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