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Table 4

From: Physical activity as a possible mechanism behind the relationship between green space and health: A multilevel analysis

a: Multivariate regression analysis for the influence of the percentage of green space on sports and walking and cycling during leisure time: parameter and standard error [p-value]

 

Sports (n = 4.899)

Walking during Leisure time (n = 4.899)

Cycling during leisure time (n = 4.899)

 

1 km

3 km

1 km

3 km

1 km

3 km

Physically active (yes/no)

      

Percentage of green (1 km)

.002 (.002)

[p = .255]

 

-.007 (.002)

[p < .001]

 

-.006 (.002)

[p < .001]

 

Percentage of green (3 km)

 

.003 (.002)

[p = .234]

 

-.006 (.002)

[p = .009]

 

-.0004 (.003)

[p = .887]

Minutes of activity per week (calculated for those who are physically active)

      

Percentage of green (1 km)

.14 (.3)

[p = .582]

 

-.24 (.24)

[p = .317]

 

-.3 (.2)

[p = .145]

 

Percentage of green (3 km)

 

-.05 (.4)

[p = .897]

 

-.98 (.32)**

[p = .002]

 

-.3 (.3)

[p = .204]

Note All analyses are controlled for age, gender, level of education, income and urbanicity.

b: Multivariate regression analysis for the influence of the percentage of green space on walking and cycling for commuting purposes and gardening: parameter and standard error [p-value]

 

Walking for commuting purposes (n = 2.816)

Cycling for commuting purposes (n = 2.816)

Gardening (n = 3.951)

 

1 km

3 km

1 km

3 km

1 km

3 km

Physically active (yes/no)

      

Percentage of green (1 km)

.002 (.004)

[p = .5912]

 

-.005 (.002)

[p = .032]

 

.008 (.002)

[p < .001]

 

Percentage of green (3 km)

 

-.001 (.005)

[p = .844]

 

-.007 (.004)

[p = .110]

 

.005 (.003)

[p = .062]

Minutes of activity per week (calculated for those who are physically active)

      

Percentage of green (1 km)

.9 (.5)

[p = .086]

 

.83 (.2)

[p < .001]

 

1.4 (.3)

[p < .001]

 

Percentage of green (3 km)

 

.4 (.7)

[p = .622]

 

.62 (.25)*

[p = .014]

 

1.45 (.45)

[p = .001]

Note All analyses are controlled for age, gender, level of education, income and urbanicity.