| Â | Model 1 | Model 2 | Model 3 | Model 4 |
|---|
| Â | Std. beta | P-value | Std. beta | P-value | Std. beta | P-value | Std. beta | P-value |
|---|
VAT | 0.13 | 0.002 | 0.09 | 0.042 | 0.15 | 0.001 | 0.19 | 0.002 |
SAT | − 0.04 | 0.412 | − 0.11 | 0.02 | − 0.03 | 0.455 | 0.01 | 0.912 |
LBF | − 0.11 | 0.011 | − 0.17 | 0.001 | − 0.12 | 0.005 | − 0.18 | 0.054 |
- Separate multivariable adjusted linear regression models for VAT, SAT, LBF (independent variables) respectively, and Ecc (dependent variable). Model 1 adjusts for CVD risk factors including age, sex, race, smoking, fasting glucose, diabetes status, hypertension status, systolic blood pressure, and lean body mass. Model 2 adjusts for CVD risk factors and CRF. Model 3 adjusts for CVD risk factors, CRF, and LV parameters (LV mass, LVEF). Model 4 adjusts for CVD risk factors, CRF, and LV parameters (LV mass, LVEF), and includes VAT, SAT, and LBF in the same model. Standardized beta estimate represents change in the outcome of interest per 1-SD increase in the primary exposure variable keeping other covariates fixed. VAT visceral adipose tissue, SAT subcutaneous adipose tissue, LBF lower-body fat, peak systolic circumferential strain (Ecc), left ventricular systolic strain, CVD cardiovascular disease, CRF cardiorespiratory fitness, LV left ventricular, EF ejection fraction
