Table 3

Logistic regression results: factors associated with helmet use, for riders under age 16

VariableCoefficientSEp ValueAdjusted OR (with 95% CI)
*Reference category.
Intercept 1−2.4350.6925<0.010.09 (0.02 to 0.34)
Intercept 2−1.8800.6924<0.010.15 (0.04 to 0.59)
Intercept 3−1.0790.66340.100.34 (0.09 to 1.25)
Age group (years)
    <120.7000.2940.022.01 (1.13 to 3.59)
    12–15*001.0
Gender
    Male0.1950.2920.501.21 (0.68 to 2.15)
    Female*001.0
State helmet law
    Yes0.9730.367<0.012.65 (1.29 to 5.44)
    No*001.0
Riding hours per month0.00790.0028<0.011.008 (1.002 to 1.014)
Region
    Northeast−0.8230.5190.110.44 (0.16 to 1.21)
    Midwest−0.5220.4840.280.59 (0.23 to 1.53)
    South−1.1010.4350.010.33 (0.14 to 0.78)
    West*001.0
Education
    High school or less*001.0
    Some college1.1050.329<0.013.02 (1.58 to 5.76)
    College graduate1.2680.5530.023.55 (1.20 to 10.53)
Household income ($)
    <15000*001.0
    15000 to <300000.8960.5120.082.45 (0.90 to 6.69)
    30000 to <450001.4880.524<0.014.43 (1.58 to 12.38)
    ≥450001.7340.462<0.015.66 (2.29 to 14.00)
n=259, χ2=67.6