Department of Physiotherapy, College of Health Sciences, University of Sharjah, P.O. Box: 27272, Sharjah, United Arab Emirates; Neuromusculoskeletal Rehabilitation Research Group, RIMHS - Research Institute of Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates; Sustainable Engineering Asset Management Research Group, RISE - Research Institute of Sciences and Engineering, University of Sharjah, P.O.Box: 27272, Sharjah, United Arab Emirates; Adjunct Faculty, Department of Physiotherapy, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Department of Physiotherapy, College of Health Sciences, University of Sharjah, P.O. Box: 27272, Sharjah, United Arab Emirates.
Diabetes Metab Syndr. 2021 Nov-Dec;15(6):102301. doi: 10.1016/j.dsx.2021.102301. Epub 2021 Sep 25.
Smartphone applications (e.g., Google Fit) may be a good alternative tool for accelerometers in estimating energy expenditure of physical activities because they are affordable, easy to use, and freely downloadable on smartphones. We aimed to determine the concurrent validity of the Fibion and Google Fit for measuring energy expenditure of functional tasks in healthy individuals.
In this cross-sectional study, 28 healthy individuals (21.25 ± 1.84 years) performed certain tasks (lying, standing, 6-min walk test, treadmill walking, stair climbing and cycling) for ∼90 min, while wearing a Fibion accelerometer on their thigh and having the Google Fit application in a smartphone placed in their trouser pocket. Concurrent validity between the energy expenditure data of the Google Fit and Fibion was assessed using the Spearman rho correlation coefficient (data were not normally distributed), Bland-Altman plots and linear regression.
Neither energy expenditure for the whole duration nor for the tasks, except sitting + treadmill walking (r = 0.419, p = 0.027), showed significant correlations between the Google Fit and Fibion measurements. A proportional bias was evident for almost all comparisons.
The Google Fit did not provide valid energy expenditure measurements compared to the Fibion for most of the investigated tasks in healthy individuals.
智能手机应用程序(例如 Google Fit)可能是估算身体活动能量消耗的加速度计的良好替代工具,因为它们价格实惠、易于使用,并且可以在智能手机上免费下载。我们旨在确定 Fibion 和 Google Fit 在测量健康个体功能任务能量消耗方面的同时效度。
在这项横断面研究中,28 名健康个体(21.25±1.84 岁)在大腿上佩戴 Fibion 加速度计并将 Google Fit 应用程序放在裤袋中的智能手机上,进行了大约 90 分钟的某些任务(躺卧、站立、6 分钟步行测试、跑步机步行、爬楼梯和骑自行车)。使用 Spearman rho 相关系数(数据未呈正态分布)、Bland-Altman 图和线性回归评估 Google Fit 和 Fibion 的能量消耗数据之间的同时效度。
除了坐姿+跑步机步行(r=0.419,p=0.027)之外,Google Fit 和 Fibion 的测量值之间在整个持续时间和任务的能量消耗均未显示出显著相关性。几乎所有比较都存在比例偏差。
与 Fibion 相比,Google Fit 对健康个体的大多数研究任务均未提供有效的能量消耗测量值。