TABLE 3.
Multivariate Logistic Regression Models Predicting Anterior Cruciate Ligament Injury Risk
| Predictor Variables | P Value | Odds Ratio |
|---|---|---|
| Model 1a | ||
| PTS | .061 | 1.12 |
| cBMI | .140 | 0.88 |
| PTS * cBMI | .050 | 1.03 |
| Model 2b | ||
| PTS | .049 | 1.12 |
| cHeight | .754 | 3.07 |
| PTS * cHeight | .497 | 1.42 |
| Model 3c | ||
| PTS | .045 | 1.13 |
| cWeight | .348 | 0.83 |
| PTS * cWeight | .055 | 1.06 |
| Model 4d | ||
| MCS | .037 | 1.13 |
| cBMI | .707 | 0.98 |
| MCS * cBMI | .395 | 1.19 |
| Model 5e | ||
| MCS | .020 | 1.15 |
| cHeight | .288 | 32.98 |
| MCS * cHeight | .904 | 1.08 |
| Model 6f | ||
| MCS | .029 | 1.14 |
| cWeight | .812 | 1.04 |
| MCS * cWeight | .345 | 1.03 |
aModel 1: Results of the multivariate logistic regression model including posterior tibial slope (PTS), body mass index centered around the mean (cBMI), and the interaction variable (PTS * cBMI).
bModel 2: Results of the multivariate logistic regression model including PTS, height centered around the mean (cHeight), and the interaction variable (PTS * cHeight).
cModel 3: Results of the multivariate logistic regression model including PTS, weight centered around the mean (cWeight), and the interaction variable (PTS * cWeight).
dModel 4: Results of the multivariate logistic regression model including middle cartilage slope (MCS), cBMI, and the interaction variable (MCS * cBMI).
eModel 5: Results of the multivariate logistic regression model including MCS, cHeight, and the interaction variable (MCS * cHeight).
fModel 6: Results of the multivariate logistic regression model including MCS, cWeight, and the interaction variable (MCS * cWeight).