Table S4. Hierarchical linear regression models for composite performance score in the full sample. |
| Model |
Predictors added beyond base covariates |
Adjusted R2 |
ΔR2 |
Standardized β for myocardial index |
p value |
Maximum VIF |
| Base model |
Age, sex, discipline, training age, weekly load, body fat, skeletal muscle mass |
0.286 |
- |
- |
< 0.001 |
1.92 |
| Model 1 |
GLS |
0.407 |
0.121 |
βGLS = -0.34 |
< 0.001 |
1.98 |
| Model 2 |
GWE |
0.389 |
0.103 |
βGWE = 0.31 |
< 0.001 |
1.94 |
| Model 3 |
GLS + GWE |
0.462 |
0.176 |
βGLS = -0.27; βGWE = 0.24 |
< 0.001; 0.002 |
2.36 |
| Model 4 |
GLS + GWE + MPI |
0.474 |
0.012 |
βMPI = -0.13 |
0.041 |
2.48 |
| Model 5 |
GLS + GWE + MPI + GWW |
0.481 |
0.007 |
βGWW = -0.10 |
0.083 |
2.61 |
|
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