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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