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Sedentary time and cardio-metabolic biomarkers in US adults: NHANES 2003–06
Open accessAbstract
AIMS: Prolonged sedentary time is ubiquitous in developed economies and is associated with an adverse cardio-metabolic risk profile and premature mortality. This study examined the associations of objectively assessed sedentary time and breaks (interruptions) in sedentary time with continuous cardio-metabolic and inflammatory risk biomarkers, and whether these associations varied by sex, age, and/or race/ethnicity. METHODS AND RESULTS: Cross-sectional analyses with 4757 participants (≥ 20 years) from the 2003/04 and 2005/06 US National Health and Nutrition Examination Survey (NHANES). An Actigraph accelerometer was used to derive sedentary time [< 100 counts per minute (cpm)] and breaks in sedentary time. Independent of potential confounders, including moderate-to-vigorous exercise, detrimental linear associations (P for trends < 0.05) of sedentary time with waist circumference, HDL-cholesterol, C-reactive protein, triglycerides, insulin, HOMA-%B, and HOMA-%S were observed. Independent of potential confounders and sedentary time, breaks were beneficially associated with waist circumference and C-reactive protein (P for trends <0.05). There was limited evidence of meaningful differences in associations with biomarkers by age, sex, or race/ethnicity. Notable exceptions were sex-differences in the associations of sedentary time and breaks with HDL-cholesterol, and race/ethnicity differences in the association of sedentary time with waist circumference with associations detrimental in non-Hispanic whites, null in Mexican Americans, and beneficial in non-Hispanic blacks. CONCLUSION: These are the first population-representative findings on the deleterious associations of prolonged sedentary time with cardio-metabolic and inflammatory biomarkers. The findings suggest that clinical communications and preventive health messages on reducing and breaking up sedentary time may be beneficial for cardiovascular disease risk.
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“There is some evidence that the influence of SB might be independent of time spent in MVPA [6]”
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“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).”
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Metadata
- Authors
- Healy, G. N., Matthews, C. E., Dunstan, D. W., Winkler, E. A. H., & Owen, N.
- Affiliations
- Baker Heart and Diabetes Institute (AU)
- National Cancer Institute (US)
- The University of Queensland (AU)
- Corresponding author
- Healy, Genevieve N.
- Venue
- European Heart Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-01-11
- Volume
- 32
- Issue
- 5
- Pages
- 590-597
- ISSN
- 0195-668X (ISSN-L)
- 1522-9645
- PMC
- PMC3634159
- OpenAlex
- W2150722389
- Cited by
- 1,368
- References
- 28
- Citations by year
- 2026: 21 · 2025: 31 · 2024: 49 · 2023: 57 · 2022: 80 · 2021: 94 · 2020: 106 · 2019: 102 · 2018: 104 · 2017: 125 · 2016: 112 · 2015: 146 · 2014: 135 · 2013: 102 · 2012: 71
- FWCI
- 73.71
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- European Heart Journal (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Research Bank (Australian Catholic University) (submittedVersion)
- eSpace (Curtin University) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Swinburne figshare (Swinburne University of Technology) (submittedVersion)
- Funders
- National Institutes of Health (Z99 CA999999)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Health Sciences › Medicine › Pharmacology (medical) › Coffee research and impacts
- Keywords
- sedentary behavior, sedentary breaks, cardiometabolic risk, inflammatory markers, C-reactive protein, waist circumference, HDL cholesterol, triglycerides, insulin, HOMA-IR, HOMA-β, accelerometer-measured sedentary time, sex differences, racial and ethnic differences, cardiovascular risk, NHANES
- MeSH terms
- Acceleration, Adult, Aged, Blood Pressure, Cardiovascular Diseases, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Nutrition Surveys, Smoking, United States, Biomarkers, Age Distribution, Sex Distribution, Waist Circumference, Sedentary Behavior
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