Associations of sedentary time with fat distribution in a high-risk population
Article
Article Title | Associations of sedentary time with fat distribution in a high-risk population |
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ERA Journal ID | 9788 |
Article Category | Article |
Authors | Henson, Joseph (Author), Edwardson, Charlotte L. (Author), Morgan, Bruno (Author), Horsfield, Mark A. (Author), Bodicoat, Danielle H. (Author), Biddle, Stuart J. H. (Author), Gorely, Trish (Author), Nimmo, Myra A. (Author), McCann, Gerry P. (Author), Khunti, Kamlesh (Author), Davies, Melanie J. (Author) and Yates, Thomas (Author) |
Journal Title | Medicine and Science in Sports and Exercise |
Journal Citation | 47 (8), pp. 1727-1734 |
Number of Pages | 8 |
Year | 2015 |
Publisher | Lippincott Williams & Wilkins |
Place of Publication | United States |
ISSN | 0195-9131 |
1530-0315 | |
Digital Object Identifier (DOI) | https://doi.org/10.1249/MSS.0000000000000572 |
Web Address (URL) | https://journals.lww.com/acsm-msse/Fulltext/2015/08000/Associations_of_Sedentary_Time_with_Fat.22.aspx |
Abstract | Purpose: The effect of sedentary behavior on regional fat deposition, independent of physical activity, remains equivocal. We examined the cross-sectional associations between objectively measured sedentary time and markers of regional fat distribution (heart, liver, visceral, subcutaneous, and total body fat) in a population at a high risk of type 2 diabetes mellitus (T2DM). Methods: Participants were recruited from primary care to two diabetes prevention programs. Sedentary time (<25 counts per 15 s) was measured using ActiGraph GT3X accelerometers. Heart, liver, visceral, subcutaneous, and total body fat were quantified using magnetic resonance images. Fat volumes were calculated by multiplying the cross-sectional areas of the fat-containing pixels by the slice thickness. The liver fat percentage was measured using a representative region of interest created in the right lobe of the liver, avoiding the main portal veins. Linear regression models examined the association of sedentary time with markers of regional fat deposition. Results: Sixty-six participants (age, 47.9 T 16.2 yr; male, 50.0%) were included. After adjustment for several covariates, including glycemia, whole-body fat, and moderate-to-vigorous physical activity, each 30 min of sedentary time was associated with 15.7 cm3 higher heart fat (P = 0.008), 1.2% higher liver fat (P = 0.026), and 183.7 cm3 higher visceral fat (P = 0.039). Conclusions: This study provides new evidence suggesting that objectively measured sedentary behavior may have an independent association with heart, liver, and visceral fat in individuals at a high risk of T2DM. |
Keywords | Fat distribution; High risk; MRI; Primary care; Sedentary behavior; Type 2 diabetes; Adolescent; Adult; Aged; Body Fat Distribution; Cross-Sectional Studies; Diabetes Mellitus, Type 2; Humans; Magnetic Resonance Imaging; Male; Middle Aged; Risk-Taking; Sedentary Lifestyle; Young Adult; General; |
ANZSRC Field of Research 2020 | 420702. Exercise physiology |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | University of Leicester, United Kingdom |
Victoria University | |
University of Stirling, United Kingdom | |
University of Birmingham, United Kingdom | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q41xy/associations-of-sedentary-time-with-fat-distribution-in-a-high-risk-population
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