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Investigating the impact of daily life context on physical activity in terms of steps information generated by wearable activity tracker.
International Journal of Medical Informatics ( IF 3.7 ) Pub Date : 2020-06-27 , DOI: 10.1016/j.ijmedinf.2020.104222
Grace Donghee Shin 1
Affiliation  

Objectives

This study used ecological momentary assessment (EMA) to understand how the contextual factors of everyday life affect physical activity in terms of steps measured by wearable activity tracking devices and to identify what factors increase physical activity. In addition, this study investigated and analyzed the user environment and resulting contextual factors in a typical office setting.

Methods

A total of 27 office workers of Korea (70.4 % male, aged 19–44, 51.9 % married, and mostly from an information technology company) participated in this study and provided five-day EMA diary data (morning and evening) in the form of activity log data from a wearable device and attended a 45–60 min qualitative interview. In this study, a mixed-method approach (qualitative and quantitative) was used.

Results

This study demonstrated that contextual factors such as mood state (e.g., tired, p < 0.01), level of physical activity (e.g., vigorous, p < 0.01), and types of physical activity (e.g., using the stairs instead of elevators, p < 0.05) could affect the physical activity of the users of wearable devices in everyday life.

Conclusion

The study contributed to a better understanding of how the contextual and environmental factors affect the physical activity of user of wearable activity trackers (WATs). These findings have practical implications for designers of such devices. In addition, these results could guide future research agendas.



中文翻译:

根据可穿戴活动跟踪器生成的步骤信息调查日常生活情境对体育锻炼的影响。

目标

这项研究使用生态瞬时评估(EMA)来了解日常生活中的背景因素如何通过可穿戴活动跟踪设备测量的步伐影响身体活动,并确定哪些因素会增加身体活动。此外,本研究调查和分析了典型办公环境中的用户环境以及由此产生的环境因素。

方法

韩国共有27名上班族(男性70.4%,年龄19-44岁,已婚51.9%,大部分来自信息技术公司)参加了这项研究,并以以下形式提供了五天的EMA日记数据(早上和晚上)来自可穿戴设备的活动日志数据,并参加了45-60分钟的定性访谈。在这项研究中,使用了混合方法(定性和定量)。

结果

这项研究表明,情境因素包括情绪状态(例如,疲倦,p <0.01),身体活动水平(例如,剧烈运动,p <0.01)和身体活动的类型(例如,使用楼梯代替电梯,p <0.05)可能会影响可穿戴设备用户日常生活中的身体活动。

结论

这项研究有助于更好地了解上下文和环境因素如何影响可穿戴活动跟踪器(WAT)用户的身体活动。这些发现对此类设备的设计人员具有实际意义。此外,这些结果可以指导未来的研究议程。

更新日期:2020-07-07
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