Skip to main content
. 2016 Dec;78(4):377–386. doi: 10.18999/nagjms.78.4.377

Table 3.

Univariate and multivariate logistic regression analysis for prediction of proteinuria

Variables Univariate Multivariate
Logistic Regression Logistic Regression
OR (C95% CI) P value OR (C95% CI) P value
Age ≥65 1.02 (1.01–1.04) 0.001 1.02 (1.01–1.04) 0.002
Smoking 2.18 (1.40–3.41) 0.001 1.88 (1.17–3.02) 0.009
Congestive heart failure 2.11 (1.34–3.34) 0.005 2.23 (1.13–4.42) 0.021
Myocardial infarction 2.28 (1.40–3.71) 0.001 1.45 (0.75–2.79) 0.271
Lack of regular physical exercise 2.35 (1.17–3.04) ‹0.001 1.66 (0.98–2.82) 0.061
Diabetes mellitus 3.68 (1.71–7.91) 0.001 3.41 (1.49–7.81) 0.004
Stroke 1.90 (0.70–5.17) 0.21
Hypercholesterolemia 1.36 (0.95–1.95) 0.09

CI=Confidence Interval