Sanders James P, Loveday Adam, Pearson Natalie, Edwardson Charlotte, Yates Thomas, Biddle Stuart J H, Esliger Dale W
Leicester-Loughborough Diet, Lifestyle and Physical Activity Biomedical Research Unit, Loughborough University, Loughborough, United Kingdom.
J Med Internet Res. 2016 May 4;18(5):e90. doi: 10.2196/jmir.5373.
It is well documented that meeting the guideline levels (150 minutes per week) of moderate-to-vigorous physical activity (PA) is protective against chronic disease. Conversely, emerging evidence indicates the deleterious effects of prolonged sitting. Therefore, there is a need to change both behaviors. Self-monitoring of behavior is one of the most robust behavior-change techniques available. The growing number of technologies in the consumer electronics sector provides a unique opportunity for individuals to self-monitor their behavior.
The aim of this study is to review the characteristics and measurement properties of currently available self-monitoring devices for sedentary time and/or PA.
To identify technologies, four scientific databases were systematically searched using key terms related to behavior, measurement, and population. Articles published through October 2015 were identified. To identify technologies from the consumer electronic sector, systematic searches of three Internet search engines were also performed through to October 1, 2015.
The initial database searches identified 46 devices and the Internet search engines identified 100 devices yielding a total of 146 technologies. Of these, 64 were further removed because they were currently unavailable for purchase or there was no evidence that they were designed for, had been used in, or could readily be modified for self-monitoring purposes. The remaining 82 technologies were included in this review (73 devices self-monitored PA, 9 devices self-monitored sedentary time). Of the 82 devices included, this review identified no published articles in which these devices were used for the purpose of self-monitoring PA and/or sedentary behavior; however, a number of technologies were found via Internet searches that matched the criteria for self-monitoring and provided immediate feedback on PA (ActiGraph Link, Microsoft Band, and Garmin Vivofit) and sedentary time (activPAL VT, the Lumo Back, and Darma).
There are a large number of devices that self-monitor PA; however, there is a greater need for the development of tools to self-monitor sedentary time. The novelty of these devices means they have yet to be used in behavior change interventions, although the growing field of wearable technology may facilitate this to change.
有充分文献记载,达到中度至剧烈身体活动(PA)的指南水平(每周150分钟)可预防慢性病。相反,新出现的证据表明长时间久坐有害。因此,需要改变这两种行为。行为自我监测是可用的最有效的行为改变技术之一。消费电子领域技术数量的不断增加为个人自我监测其行为提供了独特机会。
本研究的目的是回顾目前可用的用于久坐时间和/或PA自我监测设备的特征和测量属性。
为识别技术,使用与行为、测量和人群相关的关键词对四个科学数据库进行系统检索。确定截至2015年10月发表的文章。为从消费电子领域识别技术,还对三个互联网搜索引擎进行了系统检索,直至2015年10月1日。
最初的数据库检索识别出46种设备,互联网搜索引擎识别出100种设备,共产生146种技术。其中,64种因目前无法购买或没有证据表明它们是为自我监测目的设计、已用于自我监测目的或可轻松修改用于自我监测目的而被进一步排除。其余82种技术纳入本综述(73种设备自我监测PA,9种设备自我监测久坐时间)。在纳入的82种设备中,本综述未发现有已发表文章将这些设备用于自我监测PA和/或久坐行为的目的;然而,通过互联网搜索发现了一些符合自我监测标准并能提供PA即时反馈(ActiGraph Link、Microsoft Band和Garmin Vivofit)以及久坐时间即时反馈(activPAL VT、Lumo Back和Darma)的技术。
有大量自我监测PA的设备;然而,更需要开发自我监测久坐时间的工具。这些设备的新颖性意味着它们尚未用于行为改变干预,尽管不断发展的可穿戴技术领域可能有助于实现这种改变。