Table 3.
Food retailer typea | Unadjusted models | Adjusted modelsb | ||
---|---|---|---|---|
OR | (95% CI) | OR | (95% CI) | |
Supermarkets | 0.912 | (0.840, 0.991)* | 0.951 | (0.897, 1.008) |
Medium food stores | 1.003 | (0.960, 1.049) | 1.011 | (0.976, 1.046) |
Small food stores | 1.004 | (1.000, 1.007) | 1.001 | (0.998, 1.004) |
Convenience stores | 1.010 | (0.996, 1.025) | 1.010 | (0.999, 1.021) |
General merchandise stores | 1.171 | (1.048, 1.309)** | 1.014 | (0.928, 1.108) |
Fast food restaurants | 1.007 | (0.995, 1.020) | 1.009 | (1.000, 1.019) |
OR odds ratio, CI confidence interval
Each cell represents a separate HLM regression model describing the relationship between obesity and the number of outlets of a specific retailer type
aNumber within 2-km neighborhood
bEach adjusted model included gender, race/ethnicity, poverty index ratio, age, education, physical activity, and television viewing as covariates
*p < 0.05, **p < 0.01