obesity and musculoskeletal pain. Given the amount of time spent at work, increasing opportunities for moderate to vigorous physical activity for office workers can not only reduce risk of disease but also actively contribute to better brain function and reduced anxiety at work. In this research we adopt an ecological approach to understanding opportunities for physical activity at work. Using 1373 Fitbit data points from two collocated office workers with identical job descriptions, we demonstrate that episodes of movement in the office are of very short or short duration. Results were less clear for sedentary behaviour because of the potential for spurious step counts and the fact that accelerometers cannot distinguish between sitting and standing. The paper shows the limitations and potential of data from Fitbit devices as a means of understanding the opportunities and constraints of the organisational and physical environment for physical activity at work for office workers.

摘要

对于上班族而言,高达77%的工作时间都处于久坐状态,这增加了患心血管疾病、癌症、体重增加、肥胖症以及肌肉骨骼疼痛的风险。鉴于在工作中花费的时间量,增加上班族进行中度至剧烈体育活动的机会,不仅可以降低患病风险,还能积极促进更好的大脑功能,并减轻工作中的焦虑情绪。在本研究中,我们采用生态学方法来理解工作中的体育活动机会。利用来自两名工作职责相同的同地办公上班族的1373个Fitbit数据点,我们证明了办公室内的运动时段非常短或较短。由于可能存在虚假步数计数以及加速度计无法区分坐着和站着的情况,久坐行为的结果不太明确。本文展示了Fitbit设备数据作为一种理解上班族在工作中进行体育活动的组织和物理环境的机会与限制的手段的局限性和潜力。

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