Consumer-Based Activity Trackers as a Tool for Physical Activity Monitoring in Epidemiological Studies During the COVID-19 Pandemic: Development and Usability Study.

Consumer-Based Activity Trackers as a Tool for Physical Activity Monitoring in Epidemiological Studies During the COVID-19 Pandemic: Development and Usability Study.
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DOI:
10.2196/23806
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发表时间:
2021-04-23
影响因子:
8.5
通讯作者:
Hopstock LA
Hopstock LA
中科院分区:
医学3区
文献类型:
--
作者:
Henriksen A;Johannessen E;Hartvigsen G;Grimsgaard S;Hopstock LA

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基于消费者的身体活动跟踪器越来越受欢迎。这些设备的广泛使用和记录数据的长期性为流行病学研究提供了有价值的身体活动数据来源。这些挑战包括活动跟踪器模型之间在可用数据类型、记录数据的准确性以及如何在不同提供商和第三方系统之间共享这些数据方面的巨大异质性。本研究的目的是开发一个系统来记录来自不同提供者的基于消费者的活动跟踪器的身体活动数据,并检查其作为流行病学研究中身体活动监测工具的可用性。数据的纵向性质和同时爆发的大流行病使我们能够展示该系统如何用于在COVID-19封锁之前、期间和之后监测身体活动水平。我们开发了一个系统(mSpider),用于自动记录佩戴Apple,Fitbit,Garmin,Oura,Polar,Samsung和Withings活动跟踪器的参与者的身体活动数据,以及在Google Fit和Apple Health中存储数据的跟踪器。为了在整个开发过程中测试该系统,我们招募了35名志愿者,从2019年初开始佩戴提供的活动跟踪器。此外,我们招募了113名参与者,他们在挪威COVID-19封锁之前、期间和之后佩戴了私人活动跟踪器。我们使用条形图和双侧配对样本t检验和Wilcoxon符号秩检验检查了2019年至2020年期间步数,中度至剧烈体力活动分钟数和活动能量消耗的每月变化。与二零一九年三月相比,于二零二零年三月封城期间,平均步数及平均活动能量消耗显著减少。步数和活动能量消耗的减少是暂时性的,以下的月度比较显示2019年和2020年之间没有显著变化。在封锁期后的几个月比较中,以及将2019年3月至12月与2020年3月至12月进行比较时,观察到中度至剧烈体力活动略有显著增加。mSpider是一个工作原型,目前能够记录来自消费者活动跟踪器提供商的身体活动数据。该系统已成功用于检查COVID-19期间身体活动水平的变化。
Consumer-based physical activity trackers have increased in popularity. The widespread use of these devices and the long-term nature of the recorded data provides a valuable source of physical activity data for epidemiological research. The challenges include the large heterogeneity between activity tracker models in terms of available data types, the accuracy of recorded data, and how this data can be shared between different providers and third-party systems. The aim of this study is to develop a system to record data on physical activity from different providers of consumer-based activity trackers and to examine its usability as a tool for physical activity monitoring in epidemiological research. The longitudinal nature of the data and the concurrent pandemic outbreak allowed us to show how the system can be used for surveillance of physical activity levels before, during, and after a COVID-19 lockdown. We developed a system (mSpider) for automatic recording of data on physical activity from participants wearing activity trackers from Apple, Fitbit, Garmin, Oura, Polar, Samsung, and Withings, as well as trackers storing data in Google Fit and Apple Health. To test the system throughout development, we recruited 35 volunteers to wear a provided activity tracker from early 2019 and onward. In addition, we recruited 113 participants with privately owned activity trackers worn before, during, and after the COVID-19 lockdown in Norway. We examined monthly changes in the number of steps, minutes of moderate-to-vigorous physical activity, and activity energy expenditure between 2019 and 2020 using bar plots and two-sided paired sample t tests and Wilcoxon signed-rank tests. Compared to March 2019, there was a significant reduction in mean step count and mean activity energy expenditure during the March 2020 lockdown period. The reduction in steps and activity energy expenditure was temporary, and the following monthly comparisons showed no significant change between 2019 and 2020. A small significant increase in moderate-to-vigorous physical activity was observed for several monthly comparisons after the lockdown period and when comparing March-December 2019 with March-December 2020. mSpider is a working prototype currently able to record physical activity data from providers of consumer-based activity trackers. The system was successfully used to examine changes in physical activity levels during the COVID-19 period.