Table 4.

Multiple logistic regression analysis for coronary artery disease as a dependent variable

	First tertile	Second tertile	Third tertile	P
Model 0	3.46 (2.01, 5.96)	1.85 (1.08, 3.18)	1	<0.001
Model 1	4.03 (2.24, 7.26)	2.13 (1.21, 3.75)	1	<0.001
Model 2	4.04 (2.24, 7.28)	2.53 (1.36, 4.70)	1	<0.001
Model 3	9.04 (2.81, 29.14)	5.14 (1.83, 14.42)	1	<0.001

Model 0, unadjusted.

Model 1, adjusted for age and gender.

Model 2, adjusted for age, gender and body mass index (BMI).

Model 3, adjusted for age, gender, BMI, systolic blood pressure, diastolic blood pressure, total cholesterol, LDL-cholesterol, HDL-cholesterol, triglyceride, glucose, creatinine and high sensitive C-reactive protein (hsCRP).