Table 4.
Variables significantly related to education status according to multivariate logistic regression analysis
Variable | Low vs high education* |
Medium vs high education† |
||
---|---|---|---|---|
OR (95% CI)‡ | P§ | OR (95% CI)‡ | P§ | |
Age | - | 0.97 (0.94-0.99) | 0.009 | |
Female sex | 2.38 (1.45-3.81) | <0.001 | - | |
Former smoker | 0.42 (0.23-0.75) | 0.003 | - | |
Increased triglycerides (≥150 mg/dL or 1.69 mmol/L) | 1.79 (1.12-2.78) | 0.013 | 1.73 (1.14-2.62) | 0.010 |
Increased high sensitivity C-reactive protein (≥3 mg/L) | 3.53 (2.17-5.88) | <0.001 | 2.17 (1.37-3.41) | 0.001 |
Physical inactivity | 4.24 (1.82-9.86) | 0.001 | - |
*Hosmer and Lemeshow goodness-of-fit test, χ28 = 0.431; P = 0.814. Likelihood ratio χ2 test for overall model fit (G test): χ28 = 74.951; P < 0.001.
†Hosmer and Lemeshow goodness-of-fit test: χ28 = 10.368; P = 0.240. Likelihood ratio χ2 test for overall model fit (G test): χ28 = 25.848; P < 0.001.
‡Odds ratios (OR) and 95% confidence intervals (CI) according to multivariate stepwise logistic regression analysis.
§According to multivariate stepwise logistic regression analysis