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Assessing Physical Activity and its Relationship to Cardiovascular Risk Factors: NHANES 2003-2006
Open accessAbstract
BACKGROUND: Levels of physical activity (PA) in the general population are difficult to characterize. Historically measurement has been based on self-report, which can be subject to bias. PA monitor use has created opportunities to improve surveillance and analytic research on activity and health. The aims of the current study were to investigate the associations between objectively measured PA and cardiovascular disease risk factors and obesity. METHODS: Data on PA from accelerometers, demographics, blood pressure, plasma glucose and lipids, self-reported hypertension and diabetes were obtained for adults, ages 20-65, in the NHANES surveys, 2003-2006. Outcomes were assessed as levels of moderate and vigorous activity, percentage of participants meeting recommended guidelines, and the correlations between activity and cardiovascular risk factors. Accelerometry data were available on 3,370 adults. Based on standard algorithms, activity levels were extremely low in all age-gender-race/ethnic groups, with an average of only 1 bout of vigorous activity lasting longer than 1 minute/day. RESULTS: Men spent 35 minutes in moderate activity/day, women 21 minutes; >75% of this activity was accumulated in 1-minute bouts. Levels of activity declined sharply after age 50 in all groups. Negative associations were observed between minutes of combined moderate and vigorous activity and systolic blood pressure, blood glucose, diabetes, hypertension, body mass index and obesity, and a positive association was seen with HDL-cholesterol (all P ≤ 0.03), suggesting valid rank ordering of participants by activity level. CONCLUSION: The magnitude of the gap between self-report and accelerometry activity must be a result of either a vast social acceptability bias in reporting or inaccurate measurement with accelerometry. Therefore, due to the low validity of self reported PA data for epidemiologic research, it is pertinent to encourage the use of valid, objective methods to assess PA.
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The Physical Activity Guidelines for Americans
Piercy, K. L., Troiano, R. P., Ballard, R. M., Carlson, S. A., Fulton, J. E., Galuska, D. A., George, S. M., & Olson, R. D. (2018) · JAMA · doi:10.1001/jama.2018.14854 · Cited by 9,755
‘Small Changes' to Diet and Physical Activity Behaviors for Weight Management
Hills, A. P., Byrne, N. M., Lindstrom, R. C., & Hill, J. O. (2013) · Obesity Facts · doi:10.1159/000345030 · Cited by 9,526
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
Prevalence and Trends in Obesity Among US Adults, 1999-2008
Flegal, K. M. (2010) · JAMA · doi:10.1001/jama.2009.2014 · Cited by 7,580
Heart Disease and Stroke Statistics—2009 Update
WRITING GROUP MEMBERS, Lloyd‐Jones, D. M., Adams, R. J., Carnethon, M. R., SIMONE, G. D., Ferguson, T. B., Flegal, K. M., Ford, E. S., Furie, K. L., Go, A. S., et al. (2009) · Circulation · doi:10.1161/circulationaha.108.191259 · Cited by 3,915
Calibration of the Computer Science and Applications, Inc. accelerometer
FREEDSON, P. S., MELANSON, E., & SIRARD, J. (1998) · Medicine & Science in Sports & Exercise · doi:10.1097/00005768-199805000-00021 · Cited by 3,825
Prince, S. A., Adamo, K. B., Hamel, M., Hardt, J., Connor Gorber, S., & Tremblay, M. (2008) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-5-56 · Cited by 3,162
WRITING GROUP MEMBERS, Lloyd-Jones, D., Adams, R., Carnethon, M., De Simone, G., Ferguson, T. B., Flegal, K., Ford, E., Furie, K., Go, A., et al. (2009) · Circulation · doi:10.1161/circulationaha.108.191261 · Cited by 3,140
National Center for Health Statistics (NCHS)
Feinleib, M. (2005) · Encyclopedia of Biostatistics · doi:10.1002/0470011815.b2a16042 · Cited by 3,134
Explaining the decrease in U.S. deaths from coronary disease, 1980–2000
Ford, E. S., Ajani, U. A., Croft, J. B., Critchley, J. A., Labarthe, D. R., Kottke, T. E., Giles, W. H., & Capewell, S. (2007) · New England Journal of Medicine · doi:10.1056/nejmsa053935 · Cited by 2,757
