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. 2017 May 17;17:458. doi: 10.1186/s12889-017-4396-3

Table 3.

Crude and adjusted odds ratio in simple and multiple logistic regression analyses of the association between neighbourhood and route environment characteristics and change in commuting mode stratified by commuting modes at baseline, with adjustment for age, sex and BMI

Uptake of active commuting Maintenance of active commuting
Model a p Model b p Model a p Model b p
OR (95% CI) OR (95% CI) OR (95% CI) OR (95% CI)
Neighbourhood Environment
 Effective walkable area (EWA) (Reference: Lowest)
 Second quartile 0.69 (0.36–1.31) 0.02 0.62 (0.30–1.29) 0.02
 Third Quartile - - - - 0.85 (0.44–1.63) 0.75 (0.35–1.60)
 Highest - - - - 0.43 (0.22–0.82) 0.32 (0.15–0.68)
Route Environment
 Distance from home to work (Reference: <1.5 km)
 1.5–4 km 0.31 (0.19–0.52) <0.001 0.23 (0.13–0.39) <0.001 2.94 (1.59–5.42) <0.001 2.85 (1.45–5.59) <0.001
 4–10 km 0.08 (0.04–0.13) 0.06 (0.03–0.11) 8.34 (4.33–16.10) 8.82 (4.15–18.80)
 Main or secondary road on route (Reference: No)
 Yes - - - - 2.71 (1.56–4.69) <0.001 1.97 (1.04–3.73) 0.04
 Number of streetlights per 100 m (Reference: Lowest)
 Second quartile 3.54 (1.83–6.86) <0.001 2.54 (1.24–5.21) <0.001 - - - -
 Third Quartile 2.26 (1.12–4.58) 2.04 (0.95–4.39) - - - -
 Highest 4.77 (2.46–9.24) 5.45 (2.62–11.33) - - - -

Model a: Univariate associations

Model b: Adjusted for baseline age, sex and BMI as well as other environmental predictors listed