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Validity of Wrist-Wearable Activity Devices for Estimating Physical Activity in Adolescents: Comparative Study

BACKGROUND: The rapid advancements in science and technology of wrist-wearable activity devices offer considerable potential for clinical applications. Self-monitoring of physical activity (PA) with activity devices is helpful to improve the PA levels of adolescents. However, knowing the accuracy of...

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Autores principales: Hao, Yingying, Ma, Xiao-Kai, Zhu, Zheng, Cao, Zhen-Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7819784/
https://www.ncbi.nlm.nih.gov/pubmed/33410757
http://dx.doi.org/10.2196/18320
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author Hao, Yingying
Ma, Xiao-Kai
Zhu, Zheng
Cao, Zhen-Bo
author_facet Hao, Yingying
Ma, Xiao-Kai
Zhu, Zheng
Cao, Zhen-Bo
author_sort Hao, Yingying
collection PubMed
description BACKGROUND: The rapid advancements in science and technology of wrist-wearable activity devices offer considerable potential for clinical applications. Self-monitoring of physical activity (PA) with activity devices is helpful to improve the PA levels of adolescents. However, knowing the accuracy of activity devices in adolescents is necessary to identify current levels of PA and assess the effectiveness of intervention programs designed to increase PA. OBJECTIVE: The study aimed to determine the validity of the 11 commercially available wrist-wearable activity devices for monitoring total steps and total 24-hour total energy expenditure (TEE) in healthy adolescents under simulated free-living conditions. METHODS: Nineteen (10 male and 9 female) participants aged 14 to 18 years performed a 24-hour activity cycle in a metabolic chamber. Each participant simultaneously wore 11 commercial wrist-wearable activity devices (Mi Band 2 [XiaoMi], B2 [Huawei], Bong 2s [Meizu], Amazfit [Huamei], Flex [Fitbit], UP3 [Jawbone], Shine 2 [Misfit], GOLiFE Care-X [GoYourLife], Pulse O2 [Withings], Vivofit [Garmin], and Loop [Polar Electro]) and one research-based triaxial accelerometer (GT3X+ [ActiGraph]). Criterion measures were total EE from the metabolic chamber (mcTEE) and total steps from the GT3X+ (AGsteps). RESULTS: Pearson correlation coefficients r for 24-hour TEE ranged from .78 (Shine 2, Amazfit) to .96 (Loop) and for steps ranged from 0.20 (GOLiFE) to 0.57 (Vivofit). Mean absolute percent error (MAPE) for TEE ranged from 5.7% (Mi Band 2) to 26.4% (Amazfit) and for steps ranged from 14.2% (Bong 2s) to 27.6% (Loop). TEE estimates from the Mi Band 2, UP3, Vivofit, and Bong 2s were equivalent to mcTEE. Total steps from the Bong 2s were equivalent to AGsteps. CONCLUSIONS: Overall, the Bong 2s had the best accuracy for estimating TEE and total steps under simulated free-living conditions. Further research is needed to examine the validity of these devices in different types of physical activities under real-world conditions.
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spelling pubmed-78197842021-01-26 Validity of Wrist-Wearable Activity Devices for Estimating Physical Activity in Adolescents: Comparative Study Hao, Yingying Ma, Xiao-Kai Zhu, Zheng Cao, Zhen-Bo JMIR Mhealth Uhealth Original Paper BACKGROUND: The rapid advancements in science and technology of wrist-wearable activity devices offer considerable potential for clinical applications. Self-monitoring of physical activity (PA) with activity devices is helpful to improve the PA levels of adolescents. However, knowing the accuracy of activity devices in adolescents is necessary to identify current levels of PA and assess the effectiveness of intervention programs designed to increase PA. OBJECTIVE: The study aimed to determine the validity of the 11 commercially available wrist-wearable activity devices for monitoring total steps and total 24-hour total energy expenditure (TEE) in healthy adolescents under simulated free-living conditions. METHODS: Nineteen (10 male and 9 female) participants aged 14 to 18 years performed a 24-hour activity cycle in a metabolic chamber. Each participant simultaneously wore 11 commercial wrist-wearable activity devices (Mi Band 2 [XiaoMi], B2 [Huawei], Bong 2s [Meizu], Amazfit [Huamei], Flex [Fitbit], UP3 [Jawbone], Shine 2 [Misfit], GOLiFE Care-X [GoYourLife], Pulse O2 [Withings], Vivofit [Garmin], and Loop [Polar Electro]) and one research-based triaxial accelerometer (GT3X+ [ActiGraph]). Criterion measures were total EE from the metabolic chamber (mcTEE) and total steps from the GT3X+ (AGsteps). RESULTS: Pearson correlation coefficients r for 24-hour TEE ranged from .78 (Shine 2, Amazfit) to .96 (Loop) and for steps ranged from 0.20 (GOLiFE) to 0.57 (Vivofit). Mean absolute percent error (MAPE) for TEE ranged from 5.7% (Mi Band 2) to 26.4% (Amazfit) and for steps ranged from 14.2% (Bong 2s) to 27.6% (Loop). TEE estimates from the Mi Band 2, UP3, Vivofit, and Bong 2s were equivalent to mcTEE. Total steps from the Bong 2s were equivalent to AGsteps. CONCLUSIONS: Overall, the Bong 2s had the best accuracy for estimating TEE and total steps under simulated free-living conditions. Further research is needed to examine the validity of these devices in different types of physical activities under real-world conditions. JMIR Publications 2021-01-07 /pmc/articles/PMC7819784/ /pubmed/33410757 http://dx.doi.org/10.2196/18320 Text en ©Yingying Hao, Xiao-Kai Ma, Zheng Zhu, Zhen-Bo Cao. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 07.01.2021. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Hao, Yingying
Ma, Xiao-Kai
Zhu, Zheng
Cao, Zhen-Bo
Validity of Wrist-Wearable Activity Devices for Estimating Physical Activity in Adolescents: Comparative Study
title Validity of Wrist-Wearable Activity Devices for Estimating Physical Activity in Adolescents: Comparative Study
title_full Validity of Wrist-Wearable Activity Devices for Estimating Physical Activity in Adolescents: Comparative Study
title_fullStr Validity of Wrist-Wearable Activity Devices for Estimating Physical Activity in Adolescents: Comparative Study
title_full_unstemmed Validity of Wrist-Wearable Activity Devices for Estimating Physical Activity in Adolescents: Comparative Study
title_short Validity of Wrist-Wearable Activity Devices for Estimating Physical Activity in Adolescents: Comparative Study
title_sort validity of wrist-wearable activity devices for estimating physical activity in adolescents: comparative study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7819784/
https://www.ncbi.nlm.nih.gov/pubmed/33410757
http://dx.doi.org/10.2196/18320
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