Cited by 147Physical Activity and HealthContext-Aware Activity Recognition SystemsBalance, Gait, and Falls Prevention

The validity and reliability of consumer-grade activity trackers in older, community-dwelling adults: a systematic review

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Straiton, Nicola, Alharbi, Muaddi, Bauman, Adrian, Neubeck, Lis, Gullick, Janice, Bhindi, Ravinay, Gallagher, Robyn·2018·Maturitas

Abstract

Objective To understand the validity and reliability of consumer-grade activity trackers (consumer wearables) in older, community-dwelling adults.Methods A systematic review of studies involving adults aged over 65 years who underwent physical activity monitoring with consumer wearables. A total of 7 observational studies qualified, identified from electronic databases: MEDLINE, EMBASE, Cochrane Library and others (2014-2018). Validity was interpreted using correlation coefficients (CC) and percentage error for agreement between reference devices or gold-standard validation methods Reliability was compared using mean differences or ranges (under- or overestimation) of step count and activity time.Results Total sample size was 290 adults, mean age of 70.2 ± 4.8 years and females constituting 46.7 ± 26.1%. The studies evaluated eight different consumer wearables used by community-dwelling adults with a range of co-morbidities. Daily step count for all consumer wearables correlated highly with validation criterion, especially the ActiGraph device: intraclass correlation coefficients (ICC) were 0.94 for Fitbit One, 0.94 for Zip, 0.86 for Charge HR and 0.96 for Misfit Shine. Slower walking pace and impaired ambulation reduced the levels of agreement. Daily step count captured by Fitbit Zip was on average 7117 (±5,880.6), which was overestimated by five of the eight consumer wearables compared with reference devices (range 167.6-2,690.3 steps/day). Measurement of activity duration was accurate compared with reference devices, yet less so than step count.Conclusion In older, community-dwelling adults, consumer wearables accurately measure step count and activity duration, as confirmed by reference devices and validation methods Further research is required to understand how co-morbidities, gait and activity levels interact with monitoring in free-living environments.

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Crossref · 10.1016/j.maturitas.2018.03.016

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References 26 · Cited by 147

Authors
Straiton, N., Alharbi, M., Bauman, A., Neubeck, L., Gullick, J., Bhindi, R., & Gallagher, R.
Affiliations
  • The University of Sydney (AU)
  • Edinburgh Napier University (GB)
Corresponding author
Straiton, Nicola
Venue
Maturitas
Publisher
Elsevier BV
Published
2018-06
Volume
112
Pages
85-93
ISSN
0378-5122 (ISSN-L)
OpenAlex
W2794488526
Cited by
147
References
26
Citations by year
2026: 10 · 2025: 11 · 2024: 14 · 2023: 20 · 2022: 26 · 2021: 24 · 2020: 29 · 2019: 10 · 2018: 3
FWCI
2.17
Type
journal article
Language
en
Locations
  • Maturitas (publishedVersion)
  • PubMed (publishedVersion)
  • Edinburgh Napier Research Repository (Edinburgh Napier University) (submittedVersion, cc-by-nc-nd)
  • UTS ePRESS (University of Technology Sydney) (submittedVersion)
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 › Physical Therapy, Sports Therapy and Rehabilitation › Balance, Gait, and Falls Prevention
Keywords
wearable devices, physical activity monitoring, older adults, community-dwelling adults, step count accuracy, activity duration, device validation, Fitbit, ActiGraph, walking speed, measurement reliability
MeSH terms
Fitness Trackers, Aged, Humans, Reproducibility of Results, Exercise, Actigraphy, Independent Living

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