The DOI matches its Crossref record; 48 of the 52 references it cites were found in a registry or an index.
Amount of Time Spent in Sedentary Behaviors in the United States, 2003-2004
Open accessAbstract
Sedentary behaviors are linked to adverse health outcomes, but the total amount of time spent in these behaviors in the United States has not been objectively quantified. The authors evaluated participants from the 2003-2004 National Health and Nutrition Examination Survey aged >/=6 years who wore an activity monitor for up to 7 days. Among 6,329 participants with at least one 10-hour day of monitor wear, the average monitor-wearing time was 13.9 hours/day (standard deviation, 1.9). Overall, participants spent 54.9% of their monitored time, or 7.7 hours/day, in sedentary behaviors. The most sedentary groups in the United States were older adolescents and adults aged >/=60 years, and they spent about 60% of their waking time in sedentary pursuits. Females were more sedentary than males before age 30 years, but this pattern was reversed after age 60 years. Mexican-American adults were significantly less sedentary than other US adults, and White and Black females were similarly sedentary after age 12 years. These data provide the first objective measure of the amount of time spent in sedentary behavior in the US population and indicate that Americans spend the majority of their time in behaviors that expend very little energy.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“At the same time, older people lead a less-active lifestyle, sometimes because of limitations imposed by chronic illnesses.126”
From Evidence-Based Recommendations for Optimal Dietary Protein Intake in Older People: A Position Paper From the PROT-AGE Study Group (2013) · cites this paper as [126]
Experimental — accuracy not yet measuredIn the citing paper
“Americans spend more than half of their day (55%) in sedentary behaviors such as sitting or lying down and 34% of patients with diabetes report less than 10 minutes a week of moderate/vigorous activity.”
From The Impact of Physical Activity in Patients With Type 2 Diabetes (2025) · cites this paper as [10]
In the citing paper
“Similarly, while the cutpoint we used to define sedentary time has been evaluated for validity [17], it is possible that the accuracy of this threshold varies in different age groups.”
From Association of sedentary time with mortality independent of moderate to vigorous physical activity (2012) · cites this paper as [17]
In the citing paper
“The models’ fit to the data was in line with previous reports [1,6,10,14–17], with moderate amount of variance explained for systolic blood pressure (R2 adj = 0.21), HDL (R2 adj = 0.22), CRP (R2 adj = 0.26), plasma glucose (R2 adj = 0.33), insulin (R2 adj = 0.40) and HOMA (R2 adj = 0.42).”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Prevalence of Overweight and Obesity in the United States, 1999-2004
Ogden, C. L., Carroll, M. D., Curtin, L. R., McDowell, M. A., Tabak, C. J., & Flegal, K. M. (2006) · JAMA · doi:10.1001/jama.295.13.1549 · Cited by 8,720
Physical Activity in the United States Measured by Accelerometer
TROIANO, R. P., BERRIGAN, D., DODD, K. W., MÂSSE, L. C., TILERT, T., & MCDOWELL, M. (2008) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31815a51b3 · Cited by 7,638
Self-citation(2007) · Circulation · doi:10.1161/circulationaha.107.185649 · Cited by 6,545
Self-citationPate, R. R. (1995) · JAMA · doi:10.1001/jama.1995.03520290054029 · Cited by 4,606
Self-citationPrevalence of Overweight and Obesity in the United States
Crespo, C. J., & Smit, E. (2003) · Human Kinetics eBooks · doi:10.5040/9781718206601.ch-001 · Cited by 4,382
Physical Activity and Public Health in Older Adults
Nelson, M. E., Rejeski, W. J., Blair, S. N., Duncan, P. W., Judge, J. O., King, A. C., Macera, C. A., & Castaneda‐Sceppa, C. (2007) · Circulation · doi:10.1161/circulationaha.107.185650 · Cited by 3,057
Generation M2: Media in the Lives of 8- to 18-Year-Olds
Foehr, U. G., Rideout, V. J., & Roberts, D. F. (2010) · Cited by 2,197
Obesity and the Environment: Where Do We Go from Here?
