Table 2

Multivariate analysis—significant variables predictive of lower helmet use by age categories

Age group (years)Significant variablesAdjusted odds ratios (95% CI)Non-significant variables*
*Variables listed in order of being dropped from the stepwise logistic regression analysis.
<8Lower income5.0 (2.2 to 11.5)Riding near a school
Riding rurally2.3 (1.3 to 4.3)Riding in a park
Sex (male)1.9 (1.2 to 3.0)Riding near major intersection
Riding with other children
Riding with adult(s)
8–11Riding rurally5.4 (1.8 to 16.1)Riding near major intersection
Lower income5.4 (1.1 to 26.3)Riding with other children
Riding in a park0.39 (0.17 to 0.90)Riding near a school
Riding with adult(s)0.14 (0.05 to 0.38)Sex
12–15Riding with adult(s)0.25 (0.08 to 0.81)Income
Riding near a school
Sex
Riding with other children
Riding near major intersection
Riding in a park
Riding rurally
16–19Riding rurally/lower income6.5 (1.7 to 24.4)Riding in a park
Riding with adult(s)0.20 (0.05 to 0.92)Riding with other children
Riding near major intersection
Riding near a school
Sex
>19Riding rurally12.1 (4.3 to 34.5)Riding on cycling path
Income $9719–$18 3346.1 (3.1 to 11.8)Riding with other adults
Income $18 335–32 9572.9 (2.1 to 4.1)Riding in a park
Income $32 958–47 5812.0 (1.5 to 2.9)Riding with children
Sex (male)1.4 (1.1 to 1.9)Riding near a school
Riding near a major intersection0.61 (0.46 to 0.80)