Table 3.
Associations between significant characteristics after bi-variate analysis and race time for the master half-marathoners, master marathoners and 100-km master ultra-marathoners using multiple linear regression analysis after removing the age variable
| Group | β | SE | P Value | |
|---|---|---|---|---|
| Half-marathoners(n=103) | Skeletal muscle mass | -0.3 | 0.3 | 0.3 |
| Percentage of body fat | 0.9 | 0.3 | 0.0003 | |
| Weekly running hours | 0.6 | 0.8 | 0.4 | |
| Weekly running kilometres | -0.3 | 0.08 | 0.002 | |
| Speed in running training | -4.3 | 0.8 | < 0.0001 | |
| Marathoners(n=91) | Skeletal muscle mass | 0.9 | 0.7 | 0.2 |
| Percentage of body fat | 2.2 | 0.6 | 0.0008 | |
| Weekly running hours | 0.8 | 1.3 | 0.5 | |
| Weekly running kilometres | -0.2 | 0.1 | 0.2 | |
| Speed in running training | -11.9 | 1.7 | < 0.0001 | |
| 100-km ultra-marathoners(n=155) | Skeletal muscle mass | -0.7 | 2.1 | 0.8 |
| Percentage of body fat | 10.5 | 2.0 | < 0.0001 | |
| Weekly running hours | 0.05 | 2.0 | 0.9 | |
| Weekly running kilometres | -1.6 | 0.4 | < 0.0001 | |
| Speed in running training | -3.0 | 4.2 | 0.5 | |
β = regression coefficient; SE = standard error of the regression coefficient. The coefficient of determination (r 2) of the model was 0.48 for master half-marathoners, 0.45 for master marathoners, and 0.36 for master ultra-marathoners, respectively