Accuracy of steps measured by smartphones-based WeRun compared with ActiGraph-GT3X accelerometer in free-living conditions.
Accuracy of steps measured by smartphones-based WeRun compared with ActiGraph-GT3X accelerometer in free-living conditions.
复制标题
在自由生活条件下，与Actigraph-GT3X加速度计相比，基于智能手机的WERUN测量的步骤的准确性。
DOI：
10.3389/fpubh.2022.1009022
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发表时间：
2022
影响因子：
5.2
通讯作者：
Jia, Yingnan
中科院分区：
文献类型：
--
作者：
Yao, Qinqin;Wang, Jing;Sun, Yucong;Zhang, Li;Sun, Shuangyuan;Cheng, Minna;Yang, Qinping;Wang, Siyuan;Huang, Ling;Lin, Tao;Jia, Yingnan
关键词：
本研究的目的是评估基于智能手机的微信APP和Actigraph-GT3X加速度计在自由生活条件下跟踪步数的准确性和可靠性。横断面研究和重复测量。上海浦东新区的103名员工中国参与了这项研究。参与者在2019年8月至9月(时间1)、2019年12月(时间2)和2020年9月(时间3)期间佩戴了Actigraph-GT3X加速度计。每一次，他们都连续佩戴Actigraph-GT3X加速度计7天来评估他们的7天步数。基于智能手机的WeRun步数是在受试者佩戴加速计的相应时期收集的。受试者被邀请填写基本人口学特征问卷并进行体检，以获得与健康相关的结果，如身高、体重、体脂百分比、腰围、臀围和血压。基于103名参与者21天的数据，我们发现他们之间的Spearman相关系数为0.733(P<；0.01)。智能手机测量的WeRun步数平均为每天8975步(4059步)，高于加速计测量的(每天8462±3486步，P<；0.01)。人口统计特征和不同的条件会影响测量的一致性。在男性、年龄较大、硕士及以上学历、步行旅行的人中，一致性较高。智能手机和加速度计在工作日和8月测量的步数显示出比其他工作条件和时间更强的相关性。步数的平均绝对误差(MAPE)为0.5%~15.9%。WeRun Steps的重测信度系数在0.392~0.646之间。调整了年龄、性别和在时间1期间测量的MVPA/步数的多元回归分析表明，身体成分(体重、BMI、体脂百分比、腰围和臀围)与中等强度到剧烈的体力活动相关，但与WeRun步数无关。基于智能手机的微信应用可以用来评估身体活动的步数，是在自由生活条件下测量步数的可靠工具。然而，WeRun步数在预测身体成分方面的应用可能受到限制。
The purpose of this study was to evaluate the accuracy and reliability of steps tracked by smartphone-based WeChat app compared with Actigraph-GT3X accelerometer in free-living conditions. A cross-sectional study and repeated measures. A total of 103 employees in the Pudong New Area of Shanghai, China, participated in this study. The participants wore an ActiGraph-GT3X accelerometer during the period of August to September 2019 (Time 1), December 2019 (Time 2) and September 2020 (Time 3). Each time, they wore the ActiGraph-GT3X accelerometer continuously for 7 days to assess their 7-day step counts. The smartphone-based WeRun step counts were collected in the corresponding period when subjects wore accelerometers. The subjects were invited to complete basic demographic characteristics questionnaires and to perform physical examination to obtain health-related results such as height, body weight, body fat percentage, waist circumference, hip circumference, and blood pressure. Based on 103 participants' 21 days of data, we found that the Spearman correlation coefficient between them was 0.733 (P < 0.01). The average number of WeRun steps measured by smartphones was 8,975 (4,059) per day, which was higher than those measured by accelerometers (8,462 ± 3,486 per day, P < 0.01). Demographic characteristics and different conditions can affect the consistency of measurements. The consistency was higher in those who were male, older, master's degree and above educated, and traveled by walking. Steps measured by smartphone and accelerometer in working days and August showed stronger correlation than other working conditions and time. Mean absolute percent error (MAPE) for step counts ranged from 0.5 to 15.9%. The test-retest reliability coefficients of WeRun steps ranged from 0.392 to 0.646. A multiple regression analysis adjusted for age, gender, and MVPA/step counts measured during Time 1 showed that body composition (body weight, BMI, body fat percentage, waist circumference, and hip circumference) was correlated with moderate-to-vigorous intensity physical activity, but it was not correlated with WeRun step counts. The smartphone-based WeChat app can be used to assess physical activity step counts and is a reliable tool for measuring steps in free-living conditions. However, WeRun step counts' utilization is potentially limited in predicting body composition.
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3.7
作者：
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通讯作者：
Ylvisåker E
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