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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 4.

Adjusted odd ratios (95% Confidence interval) of the multilevel logistic models for odds of overweight or obesity (BMI ≥ 25).

Model 1 Model 2 Model 3
Individual-level variables
Age (18+) 1.135*** 1.136*** 1.136***
Age2 0.999*** 0.999*** 0.999***
Female 0.475*** 0.475*** 0.475***
White 1.058 1.058 1.054
Married 1.039 1.039 1.040
College 0.823*** 0.824*** 0.820***
Self-employed 0.820*** 0.821*** 0.821***
Out of work for more than 1 year 0.964 0.964 0.962
Out of work for less than 1 year 0.967 0.970 0.969
Homemaker 0.734*** 0.734*** 0.734***
Student 0.861* 0.859 0.858
Retired 0.941 0.941 0.942
Smoker 0.945* 0.945* 1.768*
Zip code-level variables
Poverty 2.104** 2.376* 1.768
Street connectivity 1.000 1.000
Walk Score 1.000 1.000
Distance to park 1.009 1.014* 1.012***
Fast food accessibility 0.999* 0.999
Metro 1.003 0.975
County-level variables
Poverty 0.997
Street connectivity 1.000
Walk Score 1.005
Distance to park 0.991
Ratio of fast-food to full-service 1.128*** 1.120***
Metro 0.926
AIC 27,604.79 27,599.70 27,585.17

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

***

p ≤ 0.001,

**

p ≤ 0.01,

*

p ≤ 0.05 (two-tailed tests).