
IqOR for the spatially unstructured variance (95% CrI)

IqOR for the spatially structured variance (95% CrI)

IqOR for the total betweenneighborhood variance (95% CrI)

Percentage of structured variance (95% CrI)


Recreational walking or not
   
Age and sex model

1.56 (1.35, 1.88)

1.77 (1.47, 2.13)

2.07 (1.76, 2.46)

62% (35%, 82%)

Individuallevel model

1.58 (1.36, 1.92)

1.64 (1.36, 1.98)

1.97 (1.67, 2.36)

53% (25%, 78%)

Environmental model

1.57 (1.36, 1.88)

1.34 (1.20, 1.52)

1.71 (1.48, 2.03)

29% (12%, 54%)

Recreational walking time in the neighborhood
   
Age and sex model

1.52 (1.33, 1.81)

1.85 (1.52, 2.23)

2.12 (1.83, 2.48)

68% (39%, 85%)

Individuallevel model

1.53 (1.34, 1.82)

1.97 (1.67, 2.34)

2.24 (1.95, 2.61)

72% (49%, 86%)

Environmental model

1.61 (1.39, 1.89)

1.36 (1.20, 1.65)

1.77 (1.53, 2.09)

30% (11%, 60%)

 Legend: CrI, credible interval; IqOR, interquartile odds ratio.
 ^{a}The first model only included age and sex. The second model further introduced individual sociodemographic variables and weather variables. The third model further included the environmental variables associated with each outcome (see Tables 4 and 5).
 ^{b}Regarding recreational walking or not, the IqOR of 2.07 for the total betweenneighborhood variance in the age and sex model indicates that the 25% of participants living in neighborhoods with the highest odds of recreational walking had 2.07 times larger odds of recreational walking than the 25% of participants residing in neighborhoods with the lowest odds of recreational walking. In the same model, 62% of the total between neighborhood variance was attributable to the spatially structured component of neighborhood variations. When progressively adding covariates to the models, spatially structured variations decreased to a large extent but spatially unstructured variations did not, resulting in a decreasing share of the total betweenneighborhood variability that was spatially structured.