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Table 3 Association between convenience stores within the 800 m network buffer near school and students’ obesity in two districts

From: Association between convenience stores near schools and obesity among school-aged children in Beijing, China

 

Continuous variable (ten additional convenience stores)

Categorical variablea (more convenience stores vs less convenience stores)

ORb

95% CI

P value

ORc

95% CI

P value

Model 1

1.06

(0.97, 1.15)

0.178

1.17

(0.89, 1.54)

0.259

Model 2

1.06

(0.97, 1.15)

0.194

1.16

(0.88, 1.54)

0.291

Model 3

1.09

(1.01, 1.18)

0.030

1.34

(1.02, 1.76)

0.035

Model 4

1.10

(1.01, 1.19)

0.029

1.37

(1.04, 1.81)

0.026

Model 5

1.13

(1.03, 1.24)

0.011

1.49

(1.09, 2.03)

0.013

  1. aCategorical variable was divided by 24: the median number of convenience stores
  2. bOR for continuous variable was the odds ratio of ten additional convenience stores
  3. cOR for categorical variable was more than or equal to the median number of 24 versus less than 24 (reference)
  4. Model 1: null model
  5. Model 2: adjusted for districts
  6. Model 3: Model 2 + father’s obesity, mother’s obesity, family type, father’s education, and mother’s education
  7. Model 4: Model 3 + age, gender
  8. Model 5: Model 4 + diet score, meeting the recommendation of MVPA, and meeting the recommendation of screen time