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Sedentary time and cardio-metabolic biomarkers in US adults: NHANES 2003–06

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Healy, Genevieve N., Matthews, Charles E., Dunstan, David W., Winkler, Elisabeth A.H., Owen, Neville·2011·European Heart Journal

Abstract

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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  1. Dunstan DW, Barr ELM, Healy GN, Salmon J, Shaw JE, Balkau B, Magliano DJ, Cameron AJ, Zimmet PZ, Owen N. Television viewing time and mortality: the AusDiab study. Circulation 2010;121:384 -391.

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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
Published
2011-01-11
Volume
32
Issue
5
Pages
590-597
ISSN
  • 0195-668X (ISSN-L)
  • 1522-9645
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
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 › Physiology › Physical Activity and Health
  • Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
  • Health Sciences › Medicine › Pharmacology › 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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