Hill, J. O., Wyatt, H. R., Reed, G. W., & Peters, J. C. (2003) · Science · doi:10.1126/science.1079857 · Cited by 2,180
Conducting accelerometer-based activity assessments in field-based research
TROST, S. G., MCIVER, K. L., & PATE, R. R. (2005) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000185657.86065.98 · Cited by 2,033
Self-citationGeneration M2 : Media in the Lives of 8- to 18-year-olds
Rideout, V. (2010) · Medical Entomology and Zoology · Cited by 2,016
Cited by
Sorted by citations
Items 1,001–1,008 of 1,008
Validation study of Polar V800 accelerometer
Hernández-Vicente, A., Santos-Lozano, A., De Cocker, K., & Garatachea, N. (2016) · Annals of Translational Medicine · doi:10.21037/atm.2016.07.16 · Cited by 23
Bastien Tardif, C., Cantin, M., Sénécal, S., Léger, P.-M., Labonté-Lemoyne, É., Begon, M., & Mathieu, M.-E. (2018) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph15061242 · Cited by 21
Feehan, L. M., Goldsmith, C. H., Leung, A. Y. F., & Li, L. C. (2016) · Physiotherapy Canada · doi:10.3138/ptc.2015-12 · Cited by 20
Bakrania, K., Edwardson, C. L., Khunti, K., Henson, J., Stamatakis, E., Hamer, M., Davies, M. J., & Yates, T. (2017) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2017.01.013 · Cited by 19
Maeda, H., Quartiroli, A., Vos, P. W., Carr, L. J., & Mahar, M. T. (2014) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2014.01.024 · Cited by 18
The Impact of Physical Activity in Patients With Type 2 Diabetes
Bassin, S. R., & Srinath, R. (2025) · American Journal of Lifestyle Medicine · doi:10.1177/15598276231180541 · Cited by 17
Naugle, K. E., Carey, C., Ohlman, T., Godza, M., Mikesky, A., & Naugle, K. M. (2019) · Journal of Strength and Conditioning Research · doi:10.1519/jsc.0000000000002997 · Cited by 15
Vigelsø, A., Gram, M., Wiuff, C., Hansen, C. N., Prats, C., Dela, F., & Helge, J. W. (2016) · European Journal of Applied Physiology · doi:10.1007/s00421-015-3302-x · Cited by 13
Metadata
- Authors
- Matthews, C. E., Chen, K. Y., Freedson, P. S., Buchowski, M. S., Beech, B. M., Pate, R. R., & Troiano, R. P.
- Affiliations
- Vanderbilt University (US)
- National Institutes of Health (US)
- University of Massachusetts Amherst (US)
- University of South Carolina (US)
- National Cancer Institute (US)
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-03-14
- Volume
- 167
- Issue
- 7
- Pages
- 875-881
- ISSN
- 0002-9262 (ISSN-L)
- 1476-6256
- PMC
- PMC3527832
- OpenAlex
- W2168524506
- Cited by
- 2,631
- References
- 52
- Citations by year
- 2026: 48 · 2025: 84 · 2024: 120 · 2023: 108 · 2022: 138 · 2021: 187 · 2020: 168 · 2019: 185 · 2018: 213 · 2017: 224 · 2016: 221 · 2015: 226 · 2014: 199 · 2013: 170 · 2012: 111
- FWCI
- 50.79
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- American Journal of Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- ScholarWorks@UMassAmherst (University of Massachusetts Amherst) (submittedVersion)
- Scholarworks (University of Massachusetts Amherst) (submittedVersion)
- Funders
- National Cancer Institute
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK069465)
- 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 › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Keywords
- sedentary behavior, wearable activity trackers, accelerometry, NHANES, age and sex differences, Mexican American adults, racial and ethnic differences, energy expenditure
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Analysis of Variance, Child, Energy Metabolism, Ethnicity, Female, Humans, Male, Middle Aged, Motor Activity, Nutrition Surveys, Population Surveillance, Regression Analysis, Time, United States, Monitoring, Ambulatory
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
