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Table 3 Relationships between student monthly expenses and obesity by urban–rural home location and area income

From: Contextual influences affecting patterns of overweight and obesity among university students: a 50 universities population-based study in China

Monthly expenses

Overweight and obesity prevalence (%)

Adjusted OR (95% CI)a

Overweight and obesity prevalence (%)

Adjusted OR (95% CI)a

Overweight and obesity prevalence (%)

Adjusted OR (95% CI)a

Overweight and obesity prevalence (%)

Adjusted OR (95% CI)a

Home location of student

University city population

Home region GDP per capita

University city GDP per capita

Rural/township

< 1 million

Low

Low

<1000

1.0

1.00

1.5

1.00

4.3

1.00

5.5

1.00

1000–1499

4.3

1.40 (0.64, 3.10)

5.9

1.73 (1.06, 2.83)*

9.2

1.34 (0.88, 2.06)

11.1

1.13 (0.69, 1.86)

1500–1999

4.3

1.42 (0.65, 3.18)

7.9

2.03 (1.49, 2.77)**

7.0

1.96 (1.34, 2.88)**

14.6

1.54 (1.03, 2.29)*

2000 and over

8.5

2.46 (1.22, 4.68)*

8.4

2.33 (1.17, 4.68)**

10.0

1.88 (1.15, 3.07)*

14.4

2.26 (1.45, 3.53)**

 

Small city

1.0–3.9 million

Medium

Medium

<1000

0.0

N/A

5.6

1.00

11.9

1.00

8.7

1.00

1000–1499

10.3

N/A

9.6

1.04 (0.71, 1.51)

8.4

0.93 (0.70, 1.24)

8.9

0.90 (0.59, 1.38)

1500–1999

11.8

N/A

10.5

1.27 (0.89, 1.78)

9.5

1.07 (0.77, 1.47)

6.0

1.05 (0.73, 2.00)

2000 and over

1.3

N/A

13.4

1.59 (1.08, 2.35)*

20.2

1.27 (0.87, 1.87)

17.7

1.35 (0.92, 2.00)

 

Large city

4 million and over

High

High

<1000

23.6

1.00

13.4

1.00

4.2

1.00

5.5

1.00

1000–1499

19.3

0.61 (0.20, 1.87)

8.1

0.61 (0.41, 0.92)*

7.6

2.67 (1.50, 4.77)**

6.3

0.62 (0.40, 1.02)

1500–1999

3.4

0.60 (0.25, 1.48)

5.9

0.75 (0.56, 1.04)

10.4

3.01 (1.83, 4.94)**

10.4

0.98 (0.62, 1.56)

2000 and over

28.6

1.51 (0.54, 4.18)

21.2

1.15 (0.76, 1.47)

18.5

1.93 (1.14, 3.28)*

10.5

1.08 (0.59, 1.81)

  1. Adjusted odds ratios in italics are statistically significant at the * p < 0.05; ** p < 0.01
  2. N/A = sample sizes too small
  3. aControlling for gender