Table 5.
Linear regression analysis of albuminuria (ln AER) with respect to potential covariates
| Type 2 diabetes | ||||||
| Univariate analysis | Adjusted analysis* | |||||
| Covariates | β | 95% CI | p-value | β | 95% CI | p-value |
| Diabetes duration (yrs) | 0.117 | 0.076, 0.159 | 0.000 | 0.090 | 0.049, 0.131 | 0.000 |
| Age at inclusion (yrs) | 0.003 | -0.019, 0.025 | ns | |||
| Gender-Male | -0.283 | -0.777, 0.211 | ns | |||
| BMI (kg/m2) | -0.043 | -0.095, 0.010 | ns | |||
| HbA1c % | 0.065 | 0.035, 0.164 | ns | |||
| SBP (mmHg) | 0.019 | 0.010, 0–029 | 0.000 | 0.012 | 0.003, 0–021 | 0.010 |
| DBP (mmHg) | 0.023 | 0.006, 0.039 | ns | |||
| S. creatinine (mmol/l) | 0.021 | 0.012, 0.030 | 0.000 | 0.011 | 0.002, 0.020 | 0.016 |
| S. cholesterol (mmol/l) | 0.048 | -0.149, 0.245 | ns | |||
* Results from forward/backwards stepwise selection Predictors in the model, diabetes duration, SBP, age, serum creatinine