Table 5. Estimates of helmet wearing effect (Yes vs. No) in multiple logistic regression analysis for close passing using various cut points.
Cut point | aOR | 95% CI | p-value |
0.5m* | – | – | – |
0.75m+ | 1.01 | 0.33–3.11 | 0.993 |
1.0m | 1.13 | 0.76–1.68 | 0.540 |
1.5m | 1.21 | 1.02–1.44 | 0.028 |
2.0m | 1.46 | 1.13–1.89 | 0.004 |
There were only two passing events less than 0.5 m. In each case, Walker did not wear a helmet.
+There were only 13 overtaking events less than 0.75 m. Close passing events occurred 0.6% and 0.5% of the time when wearing and not wearing a helmet respectively.