Table 2

Results of multi-level logistic regression analysis examining potential risks for active transportation injury associated with engagement in active transportation to school (N=20 076)

Injury type: active transportation levelN% InjuredBivariate model, OR (95% CI)Model 1*, OR (95% CI)Model 2, OR (95% CI)Model 3, OR (95% CI)
Active transportation injuries
 No13 4881.51.001.001.001.00
 Yes: short distance50492.11.17 (0.92 to 1.50)1.13 (0.88 to 1.45)1.12 (0.87 to 1.44)1.13 (0.88 to 1.44)
 Yes: long distance15392.71.56 (1.10 to 2.21)1.53 (1.08 to 2.17)1.55 (1.09 to 2.20)1.52 (1.08 to 2.15)
 p Trend 0.010.020.020.02
Walking/running injuries
 No13 4880.41.001.001.001.00
 Yes: short distance50490.81.54 (1.01 to 2.35)1.59 (1.04 to 2.44)1.52 (0.99 to 2.34)1.49 (0.98 to 2.29)
 Yes: long distance15390.81.47 (0.78 to 2.79)1.52 (0.80 to 2.88)1.44 (0.76 to 2.73)1.43 (0.76 to 2.70)
 p Trend 0.060.050.080.08
Bicyling injuries
 No13 4881.11.001.001.001.00
 Yes: short distance50491.31.02 (0.76 to 1.39)0.95 (0.70 to 1.29)0.95 (0.70 to 1.31)0.98 (0.72 to 1.33)
 Yes: long distance15391.91.59 (1.05 to 2.40)1.49 (0.98 to 2.25)1.59 (1.05 to 2.41)1.55 (1.03 to 2.35)
 p Trend 0.080.200.130.13
  • * Adjusted for individual-level variables (gender, age, ethnicity, family socioeconomic status, perceived neighbourhood safety and participation in organised sports).

  • Adjusted for retained individual-level variables (age) and area-level variables (urban/rural geographic status, street connectivity, speed limit surrounding school, % roads with speed limit ≤60 km/h, total length of roads, school neighbourhood median family income, total rain and total snow).

  • Adjusted for retained individual (age) and area-level (urban/rural geographic status) variables.