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Table 1 Demographic characteristics of sample and overweight and obesityprevalence

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

Group

Unweighted N

Unweighted % of sample

Weighted % of sample

Weighted overweight and obesity prevalence

Weighted OR (95% CI)

Age (years)

     

 <20

1831

15.7

12.9

10.1

1.00

 20

2324

19.9

31.5

6.5

0.67 (0.43, 1.07)

 21

2709

23.2

30.8

7.1

0.70 (0.34, 1.41)

 22

2396

20.5

14.5

8.0

0.68 (0.38, 1.21)

 23 and over

2413

20.7

10.3

7.9

0.79 (0.47, 1.32)

Gender

     

 Male

4177

35.8

43.9

9.4

1.00

 Female

7496

64.2

56.1

5.7

0.40 (0.27, 0.60)**

Ethnicity

     

 Han

10,884

93.2

94.6

7.6

1.00

 Minority

789

6.7

5.4

6.9

0.90 (0.36, 2.26)

Father’s occupation

     

 Operation and commercial work

9269

79.4

71.8

9.0

1.00

 Staff and administration

1681

14.4

18.8

10.3

1.66 (0.79, 1.73)

 Teacher, scientific and technical work

723

6.2

9.4

11.8

1.16 (0.46, 2.97)

Mother’s occupation

     

 Operation and commercial work

9397

80.5

72.4

8.9

1.00

 Staff and administration

1500

12.9

16.6

10.1

1.18 (0.79, 1.73)

 Teacher, scientific and technical work

776

6.5

11.0

12.7

1.17 (0.45, 2.97)

Income of each person in family (RMB)

     

 <10,000

1773

36.2

34.0

6.1

1.00

 10–19,999

1241

25.3

20.7

9.5

1.61 (1.19, 2.17)**

 20,000 and over

1888

38.5

45.3

8.1

1.35 (1.14, 1.59)**

Monthly expenditures (RMB)

     

 <1000

1273

10.9

7.6

7.4

1.00

 1000–1499

6048

51.8

49.0

8.8

1.21 (0.67, 2.16)

 1500–1999

3406

29.2

30.2

8.5

1.18 (0.60, 2.30)

 2000 and over

946

8.1

13.5

15.0

2.37 (1.39, 4.06)**

Academic major

     

 Medical

10,270

87.9

81.1

6.5

1.00

 Other

1403

12.1

18.9

7.8

1.21 (0.93, 1.58)

Smoking status

     

 Non-smoker

10,735

92.0

87.3

8.9

1.00

 Occasional smoker

706

6.1

8.9

10.7

1.22 (0.61, 2.43

 Daily smoker

232

2.0

3.8

20.1

2.56 (1.33, 4.92)**

Home region

     

 Northeast

889

7.6

5.1

21.1

1.00

 North

1785

15.2

14.4

15.3

0.67 (0.33, 1.37)

 Eastern

1784

15.3

17.0

11.1

0.47 (0.24, 0.93)*

 Centre

4968

42.6

39.2

7.4

0.30 (0.16, 0.55)**

 Southwest

959

8.2

16.3

7.7

0.31 (0.16, 0.60)**

 Northwest

1288

11.0

8.0

2.4

0.09 (0.03, 0.32)**

Urban–rural home location

     

 Countryside or township

3276

67.0

59.6

4.3

1.00

 County town

741

15.1

17.7

9.1

2.35 (1.10, 5.02)*

 City

876

17.9

22.8

15.5

5.22 (1.70, 16.3)**

GDP of home province

     

 <50,000

5868

50.3

51.3

8.2

1.00

 50,000–99,000

3483

29.8

26.7

9.8

1.21 (0.81, 1.82)

 100,000 and over

2322

19.9

22.0

12.2

1.17 (1.05, 1.41)*

Type of university

     

 High level

4154

35.1

58.3

11.5

1.00

 Middle level

6823

53.3

39.2

6.8

0.56 (0.43, 0.74)**

 Lower level

696

6.0

2.5

5.2

0.42 (0.34, 0.53)**

University city GDP (per capita)

     

 <50,000

3986

34.1

16.0

7.1

1.00

 50,000–99,000

6221

53.3

60.7

8.9

1.28 (0.96, 1.72)

 100,000 and over

1466

12.6

23.3

12.8

1.94 (1.25, 3.00)**

University city population (m)

     

 <1.0

3019

25.8

12.1

6.3

1.00

 1.0–3.9

5866

50.2

57.7

10.1

1.68 (1.11, 2.55)*

 4 and over

2788

23.9

30.2

9.8

1.62 (1.10, 2.40)*

  1. * p < 0.05; ** p < 0.01