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Cited by 135Physical Activity and HealthObesity, Physical Activity, DietContext-Aware Activity Recognition Systems

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Assessing Physical Activity and its Relationship to Cardiovascular Risk Factors: NHANES 2003-2006

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Luke, Amy, Dugas, Lara R, Durazo-Arvizu, Ramon A, Cao, Guichan, Cooper, Richard S·2011·BMC Public Health
DOI 10.1186/1471-2458-11-387PMC PMC3123595
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Abstract

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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Figure 1 Mean number of minutes per day of moderate plus vigorous activity combined in 1-minute bouts by 5-year age groups - NHANES 2003-2006 (n = 3,370).
Figure 1 Mean number of minutes per day of moderate plus vigorous activity combined in 1-minute bouts by 5-year age groups - NHANES 2003-2006 (n = 3,370).CC BY · PubMed Central
Figure 2 Number of minutes accumulated in continuous bouts of moderate or vigorous activity lasting from 1 to 10 minutes, NHANES 2003-2006, (n = 3370). The number of daily bouts was determined by averaging all bouts of the specified duration that were accumulated over valid wear days (i.e., number of bouts accumulated on all valid wear days/number of valid wear days; average valid wear days = 5.95)
Figure 2 Number of minutes accumulated in continuous bouts of moderate or vigorous activity lasting from 1 to 10 minutes, NHANES 2003-2006, (n = 3370). The number of daily bouts was determined by averaging all bouts of the specified duration that were accumulated over valid wear days (i.e., number of bouts accumulated on all valid wear days/number of valid wear days; average valid wear days = 5.95)CC BY · PubMed Central

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  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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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
ORCID
Venue
BMC Public Health
Publisher
Springer Science and Business Media LLC
Published
2011-05-25
Volume
11
Issue
1
Pages
387-387
ISSN
1471-2458 (ISSN-L)
DOI
10.1186/1471-2458-11-387
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
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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