Research works printed but not linked: 1
- Sex, Lies, and Social Science. The New York Review of Books. [ http://www.nybooks.com/articles/archives/1995/apr/20/sex-lies-and-social-science/ ]
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Solbraa, A. K., Ekelund, U., Holme, I., Graff‐Iversen, S., Steene‐Johannessen, J., Aadland, E., & Anderssen, S. A. (2015) · Journal of Physical Activity and Health · doi:10.1123/jpah.2014-0390 · Cited by 8
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Lin, W., Zou, J., Di, C., Rock, C. L., & Natarajan, L. (2024) · Statistics in Medicine · doi:10.1002/sim.10207 · Cited by 1
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Lee, H., Kim, E. S., Kim, Y., Conroy, D. E., & VanderWeele, T. J. (2024) · Annals of Behavioral Medicine · doi:10.1093/abm/kaae082 · Cited by 1
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Hillsdon, M. M., Metcalf, B. S., Newton, J. N., Wanigatunga, A. A., & Schrack, J. A. (2026) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-025-01865-x · Cited by 1
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Characterizing ActiGraph’s Idle Sleep Mode in Free-Living Assessments of Physical Behavior
LaMunion, S. R., Brychta, R. J., Freeman, J. R., Saint‐Maurice, P. F., Matthews, C. E., Ishihara, A., & Chen, K. Y. (2024) · Journal for the Measurement of Physical Behaviour · doi:10.1123/jmpb.2023-0038 · Cited by 1
Community Approaches to Reduce the Risks of Cardiovascular Disease
Harrington, C. B., Eastman, M. L., & Linnan, L. A. (2013) · CRC Press eBooks · doi:10.1201/b13781-9 · Cited by 1
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Reimers, C. D., & Knapp, G. (2015) · Elsevier eBooks · doi:10.1016/b978-3-437-24285-4.00003-3
Nneamaka, O. A., Akodu, B. A., Bolanle, M. R., & Taiwo, A. H. (2023) · Open Access Journal of Gerontology & Geriatric Medicine · doi:10.19080/oajggm.2023.07.555709
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The Effect of an Early Life Motor Skill Intervention on Physical Activity in Growth-Restricted Mice
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Measure selection for functional linear model
Iao, S. I., & Müller, H.-G. (2025) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2025.108270
Rastogi, T., Backes, A., Schmitz, S., Fagherazzi, G., van Hees, V., & Malisoux, L. (2020) · Figshare · doi:10.6084/m9.figshare.13204553
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Ghosh, S., Cho, S. E., Yue, Y., Matabuena, M., Saha, E., & Ghosal, R. (2026) · Journal for the Measurement of Physical Behaviour · doi:10.1123/jmpb.2025-0052
Gay, J. L., Liu, J., Wang, Y., Land, D., Cloud, G., & Smith, K. (2026) · Environment and Behavior · doi:10.1177/00139165261455145
Metadata
- Authors
- Luke, A., Dugas, L. R., Durazo-Arvizu, R. A., Cao, G., & Cooper, R. S.
- Affiliations
- Loyola University Chicago (US)
- Corresponding author
- Luke, Amy
- Venue
- BMC Public Health
- Published
- 2011-05-25
- Volume
- 11
- Issue
- 1
- Pages
- 387-387
- ISSN
- 1471-2458 (ISSN-L)
- PMC
- PMC3123595
- OpenAlex
- W2151967227
- Cited by
- 135
- References
- 49
- Citations by year
- 2026: 3 · 2025: 1 · 2024: 7 · 2023: 9 · 2022: 3 · 2021: 8 · 2020: 10 · 2019: 6 · 2018: 7 · 2017: 9 · 2016: 4 · 2015: 19 · 2014: 17 · 2013: 18 · 2012: 13
- FWCI
- 10.69
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- BMC Public Health (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Civil War Book Review (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Institutes of Health
- National Institute of Diabetes and Digestive and Kidney Diseases (DK080763, R01DK080763)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Keywords
- physical activity, accelerometer-measured activity, cardiovascular risk factors, obesity, blood pressure, diabetes mellitus, hypertension, HDL cholesterol, age differences in physical activity, NHANES
- MeSH terms
- Adult, Aged, Cardiovascular Diseases, Female, Humans, Male, Middle Aged, Motor Activity, Nutrition Surveys, Risk Factors, Risk Reduction Behavior, Young Adult, Actigraphy, Self Report
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