Table 3 Multivariate analysis- Logistic Regression for ocular injury.
From: Ocular injuries associated with two-wheeled electric transportation devices and motorcycle accidents
Variable | OR | 95% CI | P-value |
---|---|---|---|
Gender | |||
Male vs. Female | 1.2 | 0.887–1.621 | 0.266 |
Age | |||
15–29 vs 0–14 | 1.4 | 1.001–1.934 | 0.056 |
30–44 vs 0–14 | 1.4 | 0.975–1.995 | 0.074 |
45 + vs 0–14 | 1.4 | 0.965–1.996 | 0.083 |
Protective gear | |||
Without helmet vs. helmet | 2.4 | 1.814–3.157 | < .0001 |
Seasonality | |||
Autumn vs. Summer | 1.1 | 0.839–1.317 | 0.663 |
Winter vs. Summer | 1 | 0.779–1.288 | 0.979 |
Spring vs. Summer | 1.2 | 0.919–1.445 | 0.219 |
Type of 2-wheeled device | |||
Electric bicycle and scooter vs. Motorcycle | 1.4 | 1.116–1.770 | 0.004 |