Table 2. Parameters of the multiple logistic regression model.
| Variables | βc | SE | Wald | P | OR | 95% CI |
|---|---|---|---|---|---|---|
| Model 1 | ||||||
| HbA1c | 0.65 | 0.07 | 91.32 | 0.001 | 1.87 | (1.64–2.13) |
| Age | −0.01 | 0.01 | 1.44 | 0.231 | 0.99 | (0.98–1.01) |
| Gender | 0.05 | 0.27 | 0.03 | 0.866 | 1.05 | (0.61–1.79) |
| CRP | 0.04 | 0.01 | 16.83 | 0.001 | 1.04 | (1.02, 1.05) |
| Model 2 | ||||||
| HbA1c | 0.63 | 0.07 | 85.03 | 0.001 | 1.88 | (1.64, 2.15) |
| Age | −0.01 | 0.01 | 0.97 | 0.325 | 0.99 | (0.97, 1.01) |
| Gender | 0.11 | 0.31 | 0.14 | 0.708 | 1.12 | (0.62, 2.04) |
| CRP | 0.04 | 0.01 | 15.02 | 0.001 | 1.04 | (1.02, 1.06) |
Adjusted variables in model 1: HbA1c, age, gender and CRP. Adjusted variables in model 2: HbA1c, age, gender, BMI, smoking, drinking, CRP and diabetes duration. βc: Regression coefficient. OR: odds ratio.