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Table 2 Prevalence and possible risk factors of subjects for metabolic syndrome

From: Prevalences of metabolic syndrome and its sex-specific association with socioeconomic status in rural China: a cross-sectional study

Characteristics

Non-MS, (%)

(n = 20,908)

MS, (%)

(n = 5396) a

P valued

Crude OR (95%CI)

Adjusted OR (95%CI) b

Sex

  

< 0.001

  

 Male

84.9

15.1

 

1.00

1.00

 Female

75.8

24.2

 

1.79 (1.68, 1.91)

1.98 (1.79, 2.18)

Age group (years)

  

< 0.001

  

 < 40

93.1

6.9

 

1.00

1.00

 40-

85.6

14.4

 

2.29 (2.00, 2.62)

2.22 (1.91, 2.57)

 50-

77.0

23.0

 

4.05 (3.57, 4.60)

3.80 (3.29, 4.39)

 60-

70.3

29.7

 

5.74 (5.05, 6.52)

5.40 (4.64, 6.28)

 ≥70

68.7

31.3

 

6.19 (5.41, 7.09)

5.86 (4.97, 6.90)

 P-interaction c

    

< 0.001

Monthly household income

  

< 0.001

  

 ≥2000 RMB

83.7

16.3

 

1.00

1.00

 < 2000 RMB

74.1

25.9

 

1.80 (1.70, 1.91)

1.07 (0.99, 1.15)

 P-interaction c

    

< 0.001

Education year

  

< 0.001

  

 ≥9

89.2

10.8

 

1.00

1.00

 < 9

78.2

21.8

 

2.29 (2.03, 2.58)

1.19 (1.04, 1.37)

 P-interaction c

    

< 0.001

Occupation status

  

< 0.001

  

 Manual worker

86.7

13.3

 

1.00

1.00

 Mental worker

84.7

15.3

 

1.18 (1.04, 1.33)

1.64 (1.43, 1.89)

 Unemployed

73.2

26.8

 

2.38 (2.19, 2.58)

1.43 (1.30, 1.58)

 Others

84.0

16.0

 

1.24 (1.11, 1.38)

1.33 (1.18, 1.50)

 P-interaction c

    

< 0.001

Smoking

  

< 0.001

  

 Non-smoker

78.3

21.7

 

1.00

1.00

 Former smoker

85.1

14.9

 

0.63 (0.49, 0.81)

0.91 (0.69, 1.19)

 Current smoker

84.3

15.7

 

0.67 (0.62, 0.73)

1.15 (1.02, 1.29)

 P-interaction c

    

0.205

Alcohol consumption

  

< 0.001

  

 No

78.8

21.2

 

1.00

1.00

 Yes

83.3

16.7

 

0.74 (0.68, 0.81)

1.28 (1.14, 1.45)

 P-interaction c

    

0.533

  1. Notes: a: 532 data loss. b: Adjusted for sex, age group, monthly household income, education year, occupation status, regular physical exercise, smoking, alcohol consumption; c: Interactions between sex and socioeconomic factors, including age group, monthly household income, education year, unemployed. d: Chi-square test