Measurement of Adults' Sedentary Time in Population-Based Studies
Open accessAbstract
Sedentary time (too much sitting) increasingly is being recognized as a distinct health risk behavior. This paper reviews the reliability and validity of self-reported and device-based sedentary time measures and provides recommendations for their use in population-based studies. The focus is on instruments that have been used in free-living, population-based research in adults. Data from the 2003-2006 National Health and Nutrition Examination Survey are utilized to compare the descriptive epidemiology of sedentary time that arises from the use of different sedentary time measures. A key recommendation from this review is that, wherever possible, population-based monitoring of sedentary time should incorporate both self-reported measures (to capture important domain- and behavior-specific sedentary time information) and device-based measures (to measure both total sedentary time and patterns of sedentary time accumulation).
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Accelerometers measure sitting time in a different manner to questionnaires.
“As accelerometers have been shown to measure sitting time in a different manner to questionnaires[31]”
From Daily Sitting Time and All-Cause Mortality: A Meta-Analysis (2013) · cites this paper as [31]
Models were run with the Koster et al accelerometer study included and excluded to see if the results were changed with inclusion of this paper.
“As accelerometers have been shown to measure sitting time in a different manner to questionnaires[31], we ran models with this study included and excluded, to see if the results were changed with inclusion of this paper.”
From Daily Sitting Time and All-Cause Mortality: A Meta-Analysis (2013) · cites this paper as [31]
Five of six included studies assessed total sitting time via single-item self-report, and measurement error could have led to misclassification and attenuation of risk estimates.
“Five of the six studies included in this meta-analysis assessed total sitting time through single-item self-report measures, and measurement error in reported sitting time could have led to misclassification and attenuation of the risk estimates observed in these studies[31,37].”
From Daily Sitting Time and All-Cause Mortality: A Meta-Analysis (2013) · cites this paper as [31]
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Self-citationOwen, N., Salmon, J., Koohsari, M. J., Turrell, G., & Giles-Corti, B. (2014) · British Journal of Sports Medicine · doi:10.1136/bjsports-2013-093107 · Cited by 208 · see citing works
Sedentary behavior: Understanding and influencing adults' prolonged sitting time
Owen, N. (2012) · Preventive Medicine · doi:10.1016/j.ypmed.2012.08.024 · Cited by 187 · see citing works
Bennie, J. A., Pedisic, Z., van Uffelen, J. G. Z., Gale, J., Banting, L. K., Vergeer, I., Stamatakis, E., Bauman, A. E., & Biddle, S. J. H. (2015) · BMC Public Health · doi:10.1186/s12889-016-2736-3 · Cited by 177 · see citing works
Chau, J. Y., Grunseit, A., Midthjell, K., Holmen, J., Holmen, T. L., Bauman, A. E., & Van der Ploeg, H. P. (2015) · British Journal of Sports Medicine · doi:10.1136/bjsports-2012-091974 · Cited by 173 · see citing works
Sitting Less and Moving More: Implications for Hypertension
Dempsey, P. C., Larsen, R. N., Dunstan, D. W., Owen, N., & Kingwell, B. A. (2018) · Hypertension · doi:10.1161/hypertensionaha.118.11190 · Cited by 170 · see citing works
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Healy, G. N., Winkler, E. A. H., Brakenridge, C. L., Reeves, M. M., & Eakin, E. G. (2015) · PLoS ONE · doi:10.1371/journal.pone.0119140 · Cited by 123 · see citing works
Self-citationWorldwide surveillance of self-reported sitting time: a scoping review
Mclaughlin, M., Atkin, A. J., Starr, L., Hall, A., Wolfenden, L., Sutherland, R., Wiggers, J., Ramirez, A., Hallal, P., Pratt, M., et al. (2020) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-020-01008-4 · Cited by 117 · see citing works
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Sensitivity to Change of Objectively-Derived Measures of Sedentary Behavior
Chastin, S. F. M., Winkler, E. A. H., Eakin, E. G., Gardiner, P. A., Dunstan, D. W., Owen, N., & Healy, G. N. (2015) · Measurement in Physical Education and Exercise Science · doi:10.1080/1091367x.2015.1050592 · Cited by 84 · see citing works
Self-citationCorrelates of prolonged television viewing time in older Japanese men and women
Kikuchi, H., Inoue, S., Sugiyama, T., Owen, N., Oka, K., & Shimomitsu, T. (2013) · BMC Public Health · doi:10.1186/1471-2458-13-213 · Cited by 76 · see citing works
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Evaluating the Effectiveness of Mobile Health in Breast Cancer Care: A Systematic Review
Flaucher, M., Zakreuskaya, A., Nissen, M., Mocker, A., Fasching, P. A., Beckmann, M. W., Eskofier, B. M., & Leutheuser, H. (2023) · The Oncologist · doi:10.1093/oncolo/oyad217 · Cited by 15 · see citing works
Colomer, F. A., Cugat, M. À. C., Bort-Roig, J., Chirveches-Pérez, E., Zaldúa, Y. C., Martín-Cantera, C., Franch-Nadal, J., & Puig-Ribera, A. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph191912245 · Cited by 7 · see citing works
- Authors
- Healy, G. N., Clark, B. K., Winkler, E. A. H., Gardiner, P. A., Brown, W. J., & Matthews, C. E.
- Affiliations
- Baker Heart and Diabetes Institute (AU)
- ORCID
- Venue
- American Journal of Preventive Medicine
- Publisher
- Elsevier BV
- Published
- 2011-08
- Volume
- 41
- Issue
- 2
- Pages
- 216-227
- ISSN
- 0749-3797 (ISSN-L)
- PMC
- PMC3179387
- OpenAlex
- W1989613701
- Cited by
- 628
- References
- 79
- Citations by year
- 2026: 10 · 2025: 17 · 2024: 32 · 2023: 40 · 2022: 28 · 2021: 46 · 2020: 57 · 2019: 57 · 2018: 46 · 2017: 61 · 2016: 63 · 2015: 55 · 2014: 47 · 2013: 37 · 2012: 23
- FWCI
- 24.64
- 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)
- eSpace (Curtin University) (submittedVersion)
- Funders
- National Institutes of Health (Z99 CA999999)
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Social Sciences › Psychology › Social Psychology › Ergonomics and Musculoskeletal Disorders
- Keywords
- sedentary time, sitting behavior, self-reported sedentary time, accelerometry, reliability and validity, measurement agreement, NHANES, adults
- MeSH terms
- Adult, Epidemiologic Methods, Humans, Nutrition Surveys, Risk, Time Factors, Reproducibility of Results, Health Behavior, Sedentary Behavior
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