Cited by 79Physical Activity and HealthContext-Aware Activity Recognition SystemsMobile Health and mHealth Applications

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

Concurrent Validity of Wearable Activity Trackers Under Free-Living Conditions

Brooke, Skyler M., An, Hyun-Sung, Kang, Seoung-Ki, Noble, John M., Berg, Kris E., Lee, Jung-Min·2017·Journal of Strength and Conditioning Research

Abstract

Brooke, SM, An, H-S, Kang, S-K, Noble, JM, Berg, KE, and Lee, J-M. Concurrent validity of wearable activity trackers under free-living conditions. J Strength Cond Res 31(4): 1097–1106, 2017—The purpose of this study is to evaluate the concurrent validity of wearable activity trackers in energy expenditure (EE) and sleep period time (SPT) under free-living conditions. Ninety-five (28.5 ± 9.8 years) healthy men ( n = 34) and women ( n = 61) participated in this study. The total EE and SPT were measured using 8 monitors: Nike+ FuelBand SE (NFB), Garmin VivoFit (VF), Misfit Shine (MF), Fitbit Flex (FF), Jawbone UP (JU), Polar Loop (PL), Fitbit Charge HR (FC), and SenseWear Armband Mini (SWA) (criterion measures: SWA for EE and a sleep log for SPT). The mean absolute percent error (MAPE) for EE was 13.0, 15.2, 15.5, 16.1, 16.2, 22.8, and 24.5% for PL, MF, FF, NFB, FC, JU, and VF, respectively. Mean absolute percent errors were calculated for SPT to be 4.0, 8.8, 10.2, 11.5, 12.9, 13.6, 17.5, and 21.61% for VF, FF, JU, FC, MF, SWA laying down, PL, and SWA, respectively. Concurrent validity was examined using equivalence testing on EE (equivalence zone: 2,889.7–3,531.9 kcal); 2 trackers fell short of falling in the zone: PL (2,714.4–3,164.8 kcal) and FC (2,473.8–3,066.5 kcal). For SPT (equivalence zone: 420.6–514.0 minutes), several monitors fell in the zone: PL (448.3–485.6 minutes), MS (442.8–492.2 minutes), and FF (427.7–486.7 minutes). This study suggests that the PL and FC provide a reasonable estimate of EE under free-living conditions. The PL, FC, and MF were the most valid monitors used for measuring SPT.

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Crossref · 10.1519/jsc.0000000000001571

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Research works printed but not linked: 2

  1. Danova, 2015, The Wearables Report: Growth trends, consumer attitudes, and why smartwatches will dominate, Business Insider, 21
  2. Llamas, IDC worldwide quarterly mobile phone tracker, IDC, Tech Rep

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Metadata

Authors
Brooke, S. M., An, H.-S., Kang, S.-K., Noble, J. M., Berg, K. E., & Lee, J.-M.
Affiliations
  • University of Nebraska at Omaha (US)
  • Yong In University (KR)
Corresponding author
Lee, Jung-Min
Venue
Journal of Strength and Conditioning Research
Published
2017-04
Volume
31
Issue
4
Pages
1097-1106
ISSN
1064-8011 (ISSN-L)
OpenAlex
W2502795088
Cited by
79
References
19
Citations by year
2026: 3 · 2025: 4 · 2024: 4 · 2023: 4 · 2022: 11 · 2021: 14 · 2020: 15 · 2019: 8 · 2018: 10 · 2017: 5
FWCI
6.17
Type
journal article
Language
en
Open access
closed
Locations
  • The Journal of Strength and Conditioning Research (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › 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
wearable activity trackers, concurrent validity, energy expenditure estimation, free-living conditions, equivalence testing, mean absolute percentage error, physical activity monitoring, sleep monitoring
MeSH terms
Fitness Trackers, Adult, Energy Metabolism, Female, Humans, Male, Sleep, Reproducibility of Results, Young Adult

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