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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.