Amagasa Shiho, Kojin Hiroyuki, Kamada Masamitsu, Fukuoka Yutaka, Inoue Shigeru
Department of Preventive Medicine and Public Health, Tokyo Medical University.
Department of Health and Social Behavior, School of Public Health, Graduate School of Medicine, The University of Tokyo.
Nihon Koshu Eisei Zasshi. 2021 Sep 7;68(9):585-596. doi: 10.11236/jph.20-143. Epub 2021 Jun 11.
Abstract With the growing popularity of mobile health (mHealth) devices, including smartphones and wearable devices, information and communications technology has gained high importance in healthcare settings. This study aimed to summarize the current trends in physical activity research wherein mHealth devices are used and provide perspectives for future research. Until recently, questionnaire surveys were primarily used to evaluate physical activity. While questionnaire surveys are effective for subjective evaluation, the use of mHealth devices enables large-scale, real-time, objective evaluation of physical activity. In addition, mHealth devices automatically collect and aggregate data. This allows researchers to perform retrospective analysis of a wide range of indicators of physical activity and health. Particularly, the use of smartphones is highly likely to contribute to large-scale monitoring and health interventions because of their ubiquity. Even though there are fewer users of wearable devices (wrist-worn devices) than those of smartphones, using wearable devices allows for the evaluation of 24-hour movement patterns. The use of wearable devices helps perform further precise analysis that focuses not only on the total amount of physical activity but also on the quality, including measures of intensity, duration, frequency, type, and time. Moreover, some wrist-worn devices measure physiological information such as heart rate and may also provide location information. Combining such data with information from an accelerometer associated with a device may allow for further specific and detailed evaluation of physical activity. The validity of physical activity assessment using major mHealth devices has been confirmed in several studies and is comparable to that of pedometers and accelerometers developed for research purposes. Evaluation of physical activity using mHealth devices involves issues related to the representativeness of the target population and continuity of data, as well as the need for ethical considerations based on privacy policies. While mHealth devices may be used by individuals as a health management tool, it is also expected that the evaluation of physical activity using mHealth devices will be performed in various settings such as epidemiological and clinical studies on physical activity, as well as community services wherein indicators of physical activity are used.
摘要 随着包括智能手机和可穿戴设备在内的移动健康(mHealth)设备越来越受欢迎,信息和通信技术在医疗保健领域变得极为重要。本研究旨在总结使用mHealth设备的身体活动研究的当前趋势,并为未来研究提供展望。直到最近,问卷调查仍是评估身体活动的主要方式。虽然问卷调查对于主观评估很有效,但使用mHealth设备能够对身体活动进行大规模、实时、客观的评估。此外,mHealth设备能自动收集和汇总数据。这使研究人员能够对身体活动和健康的广泛指标进行回顾性分析。特别是,由于智能手机无处不在,其使用极有可能有助于大规模监测和健康干预。尽管可穿戴设备(腕戴设备)的用户比智能手机用户少,但使用可穿戴设备可以评估24小时的运动模式。使用可穿戴设备有助于进行更精确的分析,不仅关注身体活动的总量,还关注质量,包括强度、持续时间、频率、类型和时间等指标。此外,一些腕戴设备可测量心率等生理信息,还可能提供位置信息。将这些数据与设备关联的加速度计信息相结合,可能会对身体活动进行更具体、详细的评估。多项研究已证实使用主要mHealth设备进行身体活动评估的有效性,且与为研究目的开发的计步器和加速度计相当。使用mHealth设备评估身体活动涉及目标人群代表性和数据连续性等问题,以及基于隐私政策进行伦理考量的必要性。虽然mHealth设备可被个人用作健康管理工具,但人们也期望在身体活动的流行病学和临床研究等各种环境中,以及在使用身体活动指标的社区服务中,使用mHealth设备进行身体活动评估。