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Table 3 Logistic regression analysis: Adjusted Odds Ratios (AOR) of obesity according to access to food outlets, overall and stratified for urbanicity

From: The association between neighborhood economic hardship, the retail food environment, fast food intake, and obesity: findings from the Survey of the Health of Wisconsin

   Overalla) Urbanb) Ruralb)
(n = 1570) (n = 757) (n = 620)
Accessibility   AOR 95% CI AOR 95% CI AOR 95% CI
Fast food restaurants high 1   1   1  
medium 1.04 (0.73, 1.49) 1.09 (0.61, 1.94) 0.66 (0.38, 1.13)
low 0.90 (0.55, 1.48) 0.87 (0.54, 1.41) 0.87 (0.87, 1.40)
Convenience stores high 1   1   1  
medium 1.23 (0.83, 1.85) 3.24** (1.73, 6.08) 0.76 (0.42, 1.41)
low 0.99 (0.60, 1.63) 2.11* (1.15, 3.89) 1.40 (0.85, 2.33)
Supermarkets high 1   1   1  
medium 0.94 (0.66, 1.34) 0.97 (0.57, 1.63) 0.62 (0.35, 1.13)
low 1.06 (0.65, 1.72) 1.29 (0.79, 2.11) 0.98 (0.56, 1.72)
WRFEI favorable 1   1   1  
medium 1.04 (0.70, 1.54) 1.28 (0.78, 2.11) 0.68 (0.38, 1.20)
unfavorable 1.13 (0.75, 1.70) 1.46 (0.81, 2.65) 0.73 (0.42, 1.30)
  1. OR odds ratio, CI confidence interval, WRFEI Wisconsin Retail Food Environment Index;
  2. high access: tertile of participants with smallest mean-distance to 3 closest retailers;
  3. medium access: tertile of participants with medium mean-distance to 3 closest retailers;
  4. low access: tertile of participants with greatest mean-distance to 3 closest retailers;
  5. a)each model is adjusted for gender, age, race/ethnicity, education, income, physical activity and urbanicity;
  6. b)each model is adjusted for gender, age, race/ethnicity, education, income, and physical activity.
  7. *p < 0.05 **p < 0.01.