Journal article

Associations of Sedentary Time with Fat Distribution in a High-Risk Population

Joseph Henson, Charlotte L Edwardson, Bruno Morgan, Mark A Horsfield, Danielle H Bodicoat, Stuart JH Biddle, Trish Gorely, Myra A Nimmo, Gerry P Mccann, Kamlesh Khunti, Melanie J Davies, Thomas Yates

Medicine & Science in Sports & Exercise | LIPPINCOTT WILLIAMS & WILKINS | Published : 2015

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 multi..

View full abstract

University of Melbourne Researchers

Grants

Awarded by National Prevention Research Initiative (MRC)


Awarded by Medical Research Council


Awarded by National Institute for Health Research


Funding Acknowledgements

The research was supported by the National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care-Leicestershire, Northamptonshire, and Rutland, the University of Leicester Clinical Trials Unit, and the NIHR Leicester-Loughborough Diet, Lifestyle, and Physical Activity Biomedical Research Unit, which is a partnership among University Hospitals of Leicester National Health Service (NHS) Trust, Loughborough University, and the University of Leicester.MRI scans (for the WA cohort only) were funded by Unilever Discover, UK. Project STAND was funded by the Medical Research Council and National Prevention Research Initiative funding partners (MRC project number 91409). Dr. G. McCann is funded by a post-doctoral NIHR fellowship.