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Reproducibility of Accelerometer-Assessed Physical Activity and Sedentary Time
Open accessAbstract
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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“adults’ accelerometry-measured physical activity has been shown to be stable over time (for example, >90% of classification accuracy within one quartile over a period of 2–3 years)42.”
From Association of wearable device-measured vigorous intermittent lifestyle physical activity with mortality (2022) · cites this paper as [42]
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Daily Steps and Life Expectancy: A Life Table Analysis of a Population-Representative Sample
Zhuang, J., Liu, T., Holzapfel, S. D., Ma, T., Lei, J., Li, G., & Pang, M. Y. C. (2026) · Journal of Physical Activity and Health · doi:10.1123/jpah.2025-0892
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Metadata
- 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
- Venue
- American Journal of Preventive Medicine
- Publisher
- Elsevier BV
- Published
- 2017-04
- Volume
- 52
- Issue
- 4
- Pages
- 541-548
- ISSN
- 0749-3797 (ISSN-L)
- 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
- 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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