Cited by 105Physical Activity and HealthContext-Aware Activity Recognition SystemsSleep and related disorders

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Reproducibility of Accelerometer-Assessed Physical Activity and Sedentary Time

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Keadle, Sarah Kozey, Shiroma, Eric J., Kamada, Masamitsu, Matthews, Charles E., Harris, Tamara B., Lee, I-Min·2017·American Journal of Preventive Medicine

DOI 10.1016/j.amepre.2016.11.010PMC PMC5362292

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Abstract

Introduction Accelerometers are used increasingly in large epidemiologic studies, but, given logistic and cost constraints, most studies are restricted to a single, 7-day accelerometer monitoring period. It is unknown how well a 7-day accelerometer monitoring period estimates longer-term patterns of behavior, which is critical for interpreting, and potentially improving, disease risk estimates in etiologic studies.Methods A subset of participants from the Women's Health Study (N=209; mean age, 70.6 [SD=5.7] years) completed at least two 7-day accelerometer administrations (ActiGraph GT3X+) within a period of 2-3 years. Monitor output was translated into total counts, steps, and time spent in sedentary, light-intensity, and moderate to vigorous-intensity activity (MVPA) and bouted-MVPA (i.e., 10-minute bouts). For each metric, intraclass correlations (ICCs) and 95% CIs were calculated using linear-mixed models and adjusted for wear time, age, BMI, and season. The data were collected in 2011-2015 and analyzed in 2015-2016.Results The ICCs ranged from 0.67 (95% CI=0.60, 0.73) for bouted-MVPA to 0.82 (95% CI=0.77, 0.85) for total daily counts and were similar across age, BMI, and for less and more active women. For all metrics, classification accuracy within 1 quartile was >90%.Conclusions These data provide reassurance that a 7-day accelerometer-assessment protocol provides a reproducible (and practical) measure of physical activity and sedentary time. However, ICCs varied by metric; therefore, future prospective studies of chronic diseases might benefit from existing methods to adjust risk estimates for within-person variability in activity to get a better estimate of the true strength of association.

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Authors: Keadle, S. K., Shiroma, E. J., Kamada, M., Matthews, C. E., Harris, T. B., & Lee, I.-M.
Affiliations: National Institutes of Health (US)
Brigham and Women's Hospital (US)
National Cancer Institute (US)
Corresponding author: Keadle, Sarah Kozey
ORCID: Keadle, Sarah Kozey
Shiroma, Eric J.
Kamada, Masamitsu
Matthews, Charles E.
Harris, Tamara B.
Lee, I-Min
Venue: American Journal of Preventive Medicine
Publisher: Elsevier BV
Published: 2017-04
Volume: 52
Issue: 4
Pages: 541-548
ISSN: 0749-3797 (ISSN-L)
DOI: 10.1016/j.amepre.2016.11.010
PMC: PMC5362292
OpenAlex: W2568755761
Cited by: 105
References: 41
Citations by year: 2026: 14 · 2025: 17 · 2024: 15 · 2023: 9 · 2022: 10 · 2021: 12 · 2020: 14 · 2019: 6 · 2018: 4 · 2017: 4
FWCI: 5.67
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: American Journal of Preventive Medicine (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
Funders: National Institutes of Health (5r01hl043851-10)
National Heart, Lung, and Blood Institute (R01HL080467, R01‐HL043851)
National Cancer Institute (UM1CA182913, R01CA154647, R01CA047988)
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
Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
Keywords: physical activity measurement, sedentary time, within-person variability, moderate-to-vigorous physical activity, light physical activity, step count, Women's Health Study, older women
MeSH terms: Aged, Female, Humans, Reproducibility of Results, Exercise, Sedentary Behavior, Accelerometry

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Reproducibility of Accelerometer-Assessed Physical Activity and Sedentary Time

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