Table 3.
Binary logistic regression analysis with user status as the dependent variable (users = 0, non-users = 1)
| Regression coefficient | Standard error | Wald | df | Sign | Odds ratio | 95% CI Lower | 95% CI Upper | |
|---|---|---|---|---|---|---|---|---|
| Sex1 | -0.529 | 0.409 | 1.673 | 1 | 0.196 | 0.589 | 0.264 | 1.313 |
| Age | 0.103 | 0.017 | 37.050 | 1 | < 0.001 | 1.108 | 1.072 | 1.145 |
| Treatment group2 | 19.271 | 4 | 0.001 | |||||
| Dialysis 1–5 yrs | 2.088 | 1.098 | 3.615 | 1 | 0.057 | 8.069 | 0.938 | 69.446 |
| Dialysis > 5 yrs | 2.386 | 1.147 | 4.327 | 1 | 0.038 | 10.875 | 1.148 | 103.045 |
| Dialysis > 10 yrs | 2.159 | 1.170 | 3.403 | 1 | 0.065 | 8.661 | 0.874 | 85.828 |
| Transplantation | -1.882 | 1.470 | 1.640 | 1 | 0.200 | 0.152 | 0.009 | 2.713 |
| Educational level3 | 2.090 | 0.559 | 14.000 | 1 | < 0.001 | 8.088 | 2.706 | 24.177 |
| Konstante | -10.730 | 1.618 | 43.959 | 1 | < 0.001 | 0.000 |
Reference category: 1female, 2CKD group, 3 ≥ 12 years of education