追踪身体活动和久坐行为的智能手机应用:一项标准有效性评估

R. C. R. Prado, M. Knebel, E. H. Ribeiro, I. P. Teixeira, J. Sasaki, Luciano Vieira de Araújo, P. H. Guerra, A. Florindo
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引用次数: 1

摘要

智能手机应用程序已经开发出来,并在验证研究中进行了调查,用于跟踪人类行为,如身体活动(PA)和久坐行为(SB)。然而,与研究级加速度计相比,这些应用程序是否有效用于跟踪PA和SB尚不清楚,因此,本系统综述旨在以加速度计作为标准测量来调查智能手机应用程序跟踪PA和SB的有效性。系统检索PubMed、Web of Science、SportDiscus和Scopus数据库。采用平均百分比差(MPD)评价标准效度。10项研究(n = 662)验证了使用ActiGraph加速度计作为标准测量的不同应用程序(6项在自由生活条件下进行,2项在实验室条件下进行,2项在两种条件下进行),用于分析。虽然有四个应用程序被认为可以有效地跟踪PA,但有六个应用程序无效或完全有效。MPD分析显示,应用程序没有提供跟踪PA措施的有效分数(MPD = -12.6 - 37.7)。调查SB的研究的稀缺性限制了对这一行为结果的跟踪。研究设计、智能手机位置和运动强度倾向于影响应用程序跟踪PA的准确性;因此,目前的综述显示研究结果相互矛盾。这篇评论表明,不可能将所有应用的有效分数一概而论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smartphone apps for tracking physical activity and sedentary behavior: A criterion validity review
Smartphone apps have been developed and investigated in validation studies for tracking human behavior such as physical activity (PA) and sedentary behavior (SB). However, as it is unclear whether these apps are valid for tracking PA and SB when compared to research-grade accelerometers, thus, this systematic review aimed to investigate the validity of smartphone apps for tracking PA and SB using the accelerometer as a criterion measure. A systematic search was conducted in PubMed, Web of Science, SportDiscus, and Scopus databases. The mean percentage difference (MPD) was used to evaluate criterion validity. Ten studies (n = 662) validating different apps using ActiGraph accelerometers as criteria measure (six were conducted in free-living conditions, two in laboratory conditions, and two in both conditions) were included for analyses. While four apps were considered valid for tracking PA, six were not valid or fully valid. The MPD analysis revealed that apps provide no valid scores for tracking PA measures (MPD = -12.6 – 37.7). The scarcity of studies investigating SB limits the tracking of the results on this behavior. Study designs, smartphone location, and exercise intensity tend to affect the accuracy of apps tracking PA; thus, the current review showed conflicting results among studies. This review shows that it is not possible to generalize the valid scores for all apps.
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