| Title: | Total and regional fat-to-muscle mass ratio in relation to all-cause and cause-specific mortality in men and women |
| Journal: | The Journal of Clinical Endocrinology & Metabolism |
| Published: | 28 Aug 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/39193721/ |
| DOI: | https://doi.org/10.1210/clinem/dgae595 |
Publication 13072
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
CONTEXT: Fat-to-muscle mass ratio (FMR) has been considered a potentially useful indicator for assessing disease risk. However, the association between FMR and risk of death remains inconclusive.</p>
OBJECTIVE: To investigate the associations of FMR (the whole body, trunk, legs and arms) with all-cause and cause-specific mortality by sex.</p>
METHODS: A total of 337951 participants from the UK Biobank were included. Fat mass and muscle mass were estimated using a bioelectrical impedance assessment device. Cox proportional hazard regression was applied to explore the associations.</p>
RESULTS: During a median follow-up of 12.58 years, we recorded 22391 (6.62 %) deaths, of which 4427 were from cardiovascular disease, 11740 from cancer, and 1458 from respiratory disease. We observed associations of different shapes (U-shaped for whole body and trunk, L-shaped for legs, and J-shaped for arms) between FMR and all-cause mortality (P for non-linearity <0.001). Compared with the lowest quintile of whole body and trunk FMR, the all-cause mortality risk was reduced by 12-14% and 7-15% in men and women in quintile 2-4, respectively. The hazard ratio (HR) associated with arm FMR in men and leg FMR in men and women (quintile 5 vs 1) were 1.14 (95% CI 1.05, 1.23), 0.76 (0.71, 0.82), and 0.78 (0.70, 0.88) for all-cause mortality, respectively. The associations between FMR and cause-specific mortality were mostly similar to those for all-cause mortality.</p>
CONCLUSIONS: Our study revealed significant associations of total and regional FMR with mortality, providing new evidence that FMR may be a potentially useful indicator for assessing mortality risk.</p>
3 Authors
- Minzhi Xu
- Yanhong Gong
- Xiaoxv Yin
1 Application
| Application ID | Title |
|---|---|
| 88159 | Fine-mapping, genetic correlation and genetic risk prediction for complex traits in different populations |
Enabling scientific discoveries that improve human health