Table 4.
Univariable binary logistic regression analysis.
| Exp(B) [95% C.I.] | p-Value | |
|---|---|---|
| Age | 1.289 [0.980–1.695] | 0.069 |
| Sex | 1.158 [0.182–7.384] | 0.877 |
| Side | 0.229 [0.240–2.198] | 0.201 |
| Previous fracture | 2.800 [0.212–37.03] | 0.434 |
| Delay | 1.029 [0.846–1.251] | 0.778 |
| AO Pediatric | 1.055 [0.554–2.011] | 0.870 |
| Paleopathology | 4.667 [0.720–30.23] | 0.106 |
Age (years), delay (days), and AO Pediatric classification were entered as continuous variables. The other variables were entered as dichotomous; sex (0 = female), side (0 = left), previous fracture (0 = none), and paleopathology criteria (0 = no).