The cross‐sectional associations between objectively measured sedentary time and cardiometabolic health markers in adults – a systematic review with meta‐analysis component
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Summary: Sedentary time is viewed as an independent risk factor for adverse cardiometabolic health (CMH). No systematic review and meta‐analysis on the cross‐sectional associations between objectively measured sedentary time and CMH markers has been conducted. PubMed, Scopus and Web of Science Core Collection were searched for papers that examined the cross‐sectional association between objectively measured sedentary time and CMH markers in adults. Forty‐six papers met the inclusion criteria. The included papers had a combined sample size of 70,576 and an age range of 18–87 years. To examine the effect of increased levels of sedentary time on CMH markers, data on effect sizes and moderators were extracted, where possible. By pooling the unadjusted data from the included papers, increased sedentary time was shown to have a significant detrimental association with fasting glucose (Δ = 0.12, 95% confidence interval [CI]: 0.02, 0.23), fasting insulin (Δ = 0.19, 95% CI: 0.06, 0.32), triglycerides (Δ = 0.25, 95% CI: 0.14, 0.37), high‐density lipoprotein cholesterol (Δ = −0.20, 95% CI: −0.28, −0.13) and waist circumference (Δ = 0.25, 95% CI: 0.15, 0.35). How sedentary time was quantified and the device used to measure sedentary time significantly influence the size of the effect reported. Future interventions focused on both decreasing sedentary time and increasing physical activity may be the most effective strategy to improve CMH.
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Greater total sedentary time is related to increased cardiometabolic risk, including decreased high-density lipoprotein levels and increased triglycerides, fasting glucose, BMI, and waist circumference.
“greater total sedentary time is related to increased cardiometabolic risk [2], including decreased high-density lipoprotein levels and increased triglycerides, fasting glucose [4], BMI, and waist circumference [5].”
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Adiposity and Insufficient MVPA Predict Cardiometabolic Abnormalities in Adults
Peterson, M. D., Snih, S. A., STODDARD, J., McClain, J. J., & Lee, I.-M. M. (2014) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000000212 · Cited by 22 · see citing works
Scheers, T., Philippaerts, R. M., & Lefevre, J. (2013) · Clinical Nutrition · doi:10.1016/j.clnu.2013.03.014 · Cited by 18 · see citing works
Halloway, S., Wilbur, J., Schoeny, M. E., Semanik, P. A., & Márquez, D. X. (2015) · Journal of Aging and Physical Activity · doi:10.1123/japa.2015-0096 · Cited by 14 · see citing works
Wilson, H., Leonard, W. R., Tarskaia, L. A., Klimova, T. M., Krivoshapkin, V. G., & Snodgrass, J. J. (2014) · American Journal of Human Biology · doi:10.1002/ajhb.22625 · Cited by 5 · see citing works
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Exercise-Released Myokines in the Control of Energy Metabolism
Laurens, C., Bergouignan, A., & Moro, C. (2020) · Frontiers in Physiology · doi:10.3389/fphys.2020.00091 · Cited by 159 · see citing works
Cavallo, F. R., Golden, C., Pearson-Stuttard, J., Falconer, C., & Toumazou, C. (2022) · PLOS ONE · doi:10.1371/journal.pone.0268289 · Cited by 51 · see citing works
Park, C., Dietrich, M. S., Larsen, B., Mayberry, L. S., Doyle, A., Ahn, S., Jean, J., Maquiling, K., Mogos, M. F., Muchira, J. M., et al. (2026) · JMIR mHealth and uHealth · doi:10.2196/56497
- Authors
- Powell, C., Herring, M. P., Dowd, K. P., Donnelly, A. E., & Carson, B. P.
- Affiliations
- University of Limerick (IE)
- Athlone Institute of Technology (IE)
- Corresponding author
- Powell, C.
- Venue
- Obesity Reviews
- Publisher
- Wiley
- Published
- 2017-11-27
- Volume
- 19
- Issue
- 3
- Pages
- 381-395
- ISSN
- 1467-7881 (ISSN-L)
- 1467-789X
- OpenAlex
- W2770878701
- Cited by
- 66
- References
- 97
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 7 · 2023: 6 · 2022: 12 · 2021: 10 · 2020: 10 · 2019: 7 · 2018: 6 · 2017: 1
- FWCI
- 0.81
- Type
- journal article
- Language
- en
- Open access
- green
- research.thea.ie
- Locations
- Obesity Reviews (publishedVersion)
- PubMed (publishedVersion)
- Research@THEA (submittedVersion, cc-by)
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Pharmacology › Coffee research and impacts
- Keywords
- sedentary time, cardiometabolic health, fasting blood glucose, fasting insulin, triglycerides, HDL cholesterol, waist circumference, physical activity interventions, adults
- MeSH terms
- Adult, Cardiovascular Diseases, Cross-Sectional Studies, Health Status Indicators, Humans, Metabolic Diseases, Biomarkers, Exercise, Sedentary Behavior
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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