Table 3. Binary Logistic Regression Analysis: Association Between the Relative Speed of the Opponent, Age and Gender of the Accident Victim, Using a Helmet, the Collision Partner and the Type of Collision (Independent Variables) and the Occurrence of a Fracture (Dependent Variable).
| Risk Factors | B(SE) | Sign. | Odds Ratio (OR) | 95% Confidence (CI) Interval for OR | |
|---|---|---|---|---|---|
| Lower value | Upper value | ||||
| Helmet (yes/ no) | -0.184 (0.329) | 0.577 | 0.832 | 0.437 | 1.586 |
| Relative Speed (km/h) | 0.042 (0.006) | <0.001 | 1.043 | 1.031 | 1.055 |
| Age, y | 0.015 (0.004) | 0.001 | 1.015 | 1.006 | 1.023 |
| Gender (male/ female) | -0.145 (0.177) | 0.414 | 0.865 | 0.611 | 1.225 |
| Collision partner a | |||||
| Car | -0.296 (0.598) | 0.622 | 0.744 | 0.231 | 2.403 |
| Utility vehicle | 0.612 (0.642) | 0.340 | 1.845 | 0.524 | 6.491 |
| Motorized two-wheeler | -0.044 (1.166) | 0.706 | 0.644 | 0.066 | 6.328 |
| Bicycle | 0.852 (0. 620) | 0.169 | 2.346 | 0.696 | 7.909 |
| Object | 1.09 (0.601) | 0.069 | 2.980 | 0.917 | 9.682 |
| Several | -0.627 (0.701) | 0.387 | 0.534 | 0.392 | 6.105 |
| Type of collision b | |||||
| Typ 2 | 0.487 (0.272) | 0.075 | 1.628 | 0.951 | 2.787 |
| Typ 3 | -0.546 (0.484) | 0.259 | 0.579 | 0.224 | 1.495 |
| Typ 4 | -0.377 (0.332) | 0.256 | 0.686 | 0.358 | 1.314 |
| Typ 5 | -0.195 (0.610) | 0.749 | 0.823 | 0.249 | 2.719 |
| Typ 6 | -0.071 (0.400) | 0.857 | 0.931 | 0.425 | 2.036 |
| Typ 7 | 1.034 (0.210) | <0.001 | 2.812 | 1.864 | 4.244 |
areference category: pedestrians.
breference category: collision with two-wheeler, pedestrian, object, or a fall (Type 1).