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Associations of sitting accumulation patterns with cardio-metabolic risk biomarkers in Australian adults
Open accessAbstract
BACKGROUND: High amounts of time spent sitting can increase cardiovascular disease risk and are deleteriously associated cardio-metabolic risk biomarkers. Though evidence suggests that accruing sitting time in prolonged periods may convey additional risk, verification using high-quality measures is needed. We examined this issue in adults from the Australian Diabetes, Obesity and Lifestyle Study, using accurate measures of sitting accumulation. METHODS: In 2011/12, 739 adults aged 36 to 89 years (mean±SD 58±10 years) wore activPAL3™ monitors (which provide accurate objective measures of sitting); 678 provided ≥4 valid days of monitor data and complete cardio-metabolic biomarker and confounder data. Multivariable linear regression models examined associations of sitting time, sitting time accrued in ≥30 minute bouts (prolonged sitting time), and three measures of sitting accumulation patterns with cardio-metabolic risk markers: body mass index (BMI), waist circumference, blood pressure, high- and low- density lipoprotein (HDL and LDL) cholesterol, triglycerides, glycated haemoglobin (HbA1c), fasting plasma glucose (FPG) and 2-hour post-load glucose (PLG). Interactions tests examined whether associations of sitting time with biomarkers varied by usual sitting bout duration. RESULTS: Adjusted for potential confounders, greater amounts of sitting time and prolonged sitting time were significantly (p<0.05) deleteriously associated with BMI, waist circumference, HDL cholesterol, and triglycerides. Total sitting time was also significantly associated with higher PLG. Sitting accumulation patterns of frequently interrupted sitting (compared to patterns with relatively more prolonged sitting) were significantly beneficially associated with BMI, waist circumference, HDL cholesterol, triglycerides, PLG, and with FPG. Effect sizes were typically larger for accumulation patterns than for sitting time. Significant interactions (p<0.05) showed that associations of sitting time with HDL, triglycerides and PLG became more deleterious the longer at a time sitting was usually accumulated. CONCLUSIONS: Adding to previous evidence reliant on low-quality measures, our study showed that accumulating sitting in patterns where sitting was most frequently interrupted had significant beneficial associations with several cardio-metabolic biomarkers and that sitting for prolonged periods at a time may exacerbate some of the effects of sitting time. The findings support sedentary behavior guidelines that promote reducing and regularly interrupting sitting.
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“Prolonged, uninterrupted sitting is more strongly associated with adverse cardiometabolic outcomes than interrupted sitting [40,41].”
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“LPA was defined as 100–2019 counts/minute.”
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“Their accumulation of sitting time and duration of each sitting bout were higher than older adults reported in the Australian Diabetes, Obesity and Lifestyle Study, which also found that greater amounts of sitting time and prolonged sitting time were significantly associated with deleterious cardiovascular health outc…”
ResultBalancing our day for heart health
Healy, G. N. (2023) · European Heart Journal · doi:10.1093/eurheartj/ehad824 · Cited by 3
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“• Prolonged sitting time refers to sitting continuously for 30 minutes of more (Bellettiere et al., 2017).”
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“9 This behaviour pattern is particularly marked in university students who accumulate this time during their lectures.”
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“For instance, ‘bout’ analysis, a central approach in sedentary behavior research, addresses the fragmentation of behaviors like sitting and standing over time (Bellettiere et al., 2017; Chastin et al., 2015).”
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“In this study, we calculated the exponent alpha, which is a recommended approach if the patterns of SB are of interest [36,37,50], as it indicates the distribution of SB patterns.”
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Metadata
- Authors
- Bellettiere, J., Winkler, E. A. H., Chastin, S. F. M., Kerr, J., Owen, N., Dunstan, D. W., & Healy, G. N.
- Affiliations
- San Diego State University (US)
- The University of Queensland (AU)
- Glasgow Caledonian University (GB)
- University of California San Diego (US)
- Baker Heart and Diabetes Institute (AU)
- Corresponding author
- Bellettiere, John
- Winkler, Elisabeth A. H.
- Chastin, Sebastien F. M.
- Kerr, Jacqueline
- Owen, Neville
- Dunstan, David W.
- Healy, Genevieve N.
- ORCID
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2017-06-29
- Volume
- 12
- Issue
- 6
- Pages
- e0180119
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC5491133
- OpenAlex
- W2729779756
- Cited by
- 169
- References
- 45
- Citations by year
- 2026: 2 · 2025: 11 · 2024: 14 · 2023: 13 · 2022: 19 · 2021: 38 · 2020: 22 · 2019: 29 · 2018: 18 · 2017: 3
- FWCI
- 14.57
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- UniSA Research Outputs Repository (University of South Australia) (acceptedVersion, other-oa)
- ResearchOnline (Glasgow Caledonian University) (acceptedVersion, cc-by)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion, other-oa)
- Minerva Access (University of Melbourne) (submittedVersion, cc-by)
- Research Bank (Australian Catholic University) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Own your potential (DEAKIN) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Swinburne figshare (Swinburne University of Technology) (submittedVersion, cc-by)
- Swinburne figshare (Swinburne University of Technology) (cc-by)
- Funders
- National Health and Medical Research Council (566940, 1000986, 1003960, 1078360, 108029, 233200)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Social Sciences › Human Factors and Ergonomics › Ergonomics and Musculoskeletal Disorders
- Keywords
- sedentary behavior, prolonged sitting, body mass index, waist circumference, HDL cholesterol, triglycerides, HbA1c, post-load glucose, blood pressure, Australian adults
- MeSH terms
- Adult, Aged, Aged, 80 and over, Australia, Cardiovascular Diseases, Female, Humans, Male, Middle Aged, Posture, Biomarkers, Young Adult, 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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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