Table 1.
Sociodemographic characteristics, and circumstances during crash according to the status of the victim.
| Variables of interest | Status of the victim during crash | Total | P-value | |||
|---|---|---|---|---|---|---|
| Rider | Pillion passenger |
Pedestrian | ||||
| n=89 | n=34 | n =9 | ||||
| Sex (N=132) | Male | 89 (74.2%) | 24 (20%) | 7 (5.8%) | 120 (90.9%) | <0.001 |
| Female | - | 10 (83.3%) | 2 (16.7%) | 12 (9.1%) | ||
| Age group (N=132) | 0-21 | 17 (68%) | 7 (28%) | 1 (4%) | 25 (18.9%) | 0.846 |
| 21-40 | 68 (67.3%) | 26 (25.7%) | 7 (6.9%) | 101 (76.5%) | ||
| 41-60 | 4 (66.7%) | 1 (16.7%) | 1 (16.7%) | 6 (4.5%) | ||
| Mean age | 27.55±7.01 | 25.35±5.55 | 29.67±8.52 | 27.13±6.87 | 0.147 | |
| Time of crash (N=132) | Morning | 10 (71.4%) | 3 (21.4%) | 1 (7.1%) | 14 (10.6%) | 0.242 |
| Afternoon | 17 (85%) | 3 (15%) | - 20 (15.2%) | |||
| Evening | 19 (54.3%) | 11 (31.4%) | 5 (14.3%) | 35 (26.5%) | ||
| Night | 43 (68.3%) | 17 (27.0%) | 3 (4.8%) | 63 (47.7%) | ||
| Status of road maintenance (N=132) | Well | 70 (68.6%) | 27 (26.5%) | 5 (4.9%) | 102 (77.3%) | 0.272 |
| Poor | 19 (63.3%) | 7 (23.3%) | 4 (13.3%) | 30 (22.7%) | ||
| Helmet use (N=123) | Yes | 49 (94.2%) | 3 (5.8%) | - | 52 (42.3%) | >0.001 |
| No | 40 (56.3%) | 31 (43.7%) | - | 71 (57.7%) | ||
| Type of helmet (N= 52) | Full face | 16 (94.1%) | 1 (5.9%) | - | 17 (32.7%) | 0.981 |
| Half face | 33 (94.3%) | 2 (5.7%) | - | 35 (67.3%) | ||
| Speed (km/hr) of motorcycle during crash (N=132) | 0-30 | 9 (81.8%) | 1 (9.1%) | 1 (9.1%) | 11 (8.3%) | 0.791 |
| 31-60 | 57 (67.1%) | 22 (25.9%) | 6 (7.1%) | 85 (64.4%) | ||
| > 60 | 23 (63.9%) | 11 (30.6%) | 9 (5.6%) | 36 (27.3% | ||