Table 1.
Regression models obtained by multivariate stepwise regression analyses using as predicting variables variations in skin temperature (ΔTsk) and as inputs: age, sex, fat percentage, number of marathons performed in the past, running experience, time performed in the marathon, VO2max, ΔCK, and ΔLDH.
| Regression Models Obtained | |||
|---|---|---|---|
| Predicting Variable | Variable | Coefficient (CI95%) | R2 (p-Value) |
| ΔTsk Posterior lower limb | Constant Sex * Age Running experience |
1.79 (0.66, 2.93) 1.28 (0.73, 1.82) −0.05 (−0.09, −0.01) 0.07 (0.03, 0.11) |
0.71 (<0.01) |
| ΔTsk Anterior thigh and knee | Constant Sex * |
1.14 (0.80, 1.47) 0.66 (0.16, 1.17) |
0.36 (0.01) |
| ΔTsk Anterior leg | No variable was included | ||
* Note: For sex, men had a value of 1 and women of 2.