Table 2 |
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|
Regression models for fast food density (raw and z-score standardized data), King County, Washington State, USA census tracts |
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|
Area-based density (fast food restaurants/tract km2) |
Population-based density (fast food restaurants per tract capita) |
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|
|
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|
Raw data |
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|
Model 1 |
Coeff |
Std. error |
z value |
Pr(>|z|) |
Coeff |
Std. error |
z value |
Pr(>|z|) |
|
Intercept |
3.097 |
0.444 |
6.971 |
<0.001 |
-5.537 |
0.389 |
-14.243 |
<0.001 |
|
Median hh income ($1000) |
-0.066 |
0.006 |
-10.451 |
<0.001 |
-0.040 |
0.005 |
-7.349 |
<0.001 |
|
% Nonwhite |
-0.012 |
0.006 |
-1.986 |
0.047 |
-0.011 |
0.006 |
-1.968 |
0.049 |
|
Model 2 |
||||||||
|
Intercept |
1.084 |
0.469 |
2.310 |
0.021 |
-6.366 |
0.444 |
-14.332 |
<0.001 |
|
Median hh income ($1000) |
-0.045 |
0.006 |
-7.145 |
<0.001 |
-0.032 |
0.006 |
-5.376 |
<0.001 |
|
% Nonwhite |
-0.006 |
0.006 |
-0.97 |
0.332 |
-0.011 |
0.005 |
-1.944 |
0.052 |
|
Arterial density (km/km2) |
0.168 |
0.023 |
7.155 |
<0.001 |
0.086 |
0.023 |
3.767 |
<0.001 |
|
Standardized data |
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|
Model 1 |
||||||||
|
Intercept |
-0.959 |
0.089 |
-10.774 |
<0.001 |
-8.100 |
0.081 |
-99.963 |
<0.001 |
|
Median hh income ($1000) |
-1.292 |
0.124 |
-10.451 |
<0.001 |
-0.791 |
0.108 |
-7.349 |
<0.001 |
|
% nonwhite |
-0.198 |
0.100 |
-1.986 |
0.047 |
-0.176 |
0.089 |
-1.968 |
0.049 |
|
Model 2 |
||||||||
|
Intercept |
-1.029 |
0.083 |
-12.416 |
<0.001 |
-8.118 |
0.079 |
-102.344 |
<0.001 |
|
Median hh income ($1000) |
-0.879 |
0.123 |
-7.145 |
<0.001 |
-0.617 |
0.115 |
-5.376 |
<0.001 |
|
% nonwhite |
-0.089 |
0.092 |
-0.970 |
0.332 |
-0.171 |
0.088 |
-1.944 |
0.052 |
|
Arterial density |
0.569 |
0.080 |
7.155 |
<0.001 |
0.292 |
0.077 |
3.767 |
<0.001 |
|
|
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|
Hurvitz et al. International Journal of Behavioral Nutrition and Physical Activity 2009 6:46 doi:10.1186/1479-5868-6-46 |
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