消费级可穿戴设备和智能手机用于人口体育活动监测的考虑

T. Strain, K. Wijndaele, M. Pearce, S. Brage
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引用次数: 5

摘要

随着智能手机和可穿戴设备拥有量的增加,人们对它们监测身体活动的兴趣也在增加。可穿戴设备在临床和流行病学研究领域的应用已经有很多例子。然而,这些设备是否都适用于身体活动监测还有待讨论。在这篇文章中,我们讨论了四个与监控特别相关的关键问题,我们认为在消费者可穿戴设备被考虑用于这种测量目的之前,需要解决这些问题:代表性抽样、代表性佩戴时间、有效性和可靠性,以及设备之间的兼容性。一个反复出现的主题是如何处理人口群体的系统性偏见。我们提出了一些潜在的解决方案,例如为个人提供标准化的设备,考虑不容易产生佩戴时间偏差的体力活动汇总指标,以及开发一个框架来协调设备类型及其内置算法之间的估计。我们鼓励研究人员和消费者可穿戴设备制造商在这一领域进行合作。与此同时,我们警告不要在没有考虑这些问题的情况下使用消费者可穿戴设备数据来推断人口水平的活动。
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Considerations for the Use of Consumer-Grade Wearables and Smartphones in Population Surveillance of Physical Activity
As smartphone and wearable device ownership increase, interest in their utility to monitor physical activity has risen concurrently. Numerous examples of the application of wearables in clinical and epidemiological research settings already exist. However, whether these devices are all suitable for physical activity surveillance is open for debate. In this article, we discuss four key issues specifically relevant to surveillance that we believe need to be tackled before consumer wearables can be considered for this measurement purpose: representative sampling, representative wear time, validity and reliability, and compatibility between devices. A recurring theme is how to deal with systematic biases by demographic groups. We suggest some potential solutions to the issues of concern such as providing individuals with standardized devices, considering summary metrics of physical activity less prone to wear time biases, and the development of a framework to harmonize estimates between device types and their inbuilt algorithms. We encourage collaborative efforts from researchers and consumer wearable manufacturers in this area. In the meantime, we caution against the use of consumer wearable device data for inference of population-level activity without the consideration of these issues.
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来源期刊
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2.90
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