Research Article
Roles of Motorcycle Type and Protective Clothing in Motorcycle Crash Injuries
Table 3
Factors affecting protective clothes wearing (
1continuity correction (Yates) test,
2Pearson’s chi-square test,
3Fisher’s exact test,
, and
).
| | Age > 30 | Summer | License (−) | Alcohol (+) | Light motors |
| Helmet + | 84 (57.5%) | 68 (46.6%) | 21 (14.4%) | 2 (1.4%) | 106 (72.6%) | Helmet − | 55 (68.8%) | 26 (32.5%) | 39 (48.8%) | 7 (8.8%) | 68 (85.0%) | |
20.098 | | | | | ODDS | 1.624 | 0.552 | 5.662 | 6.904 | 2.138 | 95% CI | 0.913–2.887 | 0.312–0.976 | 2.994–10.706 | 1.399–34.077 | 1.048–4.364 |
| Jacket + | 47 (55.3%) | 36 (42.4%) | 4 (4.7%) | 2 (2.4%) | 50 (64.7%) | Jacket − | 92 (65.2%) | 58 (41.1%) | 56 (39.7%) | 7 (5.0%) | 119 (84.4%) | |
20.136 |
20.857 | |
30.489 | | ODDS | 1.518 | 0.951 | 13.341 | 2.168 | 2.950 | 95% CI | 0.875–2.632 | 0.551–1.641 | 4.627–38.471 | 0.440–10.686 | 1.562–5.574 |
| Pants + | 38 (34.3%) | 26 (37.1%) | 2 (2.9%) | 2 (2.9%) | 46 (65.7%) | Pants − | 101 (64.7%) | 68 (43.6%) | 58 (37.2%) | 7 (4.5%) | 128 (82.1%) | |
20.135 |
20.827 | |
30.724 | | ODDS | 1.546 | 1.308 | 20.122 | 1.597 | 2.835 | 95% CI | 0.871–2.744 | 0.733–2.333 | 4.753–85.198 | 0.323–7.891 | 1.256–4.527 |
| Glove + | 42 (55.3%) | 29 (38.2%) | 4 (5.3%) | 2 (2.6%) | 49 (64.5%) | Glove − | 97 (64.7%) | 65 (43.3%) | 56 (37.3%) | 7 (4.7%) | 125 (83.3%) | |
20.170 |
20.456 | |
30.721 | | ODDS | 1.482 | 1.239 | 10.723 | 1.811 | 2.755 | 95% CI | 0.844–2.601 | 0.705–2.179 | 3.716–30.946 | 0.367–8.938 | 1.458–5.206 |
| Shoe + | 26 (57.8%) | 17 (37.8%) | 2 (4.4%) | 1 (2.2%) | 24 (53.3%) | Shoe − | 113 (62.4%) | 77 (42.5%) | 58 (32.0%) | 8 (4.4%) | 150 (82.9%) | |
10.687 |
10.681 | |
30.692 | | ODDS | 1.214 | 1.219 | 10.138 | 2.035 | 4.234 | 95% CI | 0.625–2.358 | 0.623–2.385 | 2.374–43.925 | 0.248–16.699 | 2.099–8.541 |
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