Table 4.
Univariate and multivariate analysis for predicting higher CV risk factors.
Category | Univariate |
Multivariate |
|||||
---|---|---|---|---|---|---|---|
OR | 95% CI | p value | OR | 95% CI | p value | ||
Gender | Female | Ref | |||||
Male | 3.715 | 1.596–8.647 | 0.002 | 3.142 | 1.027–9.613 | 0.045 | |
DBP | <90 | Ref | |||||
≥90 | 15.589 | 7.205–33.727 | <0.001 | 20.054 | 6.836–58.830 | <0.001 | |
TC | <200 | Ref | |||||
≥200 | 9.723 | 4.652–20.324 | <0.001 | 4.315 | 1.389–13.323 | <0.001 |
p value < 0.05 significant, p value < 0.001 highly significant. Variables were entered into the multivariate logistic regression model with forward stepwise method.
DBP, diastolic blood pressure; TC, total cholesterol; CI, confidence interval; OR, odds ratio.