Table 4.
Binary logistic regression analysing the association of previous traumatic knee injuries and total training load with current knee overuse injuries
Dependent variable | Predictor | B | eB | SEB | P value* | |
Model 1: χ2=8.215, p=0.004, R2Nagelkerke=0.361, Cohen f=0.75, n=26 |
Current knee overuse injury (yes; no) | Previous severe traumatic knee injury (yes; no) | 2.516* | 12.375 | 0.976 | 0.010** |
Model 2: χ2=6.033, p=0.014, R2Nagelkerke=0.276 Cohen f=0.62, n=26 |
Current knee overuse injury (yes; no) | Total training hours | 0.023 (0.006 to 0.093)† |
1.023 | 0.376 | 0.034* |
*Level of significance: p<0.05, **p<0.01.
†Data are expressed as regression coefficients B and the lower and upper bias corrected accelerated bootstrapping-based CIs with 10 000 samples in brackets.