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. 2022 Jun 27;7(1):e000875. doi: 10.1136/tsaco-2021-000875

Table 3.

Mortality and injury risks associated with helmet use

Patient characteristics Helmet No helmet Univariate
OR (95% CI)
Multivariate
OR (95% CI)
(n=1821) (n=5338)
Intracranial injury 835 (45.9) 2999 (56.2) 0.66 (0.59 to 0.74) 0.69 (0.61 to 0.77)
 Epidural hematoma 13 (0.7) 132 (2.5) 0.28 (0.16 to 0.50) 0.31 (0.17 to 0.56)
 Subdural hematoma 155 (8.5) 792 (14.8) 0.53 (0.45 to 0.64) 0.50 (0.42 to 0.61)
 Subarachnoid hematoma 231 (12.7) 836 (15.7) 0.78 (0.67 to 0.91) 0.76 (0.64 to 0.89)
 Skull fracture 329 (18.1) 1680 (31.5) 0.48 (0.42 to 0.55) 0.51 (0.45 to 0.59)
Facial injury 271 (14.9) 1058 (19.8) 0.70 (0.61 to 0.82) 0.76 (0.66 to 0.89)
Cervical spine injury 254 (13.9) 478 (8.9) 1.65 (1.40 to 1.94) 1.69 (1.47 to 1.96)
Severe injury 794 (46.3) 2421 (48.6) 0.91 (0.82 to 1.02) 0.92 (0.82 to 1.03)
Mortality 88 (4.8) 441 (8.3) 0.56 (0.45 to 0.71) 0.53 (0.42 to 0.67)

Covariates in the multivariate logistic regression models included age >65, gender, insurance status, and intoxication. In the mortality analysis, we additionally included head injury and abdominal injury in the multivariate model.