Comparison of a Wearable Tracker with Actigraph for Classifying Physical Activity Intensity and Heart Rate in Children

<i>Introduction:</i> To examine the validity and reliability of the Fitbit Charge HR (FCH), wrist-worn ActiGraph (AG) accelerometers were used for assessing the classification of physical activity (PA) into intensity categories in children. <i>Methods:</i> Forty-three childre...

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Main Authors: Seoungki Kang, Youngdeok Kim, Wonwoo Byun, JinSu Suk, Jung-Min Lee
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:International Journal of Environmental Research and Public Health
Subjects:
Online Access:https://www.mdpi.com/1660-4601/16/15/2663
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spelling doaj-a3d0f15ecc924a40ad4bee56a963fa772020-11-24T21:29:50ZengMDPI AGInternational Journal of Environmental Research and Public Health1660-46012019-07-011615266310.3390/ijerph16152663ijerph16152663Comparison of a Wearable Tracker with Actigraph for Classifying Physical Activity Intensity and Heart Rate in ChildrenSeoungki Kang0Youngdeok Kim1Wonwoo Byun2JinSu Suk3Jung-Min Lee4Graduate School of Education, Yongin Univerisity, 134 Yongindaehak-ro, cheoin-gu, Yongin-si 449-714, KoreaDepartment of Kinesiology and Health Sciences, Virginia Commonwealth University, Richmond, VA 23284, USADepartment of Health, Kinesiology, and Recreation, University of Utah, 250 S 1850 E (HPER North), Room 205, Salt Lake City, UT 84108, USAGraduate School of Education, Yongin Univerisity, 134 Yongindaehak-ro, cheoin-gu, Yongin-si 449-714, KoreaDepartment of Physical Education, College of Physical Education, Kyung Hee University, 1732 Deogyeong-daero, Giheung-Gu, Yongin-si 17104, Korea<i>Introduction:</i> To examine the validity and reliability of the Fitbit Charge HR (FCH), wrist-worn ActiGraph (AG) accelerometers were used for assessing the classification of physical activity (PA) into intensity categories in children. <i>Methods:</i> Forty-three children (n = 43) participated in the study. Each participant completed 3 min bouts of 12 PAs ranging from sedentary to vigorous intensity while simultaneously wearing FCH and AG on both hands, a Polar HR monitor, and a portable indirect calorimeter. Total time spent in different PA intensity levels measured by FCH and AG were compared to the indirect calorimetry. <i>Results:</i> The highest classification accuracy values of sedentary behavior was 81.1% for FCH. The highest classification (72.4%) of light intensity PA was observed with Crouter&#8217;s algorithm from the non-dominant wrist. Crouter&#8217;s algorithm also show the highest classification (81.8%) for assessing moderate to vigorous intensity PA compared to FCH (70.8%). Across the devices, a high degree of reliability was found in step measurements, ranging from an intra-class correlation (ICC) = 0.92 to an ICC = 0.94. The reliability of the AG and the FCH showed high agreement for each variable. <i>Conclusion:</i> The FCH shows better validity for estimating sedentary behavior and similar validity for assessing moderate to vigorous PA compared to the research-grade monitor. Across the devices, the reliability showed the strongest association.https://www.mdpi.com/1660-4601/16/15/2663accelerometerFitbitphysical activity classification
collection DOAJ
language English
format Article
sources DOAJ
author Seoungki Kang
Youngdeok Kim
Wonwoo Byun
JinSu Suk
Jung-Min Lee
spellingShingle Seoungki Kang
Youngdeok Kim
Wonwoo Byun
JinSu Suk
Jung-Min Lee
Comparison of a Wearable Tracker with Actigraph for Classifying Physical Activity Intensity and Heart Rate in Children
International Journal of Environmental Research and Public Health
accelerometer
Fitbit
physical activity classification
author_facet Seoungki Kang
Youngdeok Kim
Wonwoo Byun
JinSu Suk
Jung-Min Lee
author_sort Seoungki Kang
title Comparison of a Wearable Tracker with Actigraph for Classifying Physical Activity Intensity and Heart Rate in Children
title_short Comparison of a Wearable Tracker with Actigraph for Classifying Physical Activity Intensity and Heart Rate in Children
title_full Comparison of a Wearable Tracker with Actigraph for Classifying Physical Activity Intensity and Heart Rate in Children
title_fullStr Comparison of a Wearable Tracker with Actigraph for Classifying Physical Activity Intensity and Heart Rate in Children
title_full_unstemmed Comparison of a Wearable Tracker with Actigraph for Classifying Physical Activity Intensity and Heart Rate in Children
title_sort comparison of a wearable tracker with actigraph for classifying physical activity intensity and heart rate in children
publisher MDPI AG
series International Journal of Environmental Research and Public Health
issn 1660-4601
publishDate 2019-07-01
description <i>Introduction:</i> To examine the validity and reliability of the Fitbit Charge HR (FCH), wrist-worn ActiGraph (AG) accelerometers were used for assessing the classification of physical activity (PA) into intensity categories in children. <i>Methods:</i> Forty-three children (n = 43) participated in the study. Each participant completed 3 min bouts of 12 PAs ranging from sedentary to vigorous intensity while simultaneously wearing FCH and AG on both hands, a Polar HR monitor, and a portable indirect calorimeter. Total time spent in different PA intensity levels measured by FCH and AG were compared to the indirect calorimetry. <i>Results:</i> The highest classification accuracy values of sedentary behavior was 81.1% for FCH. The highest classification (72.4%) of light intensity PA was observed with Crouter&#8217;s algorithm from the non-dominant wrist. Crouter&#8217;s algorithm also show the highest classification (81.8%) for assessing moderate to vigorous intensity PA compared to FCH (70.8%). Across the devices, a high degree of reliability was found in step measurements, ranging from an intra-class correlation (ICC) = 0.92 to an ICC = 0.94. The reliability of the AG and the FCH showed high agreement for each variable. <i>Conclusion:</i> The FCH shows better validity for estimating sedentary behavior and similar validity for assessing moderate to vigorous PA compared to the research-grade monitor. Across the devices, the reliability showed the strongest association.
topic accelerometer
Fitbit
physical activity classification
url https://www.mdpi.com/1660-4601/16/15/2663
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