Cited by 427Physical Activity and HealthSleep and related disordersDiabetes, Cardiovascular Risks, and Lipoproteins

Reallocating time to sleep, sedentary behaviors, or active behaviors: associations with cardiovascular disease risk biomarkers, NHANES 2005–2006

Buman, Matthew P., Winkler, Elisabeth A. H., Kurka, Jonathan M., Hekler, Eric B., Baldwin, Carol M., Owen, Neville, Ainsworth, Barbara E., Healy, Genevieve N. +1 more·2014·American Journal of Epidemiology

Abstract

Sleep and sedentary and active behaviors are linked to cardiovascular disease risk biomarkers, and across a 24-hour day, increasing time in 1 behavior requires decreasing time in another. We explored associations of reallocating time to sleep, sedentary behavior, or active behaviors with biomarkers. Data (n = 2,185 full sample; n = 923 fasting subanalyses) from the cross-sectional 2005-2006 US National Health and Nutrition Examination Survey were analyzed. The amounts of time spent in sedentary behavior, light-intensity activity, and moderate-to-vigorous physical activity (MVPA) were derived from ActiGraph accelerometry (ActiGraph LLC, Pensacola, Florida), and respondents reported their sleep duration. Isotemporal substitution modeling indicated that, independent of potential confounders and time spent in other activities, beneficial associations (P < 0.05) with cardiovascular disease risk biomarkers were associated with the reallocation of 30 minutes/day of sedentary time with equal time of either sleep (2.2% lower insulin and 2.0% lower homeostasis model assessment of β-cell function), light-intensity activity (1.9% lower triglycerides, 2.4% lower insulin, and 2.2% lower homeostasis model assessment of β-cell function), or MVPA (2.4% smaller waist circumference, 4.4% higher high-density lipoprotein cholesterol, 8.5% lower triglycerides, 1.7% lower glucose, 10.7% lower insulin, and 9.7% higher homeostasis model assessment of insulin sensitivity. These findings provide evidence that MVPA may be the most potent health-enhancing, time-dependent behavior, with additional benefit conferred from light-intensity activities and sleep duration when reallocated from sedentary time.

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Crossref · 10.1093/aje/kwt292

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Authors
Buman, M. P., Winkler, E. A. H., Kurka, J. M., Hekler, E. B., Baldwin, C. M., Owen, N., Ainsworth, B. E., Healy, G. N., & Gardiner, P. A.
Affiliations
  • Arizona State University (US)
  • The University of Queensland (AU)
  • The University of Melbourne (AU)
Corresponding author
Buman, Matthew P.
Venue
American Journal of Epidemiology
Published
2013-12-06
Volume
179
Issue
3
Pages
323-334
ISSN
  • 0002-9262 (ISSN-L)
  • 1476-6256
OpenAlex
W2126972762
Cited by
427
References
27
Citations by year
2026: 12 · 2025: 20 · 2024: 18 · 2023: 35 · 2022: 28 · 2021: 26 · 2020: 35 · 2019: 38 · 2018: 53 · 2017: 63 · 2016: 42 · 2015: 39 · 2014: 16
FWCI
22.45
Type
journal article
Language
en
Open access
closed
Locations
  • American Journal of Epidemiology (publishedVersion)
  • PubMed (publishedVersion)
  • eSpace (Curtin University) (submittedVersion)
  • Swinburne figshare (Swinburne University of Technology) (submittedVersion)
Funders
  • Arizona State University
  • Monash University
  • Curtin University of Technology
  • State Government of Victoria
  • Medical Research Council
  • National Health and Medical Research Council (1003960, 569861, 1000986, 569940)
Topics
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
Keywords
sleep duration, sedentary behavior, physical activity, moderate-to-vigorous physical activity, light physical activity, time reallocation, insulin, insulin sensitivity, beta-cell function, triglycerides, HDL cholesterol, waist circumference, fasting blood glucose, accelerometry
MeSH terms
Adult, Aged, Aged, 80 and over, Blood Glucose, Blood Pressure, Cardiovascular Diseases, Cholesterol, Cross-Sectional Studies, Female, Humans, Insulin, Male, Middle Aged, Motor Activity, Nutrition Surveys, Risk Factors, Sleep, Time Factors, Triglycerides, Models, Statistical, Biomarkers, Waist Circumference, Sedentary Behavior, Self Report, Accelerometry

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