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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

From: Longitudinal associations between built environment characteristics and changes in active commuting

 

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)

 

-

-

-

-

  1. Model a: Univariate associations
  2. Model b: Adjusted for baseline age, sex and BMI as well as other environmental predictors listed