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首页> 外文期刊>JMIR public health and surveillance. >Physical activity surveillance during the COVID-19 pandemic: Using consumer-based activity trackers as a tool for physical activity monitoring in epidemiological studies
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Physical activity surveillance during the COVID-19 pandemic: Using consumer-based activity trackers as a tool for physical activity monitoring in epidemiological studies

机译：Covid-19大流行期间的身体活动监测：使用基于消费者的活动跟踪器作为流行病学研究中的体育活动监测工具

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BACKGROUND:Consumer-based physical activity trackers increase 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. 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.OBJECTIVE:The aim of this study was 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.METHODS: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 onwards. 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 change in 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 test.RESULTS: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, as well as when comparing March-December 2019 with March-December 2020.CONCLUSIONS: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 change in physical activity levels during the COVID-19 period.
机译：背景：基于消费者的身体活动跟踪器的流行程度增加。这些设备的广泛使用和记录数据的长期性质提供了流行病学研究的有价值的身体活动数据来源。挑战包括活动跟踪器模型之间的大异构性，就可用数据类型，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的准确性。这些研究的目的是发展系统记录来自基于消费者的活动跟踪器的不同提供者的物理活动数据，并将其可用性作为流行病学研究中的体育活动监测工具。数据的纵向性和并发大流行爆发允许我们展示系统如何用于在Covid-19锁定之前，期间和之后的身体活动水平监控。方法：我们为自动开发了一个系统（MSPIDER）从Apple，Fitbit，Garmin，Oura，Polar，Samsung和Hotings的参与者佩戴活动跟踪器的身体活动记录数据，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系统，我们招募了35名志愿者，从2019年初开始使用提供的活动跟踪器。此外，我们招聘了113名与会在挪威Covid-19锁定之前，期间和之后佩戴的私人活动跟踪器。我们在2019年和2020年间的步骤数量，分钟的阶梯数，分钟内进行了每月变更，以及2019年和2020年之间的活动能源支出，使用条形图和双面配对样本T检验和Wilcoxon签名 - 等级测试。结果：比较截至2019年3月，在2020年3月20日锁定期间，平均步长计数和平均活动能耗的显着减少。步骤和活动能源支出的减少是暂时的，下列每月比较在2019年和2020年之间没有显着变化。在锁定期间，观察到几种每月比较，观察到中度剧烈的身体活动的小显着增加as 2019年3月 - 12月20日至12月12日比较时.Conclusions：MSPIDER是目前能够从基于消费者的活动跟踪器的提供者记录物理活动数据的工作原型。该系统已成功用于在Covid-19期间检查物理活动水平的变化。

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