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. Author manuscript; available in PMC: 2016 Jun 1.
Published in final edited form as: Appl Geogr. 2015 Jun;60:197–203. doi: 10.1016/j.apgeog.2014.10.006

Table 3.

Adjusted odd ratios (95% Confidence interval) of the multilevel logistic models for odds of obesity (BMI ≥ 30).

Model 1 Model 2 Model 3
Individual-level variables
Age (18+) 1.133*** 1.133*** 1.133***
Age2 0.999*** 0.999*** 0.999***
Female 0.845*** 0.846*** 0.845***
White 1.063 1.063 1.059
Married 0.886** 0.885** 0.887**
College 0.834*** 0.835*** 0.827***
Self-employed 0.748*** 0.749*** 0.752***
Out of work for more than 1 year 1.142 1.144 1.129
Out of work for less than 1 year 1.119 1.123 1.113
Homemaker 0.829*** 0.828*** 0.826**
Student 0.879 0.876 0.838
Retired 1.054 1.055 1.050
Smoker 0.930* 0.931* 0.933*
Zip code-level variables
Poverty 3.149** 3.686** 3.471**
Street connectivity 1.002 1.002
Walk Score 0.999 1.000
Distance to park 1.007 1.011
Fast food accessibility 1.000 1.000
Metro 1.037 1.025
County-level variables
Poverty 0.996
Street connectivity 1.000
Walk Score 1.004
Distance to park 0.991
Ratio of fast-food to full-service 1.172*** 1.160***
Metro 0.875
AIC 23,599.08 23,595.30 23,581.16

Sample size: 21,961 individuals living in 299 zip codes, 29 counties.

***

p ≤ 0.001,

**

p ≤ 0.01,

*

p ≤ 0.05 (two-tailed tests).