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

Seoungki Kang, Youngdeok Kim, Wonwoo Byun, JinSu Suk and Jung-Min Lee
Additional contact information
Seoungki Kang: Graduate School of Education, Yongin Univerisity, 134 Yongindaehak-ro, cheoin-gu, Yongin-si 449-714, Korea
Youngdeok Kim: Department of Kinesiology and Health Sciences, Virginia Commonwealth University, Richmond, VA 23284, USA
Wonwoo Byun: Department of Health, Kinesiology, and Recreation, University of Utah, 250 S 1850 E (HPER North), Room 205, Salt Lake City, UT 84108, USA
JinSu Suk: Graduate School of Education, Yongin Univerisity, 134 Yongindaehak-ro, cheoin-gu, Yongin-si 449-714, Korea
Jung-Min Lee: Department of Physical Education, College of Physical Education, Kyung Hee University, 1732 Deogyeong-daero, Giheung-Gu, Yongin-si 17104, Korea

IJERPH, 2019, vol. 16, issue 15, 1-11

Abstract: Introduction: 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. Methods: 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. Results: 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’s algorithm from the non-dominant wrist. Crouter’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. Conclusion: 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.

Keywords: accelerometer; Fitbit; physical activity classification (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/16/15/2663/pdf (application/pdf)
https://www.mdpi.com/1660-4601/16/15/2663/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:16:y:2019:i:15:p:2663-:d:251656

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().