Table 5. Logistic regression model for the cross-sectional population.
Independent variables of increased cIMTa | Bb | S.E. | P | Exp(B) | 95.0% C.I.for EXP(B) |
Age | 0.059 | 0.021 | 0.004 | 1.060 | 1.019∼1.104 |
Men | −0.660 | 0.270 | 0.015 | 0.517 | 0.305∼0.878 |
BCAA First quartile | 0.005 | ||||
Second quartile | 1.057 | 0.355 | 0.003 | 2.879 | 1.436∼5.771 |
Third quartile | 0.887 | 0.346 | 0.010 | 2.427 | 1.233∼4.777 |
Fourth quartile | 0.985 | 0.376 | 0.009 | 2.679 | 1.281∼5.603 |
Hypertension | 0.868 | 0.261 | 0.001 | 2.383 | 1.429∼3.972 |
Set of independent variables: age, sex, BMI, smoking, diabetes mellitus, hypertension, hypertriglyceridemia, hypercholesterolemia, hyper-LDL cholesterolemia, hypo-HDL cholesterolemia, diabetes therapy, hypertension therapy, cholesterol-lowering therapy, BCAA quartile and AAA quartile and family history of CAD.
B, coefficient; SE, standard error of B; exp(B), estimated odds ratio.