The Influence of the Local Neighbourhood Environment on Walking Levels during the Walking for Wellbeing in the West Pedometer-Based Community Intervention

Table 3

Multiple linear regression analysis predicting step counts at baseline and at each monitoring period postintervention.

Baseline^2

3 months^2

6 months

12 months

b

SE b

β

b

SE b

β

b

SE b

β

b

SE b

β

Step 1

Age^1

Gender

Income (annual household)

SIMD rank

Step   2

Green space and recreation facilities (Fac. 1)^1

−12667.3

5411.4

−.34^*

Commercial and residential land use mix (Fac. 2)

1896.3

582.7

.40^*

1259.5

622.4

.30^†

Dangerous and busy roads (Fac. 3)^1

−23.7

11.2

−.25^*

−28.0

13.7

−.28^*

−6376.0

2574.6

−.31^*

Pathway features other than safety (Fac. 4)^1

Pathway safety features (Fac. 5)

Roads and bus stops (Fac. 6)

Indoor fitness fac. and traffic calming feat. (Fac. 7)^2

5576.3

2512.4

.27^*

Traffic signals and pedestrian signage (Fac. 8)

−1295.7

531.7

−.30^*

Constant

44.3

18.0

55.1

22.1

−12709.5

6992.2

39003.28

12478.1

𝑅^2 Step  1 (adj. 𝑅^2)

Δ𝑅^2 Step  2 (adj. 𝑅^2)

Model / Step  2𝑅^2(adj. 𝑅^2)

0.06 (0.05)^*

0.08 (0.06)^*

0.343 (0.283)^**

0.19 (0.15)^*

Model 𝑃

0.038

0.046

0.001

0.018

¹Natural log transform; ²Square root transform
^∗<0.05. ^∗∗<0.01.
^†Borderline significant, 𝑃=0.05.