How Accurate Is Your Activity Tracker? A Comparative Study of Step Counts in Low-Intensity Physical Activities
How Accurate Is Your Activity Tracker? A Comparative Study of Step Counts in Low-Intensity Physical Activities
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DOI：
10.2196/mhealth.6321
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发表时间：
2017-08-01
影响因子：
5
通讯作者：
Ghasemzadeh, Hassan
中科院分区：
文献类型：
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作者：
Alinia, Parastoo;Cain, Chris;Ghasemzadeh, Hassan
背景资料：由于商业活动跟踪器正在临床试验中使用，研究界仍然不确定跟踪器的可靠性，特别是在涉及助行器和低强度活动的研究中。虽然这些追踪器已经在步行和跑步活动中进行了可靠性测试，但在低强度活动和使用辅助工具行走时验证它们的研究有限。目的：本研究的目的是（1）确定3个Fitbit设备的准确性（即Zip、One和Flex）在不同佩戴位置（即裤子口袋，胸部和手腕）在3个不同的速度，2.5，5和8公里/小时，由健康的成年人在跑步机上进行步行;（2）确定在日常生活活动中在不同部位佩戴所述跟踪器的准确性;（3）检查身体活动强度（PA）是否影响跟踪器最佳佩戴部位的选择。我们招募了15名健康的年轻人，在他们的胸部，裤子口袋和手腕上佩戴3个Fitbit设备（即Zip，One和Flex）时进行6次PA。活动包括以2.5、5和8 km/h的速度行走、推购物车、借助步行者行走以及坐着吃饭。我们将每个跟踪器计数的步数与黄金标准数进行了比较。我们进行了多重统计分析，计算描述性统计量（即，方差分析检验），组内相关系数（ICC），平均绝对误差率，并通过比较跟踪器记录的数据与金标准的相关性。相关性较差（ICC
Background: As commercially available activity trackers are being utilized in clinical trials, the research community remains uncertain about reliability of the trackers, particularly in studies that involve walking aids and low-intensity activities. While these trackers have been tested for reliability during walking and running activities, there has been limited research on validating them during low-intensity activities and walking with assistive tools.Objective: The aim of this study was to (1) determine the accuracy of 3 Fitbit devices (ie, Zip, One, and Flex) at different wearing positions (ie, pants pocket, chest, and wrist) during walking at 3 different speeds, 2.5, 5, and 8 km/h, performed by healthy adults on a treadmill; (2) determine the accuracy of the mentioned trackers worn at different sites during activities of daily living; and (3) examine whether intensity of physical activity (PA) impacts the choice of optimal wearing site of the tracker.Methods: We recruited 15 healthy young adults to perform 6 PAs while wearing 3 Fitbit devices (ie, Zip, One, and Flex) on their chest, pants pocket, and wrist. The activities include walking at 2.5, 5, and 8 km/h, pushing a shopping cart, walking with aid of a walker, and eating while sitting. We compared the number of steps counted by each tracker with gold standard numbers. We performed multiple statistical analyses to compute descriptive statistics (ie, ANOVA test), intraclass correlation coefficient (ICC), mean absolute error rate, and correlation by comparing the tracker-recorded data with that of the gold standard.Results: All the 3 trackers demonstrated good-to-excellent (ICC>0.75) correlation with the gold standard step counts during treadmill experiments. The correlation was poor (ICC