Table 3 Distribution of severe injuries (ISS ≥ 8) according to a set of independent variables
Variable | Injury Severity Score | P value | |
|---|---|---|---|
ISS ≥ 8 n (%) | ISS < 8 n (%) | ||
Helmet type | |||
1. Nonstandard helmet | 306 (49.84%) | 308 (50.16%) | 0.051 |
2. Standard helmet | 49 (40.16%) | 73 (59.84%) | |
Age | |||
1. ≥ 65 years | 50 (65.79%) | 26 (34.21%) | 0.001 |
2. Other age group | 309 (46.26%) | 359 (53.74%) | |
Sex | |||
1. Male | 221 (49.66%) | 224 (50.34%) | 0.348 |
2. Female | 138 (46.15%) | 161 (53.85%) | |
Occupation | |||
1. Full-time job | 196 (46.67%) | 224 (53.33%) | 0.518 |
2. No full-time job | 136 (49.45%) | 139 (50.55%) | |
Auditory disease | |||
1. Yes | 12 (52.17%) | 11 (47.83%) | 0.152 |
2. No | 333 (48.05%) | 360 (51.95%) | |
Visual illness | |||
1. Yes | 189 (50.13%) | 188 (49.87%) | 0.839 |
2. No | 165 (46.74%) | 188 (53.26%) | |
Anaemia | |||
1. Yes | 35 (59.32%) | 24 (40.68%) | 0.076 |
2. No | 311 (47.26%) | 347 (52.74%) | |
Hypertension | |||
1. Yes | 46 (47.92%) | 50 (52.08%) | 0.954 |
2. No | 300 (48.23%) | 322 (51.77%) | |
Time of traffic | |||
1. Dawn/night | 83 (53.21%) | 73 (46.79%) | 0.281 |
2. Daylight | 254 (48.29%) | 272 (51.71%) | |
Traffic location | |||
1. Downtown area | 269 (47.28%) | 300 (52.72%) | 0.522 |
2. Provincial highway | 20 (52.63%) | 18 (47.37%) | |
Other protective gears | |||
1. No | 57 (49.57%) | 58 (50.43%) | 0.767 |
2. Yes | 297 (48.06%) | 321 (51.94%) | |
Crash type | |||
1. Multiple vehicle | 272 (50.75%) | 264 (49.25%) | 0.011 |
2. Single vehicle | 79 (40.10%) | 118 (59.90%) | |
Medication before riding | |||
1. Yes | 19 (63.33%) | 11 (36.67%) | 0.091 |
2. No | 338 (47.61%) | 372 (52.39%) | |
Drunk riding | |||
1. Yes (BAC level > 0.03%) | 15 (68.18%) | 7 (31.82%) | 0.056 |
2. No (BAC level ≤ 0.03%) | 340 (47.49%) | 376 (52.51%) | |
Using a mobile phone | |||
1. Yes | 27 (65.85%) | 14 (34.15%) | 0.020 |
2. No | 330 (47.21%) | 369 (52.79%) | |