Table 3. Binary Logistic Regression Analysis.
Variables | B | Wald | P | OR | 95% CI for OR | |
---|---|---|---|---|---|---|
Lower | Upper | |||||
Sex | −1.401 | 7.040 | 0.008* | 0.246 | 0.088 | 0.693 |
Age | 0.041 | 2.299 | 0.129 | 1.042 | 0.988 | 1.100 |
Hypertension | −0.434 | 0.345 | 0.557 | 0.648 | 0.152 | 2.757 |
Diabetes mellitus | −0.545 | 1.067 | 0.302 | 0.580 | 0.206 | 1.631 |
Total cholesterol | −0.753 | 3.620 | 0.057 | 0.471 | 0.217 | 1.023 |
HDL | −0.700 | 3.398 | 0.065 | 0.497 | 0.236 | 1.045 |
LDL | 1.262 | 5.941 | 0.015* | 3.531 | 1.280 | 9.738 |
Triglycerides | 2.795 | 6.471 | 0.011* | 16.364 | 1.899 | 141.002 |
H-hcy | 2.108 | 6.707 | 0.010* | 8.235 | 1.670 | 40.609 |
SWVmean | −0.624 | 8.198 | 0.004* | 0.536 | 0.349 | 0.821 |
Constant | −0.355 | 0.029 | 0.864 | 0.701 |
*p < 0.05. B = coefficient; Wald is equal to the square of B/standard error, CI = confidence interval, H-hcy = hyper-homocysteinemia, OR = odds ratio