Table 3 Logistic multi-level analyses of sociodemographic, physical environmental and psychosocial correlates of transportation mode to school
From: Criterion distances and correlates of active transportation to school in Belgian older adolescents
Dependent variable: Transportation mode to school: 0 = passive transportation, 1 = active transportation | |||
|---|---|---|---|
Predictor | β (SE) | Odds ratio | 95% CI |
Gender (ref: male) | -0.539 (0.184) | 0.58 | 0.41, 0.84* |
Educational attainment mother (ref: no college/univ) | -0.176 (0.190) | 0.84 | 0.58, 1.21 |
Educational attainment father (ref: no college/univ) | 0.146 (0.187) | 1.16 | 0.80, 1.67 |
Smoking status (ref: non-smoker) | -0.488 (0.207) | 0.61 | 0.41, 0.92* |
Body Mass Index | 0.028 (0.028) | 1.03 | 0.97, 1.09 |
Walkability Z-score | 0.091 (0.033) | 1.10 | 1.02, 1.17* |
Walking infrastructure | 0.127 (0.173) | 1.14 | 0.81, 1.60 |
Cycling infrastructure | -0.024 (0.176) | 0.98 | 0.69, 1.38 |
Safety for bicycle theft | 0.232 (0.212) | 1.26 | 0.83, 1.91 |
Traffic safety | 0.117 (0.175) | 1.12 | 0.80, 1.58 |
Social modeling | 0.211 (0.102) | 1.23 | 1.01, 1.51* |
Social norm | -0.016 (0.088) | 0.98 | 0.83, 1.17 |
Social support | 0.089 (0.134) | 1.09 | 0.84, 1.42 |
Self-efficacy | 0.033 (0.130) | 1.03 | 0.80, 1.33 |
Attitude towards PA | 0.111 (0.098) | 1.12 | 0.92, 1.35 |