Table 4.
Associations between significant characteristics after bi-variate analysis and race time for men using multiple linear regression
| Men (n=147) | β | SE | P |
|---|---|---|---|
| Body mass | -0.3 | 0.2 | 0.1 |
| Body mass index | 1.9 | 0.8 | 0.01 |
| Circumference of upper arm | 0.1 | 0.6 | 0.9 |
| Percent body fat | 0.6 | 0.3 | 0.03 |
| Weekly running kilometers | -0.2 | 0.1 | 0.1 |
| Minimal weekly running distance | -0.1 | 0.1 | 0.3 |
| Maximal weekly running distance | 0.003 | 0.06 | 0.9 |
| Weekly running hours | 1.4 | 0.9 | 0.1 |
| Number of training units | -1.8 | 1.3 | 0.1 |
| Distance per training unit | -0.3 | 0.4 | 0.4 |
| Speed in running training | -3.7 | 0.8 | <0.0001 |
| Body mass | 0.004 | 0.1 | 0.9 |
| Circumference of upper arm | 0.5 | 0.6 | 0.4 |
| Percent body fat | 0.8 | 0.3 | 0.008 |
| Weekly running kilometers | -0.2 | 0.1 | 0.1 |
| Minimal weekly running distance | -0.1 | 0.1 | 0.3 |
| Maximal weekly running distance | -0.005 | 0.07 | 0.9 |
| Weekly running hours | 1.0 | 0.9 | 0.2 |
| Number of training units | -1.4 | 1.3 | 0.3 |
| Distance per training unit | -0.3 | 0.4 | 0.4 |
| Speed in running training | -4.1 | 0.8 | <0.0001 |
ß= regression coefficient; SE= standard error of the regression coefficient; the coefficient of determination (r2) of the model was 0.51. Body mass index, percentage of body fat and running speed during training were related to half-marathon race time. When body mass index was excluded, r2 remained decreased to 0.49, and both percentage of body fat and running speed during training remained predictive