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Authors thank Aliisa Hatten for the English revision. This study is part of the doctoral thesis of Carolina Casado-Robles, as well as of the WearFit project (Reference: B-SEJ-029-UGR18) , funded by the FEDER/Regional Government of Andalusia-Ministry of Economy and Knowledge. The ex-periments complied with the current laws of the country in which they were performed. The authors have no conflicts of interest to declare. The datasets generated and analyzed during the current study are not publicly available, but are available from the corresponding author who was an organizer of the study.

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ARE WRIST-WORN ACTIVITY TRACKERS AND MOBILE APPLICATIONS VALID FOR ASSESSING PHYSICAL ACTIVITY IN HIGH SCHOOL STUDENTS? WEARFIT STUDY

Publicado en:Journal of Sports Science and Medicine. 21 (3): 356-375 - 2022-07-21 21(3), DOI: 10.52082/jssm.2022.356

Autores: Viciana, Jesus; Casado-Robles, Carolina; Guijarro-Romero, Santiago; Mayorga-Vega, Daniel

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The purpose was to examine the validity of three wrist-worn com-mercial activity trackers (Samsung Galaxy Watch Active 2, Ap-ple 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: Stu-dents performed a 200-meter course in four different conditions while wearing the wearables. Step counting through a video rec-ord 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 ac-celerometers 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). Re-sults 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 val-ues for MVPA assessment (MAPE = 22.6; ICC = 0.67-0.93). All wearables checked in this study have shown adequate validity re-sults in order to assess steps in both structured and unstructured free-living conditions for both continuous and dichotomous vari-ables. Moreover, for assessing MVPA, only the Apple Watch re-ported valid results for compliance or non-compliance with the daily PA recommendations. However, the results showed low va-lidity for total PA and MVPA as continuous variables. In conclu-sion, 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.

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