Table.
Relative risks (95% confidence intervals) of being injured in a road traffic incident*
| Variables | Pedestrian | Bicyclist | Motor vehicle
|
|
|---|---|---|---|---|
| Passenger | Driver† | |||
| ICD-9 codes | E819H | E807, E819G, E826 | E819B, E819D | E819A, E819C, E819J |
| Age 0-4 years | ||||
| Injuries per 100 000 person years | 5.61 | 18.02 | 8.05 | |
| Sex: | ||||
| Female | 1.0 | 1.0 | 1.0 | |
| Male | 1.40 (1.03 to 1.90) | 1.44 (1.21 to 1.72) | 0.94 (0.74 to 1.20) | |
| Household socioeconomic status: | ||||
| Employees with high or intermediate salaries | 1.0 | 1.0 | 1.0 | |
| Employees with low salaries | 0.83 (0.46 to 1.48) | 1.06 (0.79 to 1.41) | 0.88 (0.56 to 1.38) | |
| Skilled workers | 1.12 (0.71 to 1.78) | 1.10 (0.86 to 1.41) | 0.95 (0.65 to 1.40) | |
| Unskilled workers | 1.55 (1.01 to 2.39) | 1.10 (0.85 to 1.42) | 1.23 (0.85 to 1.77) | |
| Age 5-9 years | ||||
| Injuries per 100 000 person years | 12.78 | 9.88 | 14.11 | |
| Sex: | ||||
| Female | 1.0 | 1.0 | 1.0 | |
| Male | 1.62 (1.30 to 2.02) | 1.55 (1.43 to 1.68) | 1.16 (0.94 to 1.42) | |
| Household socioeconomic status: | ||||
| Employees with high or intermediate salaries | 1.0 | 1.0 | 1.0 | |
| Employees with low salaries | 1.11 (0.75 to 1.66) | 1.27 (1.11 to 1.44) | 1.18 (0.84 to 1.66) | |
| Skilled workers | 1.38 (0.99 to 1.98) | 1.47 (1.31 to 1.64) | 1.17 (0.86 to 1.59) | |
| Unskilled workers | 2.33 (1.74 to 3.12) | 1.51 (1.35 to 1.75) | 1.40 (1.04 to 1.88) | |
| Age 10-14 years | ||||
| Injuries per 100 000 person years | 16.53 | 130.44 | 17.22 | 25.78 |
| Sex: | ||||
| Female | 1.0 | 1.0 | 1.0 | 1.0 |
| Male | 1.04 (0.86 to 1.27) | 1.98 (1.83 to 2.13) | 1.01 (0.85 to 1.22) | 5.72 (4.62 to 7.08) |
| Household socioeconomic status: | ||||
| Employees with high or intermediate salaries | 1.0 | 1.0 | 1.0 | 1.0 |
| Employees with low salaries | 1.21 (0.90 to 1.62) | 1.14 (1.02 to 1.27) | 1.37 (1.03 to 1.83) | 1.76 (1.36 to 2.27) |
| Skilled workers | 0.84 (0.61 to 1.16) | 1.18 (1.07 to 1.32) | 1.06 (0.78 to 1.44) | 2.32 (1.85 to 2.90) |
| Unskilled workers | 1.09 (0.81 to 1.46) | 1.37 (1.24 to 1.51) | 1.36 (1.03 to 1.80) | 2.18 (1.73 to 2.74) |
| Age 15-19 years | ||||
| Injuries per 100 000 person years | 17.34 | 69.96 | 58.41 | 169.13 |
| Sex: | ||||
| Female | 1.0 | 1.0 | 1.0 | 1.0 |
| Male | 1.06 (0.88 to 1.28) | 1.38 (1.25 to 1.51) | 0.99 (0.89 to 1.09) | 5.38 (4.96 to 5.83) |
| Household socioeconomic status: | ||||
| Employees with high or intermediate salaries | 1.0 | 1.0 | 1.0 | 1.0 |
| Employees with low salaries | 1.05 (0.78 to 1.41) | 0.99 (0.85 to 1.14) | 1.34 (1.14 to 1.58) | 1.41 (1.29 to 1.55) |
| Skilled workers | 0.97 (0.72 to 1.31) | 1.06 (0.92 to 1.22) | 1.64 (1.41 to 1.90) | 1.74 (1.60 to 1.90) |
| Unskilled workers | 1.55 (1.20 to 2.00) | 1.22 (1.07 to 1.40) | 1.96 (1.70 to 2.26) | 1.70 (1.57 to 1.86) |
*
Diagnostic category is according to ICD-9 (international classification of diseases, ninth revision).
†
For moped related injuries, both drivers and passengers fall into the category “driver” because the classification does not distinguish between those two groups.