| Title: | Body Composition Profiling in the UK Biobank Imaging Study |
| Journal: | Obesity |
| Published: | 22 May 2018 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/29785727/ |
| DOI: | https://doi.org/10.1002/oby.22210 |
| URL: | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/oby.22210 |
| Citations: | 148 (62 in last 2 years) as of 8 Aug 2024 |
Publication 4379
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
Abstract
OBJECTIVE: This study aimed to investigate the value of imaging-based multivariable body composition profiling by describing its association with coronary heart disease (CHD), type 2 diabetes (T2D), and metabolic health on individual and population levels.</p>
METHODS: The first 6,021 participants scanned by UK Biobank were included. Body composition profiles (BCPs) were calculated, including abdominal subcutaneous adipose tissue, visceral adipose tissue (VAT), thigh muscle volume, liver fat, and muscle fat infiltration (MFI), determined using magnetic resonance imaging. Associations between BCP and metabolic status were investigated using matching procedures and multivariable statistical modeling.</p>
RESULTS: Matched control analysis showed that higher VAT and MFI were associated with CHD and T2D (P < 0.001). Higher liver fat was associated with T2D (P < 0.001) and lower liver fat with CHD (P < 0.05), matching on VAT. Multivariable modeling showed that lower VAT and MFI were associated with metabolic health (P < 0.001), and liver fat was nonsignificant. Associations remained significant adjusting for sex, age, BMI, alcohol, smoking, and physical activity.</p>
CONCLUSIONS: Body composition profiling enabled an intuitive visualization of body composition and showed the complexity of associations between fat distribution and metabolic status, stressing the importance of a multivariable approach. Different diseases were linked to different BCPs, which could not be described by a single fat compartment alone.</p>
11 Authors
- Jennifer Linge
- Magnus Borga
- Janne West
- Theresa Tuthill
- Melissa R. Miller
- Alexandra Dumitriu
- E. Louise Thomas
- Thobias Romu
- Patrik Tunón
- Jimmy D. Bell
- Olof Dahlqvist Leinhard
Enabling scientific discoveries that improve human health