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一款用于测量身体活动的智能手机应用程序的可靠性。

Reliability of a smartphone application to measure physical activity.

作者信息

Caputo Eduardo L, Feter Natan, Alberton Cristine L, Leite Jayne S, Rodrigues Alysson N, Dumith Samuel de C, Silva Marcelo C da

机构信息

Postgraduate Program in Physical Education, Federal University of Pelotas, Pelotas, Brazil.

Postgraduate Program in Public Health, Federal University of Rio Grande, Rio Grande, Brazil.

出版信息

Res Sports Med. 2022 May-Jun;30(3):264-271. doi: 10.1080/15438627.2021.1899919. Epub 2021 Mar 14.

DOI:10.1080/15438627.2021.1899919
PMID:33719802
Abstract

The aim of this study was to evaluate how accurate is a smartphone app to measure a physical activity parameter (steps). Physical Education undergraduate students (n = 46), both male and female, were recruited. A tally counter, a validated device (Xiaomi Mi Band 2®) and My Active Life app were used to perform the steps count. Each participant took three low-intensity treadmill walks (5 km h), with a number of target steps (500-, 1000- and 1500-steps walk). Visual agreement analyses was performed through Bland-Altman plots. There was no significant interaction between steps walks and device during treadmill walking test ( = 3.854; = 0.07). Differences in steps measured by Mi Band were not different from 0 in 500-steps walk ( = 0.243) and 1000-steps walk ( = 0.350), and in My Active Life in 500-steps walk ( = 0.177) and 1500-steps walk ( = 0.221). Bland-Altman analyses indicated an acceptable agreement between My active Life app and Mi Band devices for 1000-steps walk (-359.01; 310.43) and 1500-steps walk (-572.97; 377.11). In conclusion, My Active Life app showed accuracy in measuring total steps, in longer walking activities (e.g. higher than 1000 steps), and can be used on a daily basis and in research setting.

摘要

本研究的目的是评估一款智能手机应用程序测量身体活动参数(步数)的准确性。招募了体育专业本科学生(n = 46),男女皆有。使用计数器、经过验证的设备(小米手环2®)和“我的活跃生活”应用程序进行步数计数。每位参与者进行了三次低强度跑步机步行(5公里/小时),设定了不同的目标步数(500步、1000步和1500步步行)。通过布兰德-奥特曼图进行视觉一致性分析。在跑步机步行测试期间,步数与设备之间没有显著交互作用(F = 3.854;P = 0.07)。在500步步行(P = 0.243)和1000步步行(P = 0.350)中,小米手环测量的步数与0没有差异,在500步步行(P = 0.177)和1500步步行(P = 0.221)中,“我的活跃生活”应用程序测量的步数与0也没有差异。布兰德-奥特曼分析表明,对于1000步步行(-359.01;310.43)和1500步步行(-572.97;377.11),“我的活跃生活”应用程序与小米手环设备之间的一致性可以接受。总之,“我的活跃生活”应用程序在测量较长步行活动(例如超过1000步)的总步数时显示出准确性,可用于日常和研究环境。

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