Table 2. Model 1µfactors predicting the progression/regression of albuminuria (n=2493).
| Variables | OR | P value | 95% CI | Effect size (SE) |
| Male versus female | 1.22 | 0.14 | 0.94 to 1.58 | 0.20 (0.13) |
| Age (visit 2–visit 1) | 1.20 | <0.01 | 1.06 to 1.36 | 0.18 (0.06) |
| BMI (visit 2–visit 1) | 1.03 | 0.48 | 0.95 to 1.10 | 0.03 (0.04) |
| SBP (visit 2–visit 1) | 1.0 | 0.88 | 0.99 to 1.01 | 0.001 (0.007) |
| HbA1c (visit 2–visit 1) | 1.03 | 0.02 | 1.00 to 1.05 | 0.03 (0.01) |
| Creatinine (visit 2–visit 1) | 0.99 | 0.15 | 0.98 to 1.00 | −0.008 (0.006) |
| HDL (visit 2–visit 1) | 0.53 | 0.05 | 0.28 to 1.01 | −0.64 (0.33) |
| Total cholesterol (visit 2–visit 1) | 1.08 | 0.21 | 0.95 to 1.23 | 0.08 (0.06) |
| Ex-smoker versus non-smoker (visit 2) | 1.22 | 0.50 | 0.69 to 2.15 | 0.20 (0.29) |
| Current smoker versus non-smoker (visit 2) | 0.72 | 0.52 | 0.26 to 1.97 | −0.33 |
BMIbody mass indexHbA1cglycosylated haemoglobinHDLhigh-density lipoproteinSBPsystolic blood pressure