Validation study of Polar V800 accelerometer
Open accessAbstract
BACKGROUND: The correct quantification of physical activity (PA) and energy expenditure (EE) in daily life is an important target for researchers and professionals. The objective of this paper is to study the validity of the Polar V800 for the quantification of PA and the estimation of EE against the ActiGraph (ActiTrainer) in healthy young adults. METHODS: Eighteen Caucasian active people (50% women) aged between 19-23 years wore an ActiTrainer on the right hip and a Polar V800 on the preferred wrist during 7 days. Paired samples t-tests were used to analyze differences in outcomes between devices, and Pearson's correlation coefficients to examine the correlation between outcomes. The agreement was studied using the Bland-Altman method. Also, the association between the difference and the magnitude of the measurement (heteroscedasticity) was examined. Sensitivity, specificity and area under the receiver operating characteristic curve (ROC-AUC value) were calculated to evaluate the ability of the devices to accurately define a person who fulfills the recommendation of 10,000 daily steps. RESULTS: The devices significantly differed from each other on all outcomes (P<0.05), except for Polar V800's alerts vs. ActiTrainer's 1 hour sedentary bouts (P=0.595) and Polar V800's walking time vs. ActiTrainer's lifestyle time (P=0.484). Heteroscedasticity analyses were significant for all outcomes, except for Kcal and sitting time. The ROC-AUC value was fair (0.781±0.048) and the sensitivity and specificity was 98% and 58%, respectively. CONCLUSIONS: The Polar V800 accelerometer has a comparable validity to the accelerometer in free-living conditions, regarding "1 hour sedentary bouts" and "V800's walking time vs. ActiTrainer's lifestyle time" in young adults.
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Nine studies (22 comparisons) examined energy expenditure in free-living settings compared with doubly labeled water and accelerometry.
“Nine studies (22 comparisons) examined energy expenditure in free-living settings compared with the criterion measures of doubly labeled water [104] and accelerometry [29,49,79,101,131,172,174,175].”
From Reliability and Validity of Commercially Available Wearable Devices for Measuring Steps, Energy Expenditure, and Heart Rate: Systematic Review (2020) · cites this paper as [174]
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- Authors
- Hernández-Vicente, A., Santos-Lozano, A., De Cocker, K., & Garatachea, N.
- Affiliations
- Universidad de Zaragoza (ES)
- ORCID
- Garatachea, Nuria
- Venue
- Annals of Translational Medicine
- Publisher
- AME Publishing Company
- Published
- 2016-08
- Volume
- 4
- Issue
- 15
- Pages
- 278-278
- ISSN
- 2305-5839 (ISSN-L)
- 2305-5847
- PMC
- PMC4980380
- OpenAlex
- W2505869723
- Cited by
- 23
- References
- 64
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 3 · 2022: 6 · 2021: 3 · 2020: 5 · 2019: 2 · 2018: 2
- FWCI
- 1.07
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- Annals of Translational Medicine (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (publishedVersion, cc-by-nc-nd)
- University of Southern Queensland ePrints (University of Southern Queensland) (acceptedVersion)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, other-oa)
- Zaguan (Universidad de Zaragoza) (submittedVersion, cc-by-nc-nd)
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- accelerometer validation, physical activity measurement, energy expenditure estimation, wrist-worn accelerometers, hip-worn accelerometers, sedentary behavior, young adults, free-living activity monitoring
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