Department of Physical Education and Sport, University of Granada, Granada, Spain.
Department of Didactic of Musical, Plastic and Corporal Expression, University of Valladolid, Valladolid, Spain.
J Sports Sci Med. 2022 Sep 1;21(3):356-375. doi: 10.52082/jssm.2022.356. eCollection 2022 Sep.
The purpose was to examine the validity of three wrist-worn commercial activity trackers (Samsung Galaxy Watch Active 2, Apple Watch Series 5, and Xiaomi Mi Band 5) and six mobile apps (Pedometer and Pacer for android and iPhone mobiles, Google Fit for android, and Apple Health for iPhone mobiles) for estimating high school students' steps and physical activity (PA) under free-living conditions. A sample of 56 (27 females; mean age = 14.7 years) and 51 (25 females; mean age = 14.0 years) high school students participated in Study 1 and 2, respectively. Study 1: Students performed a 200-meter course in four different conditions while wearing the wearables. Step counting through a video record was used as the golden standard. Study 2: Students wore the three wrist-worn commercial activity trackers during the waking time of one day, considering ActiGraph model wGT3X-BT accelerometers as a standard of reference. Afterward, the agreement between the PA scores measured by the commercial activity trackers and the video (study 1) or accelerometers (study 2) were calculated as follows: Equivalence test, Limits of Agreement (LOA); Mean Absolute Error (MAE); Mean Absolute Percentage Error (MAPE); and Intraclass Correlation Coefficient (ICC). Results showed that all the wearables presented excellent validity for assessing steps in structured free-living conditions (study 1; MAPE < 5%), although their validity was between poor-excellent based on ICC (95% confidence interval) values (ICC = 0.56-1.00). Regarding Study 2, the Xiaomi wristband and the Samsung Watch presented acceptable-excellent (MAPE = 9.4-11.4%; ICC = 0.91-0.97) validity for assessing steps under unstructured free-living conditions (study 2). However, the Apple Watch presented questionable-excellent validity (MAPE = 18.0%; ICC = 0.69-0.95). Regarding moderate-to-vigorous PA (MVPA) and total PA, only the Apple Watch showed low-acceptable validity for MAPE value and questionable-excellent validity for the ICC values for MVPA assessment (MAPE = 22.6; ICC = 0.67-0.93). All wearables checked in this study have shown adequate validity results in order to assess steps in both structured and unstructured free-living conditions for both continuous and dichotomous variables. Moreover, for assessing MVPA, only the Apple Watch reported valid results for compliance or non-compliance with the daily PA recommendations. However, the results showed low validity for total PA and MVPA as continuous variables. In conclusion, depending on the user's/researcher's aim and context, one or another wearable activity tracker could be more adequate, mainly because of its valid measurements and its costs.
本研究旨在检验三款腕戴式商用活动追踪器(三星 Galaxy Watch Active 2、苹果 Apple Watch Series 5 和小米小米手环 5)和六款手机应用程序(安卓系统的 Pedometer 和 Pacer、iPhone 手机的 Google Fit,以及 iPhone 手机的 Apple Health)在自由活动条件下估算高中生步数和身体活动(PA)的有效性。共有 56 名(女性 27 名;平均年龄=14.7 岁)和 51 名(女性 25 名;平均年龄=14.0 岁)高中生分别参加了研究 1 和研究 2。
研究 1:学生在佩戴可穿戴设备的情况下,在四种不同条件下进行 200 米的课程。通过视频记录来计算步数,作为金标准。
研究 2:学生在一天的清醒时间内佩戴三款腕戴式商用活动追踪器,同时将 ActiGraph 模型 wGT3X-BT 加速度计作为参考标准。之后,通过以下方式计算通过商用活动追踪器和视频(研究 1)或加速度计(研究 2)测量的 PA 分数之间的一致性:等价性检验、界限协议(LOA);平均绝对误差(MAE);平均绝对百分比误差(MAPE);和组内相关系数(ICC)。结果表明,所有可穿戴设备在结构化的自由活动条件下评估步数均具有极好的有效性(研究 1;MAPE < 5%),尽管其有效性基于 ICC(95%置信区间)值(ICC=0.56-1.00)存在差异。关于研究 2,小米手环和三星手表在评估非结构化自由活动条件下的步数时,具有可接受-极好的有效性(MAPE=9.4-11.4%;ICC=0.91-0.97)。然而,苹果手表的有效性则存在疑问-极好(MAPE=18.0%;ICC=0.69-0.95)。关于中等至剧烈 PA(MVPA)和总 PA,仅苹果手表的 MAPE 值和 MVPA 评估的 ICC 值显示出低-可接受的有效性和有疑问-极好的有效性(MAPE=22.6;ICC=0.67-0.93)。
本研究中检查的所有可穿戴设备在评估结构化和非结构化自由活动条件下的连续和二分变量的步数时,均具有足够的有效性结果。此外,对于评估 MVPA,只有苹果手表报告了对日常 PA 建议的依从性或不依从性的有效结果。然而,结果表明总 PA 和 MVPA 作为连续变量的有效性较低。
总之,根据用户/研究人员的目的和背景,可以选择更合适的一款腕戴式活动追踪器,主要是因为其准确的测量值及其成本。