Table 4.

Multivariable logistic regression for the association between the CMI and arteriosclerosis

Variables	Model 1		Model 2		Model 3
	OR (95%CI)	P	OR (95%CI)	P	OR (95%CI)	P
CMI (continuous)	1.97 (1.76, 2.20)	<0.001	1.85 (1.65,2.08)	<0.001	1.87 (1.66, 2.10)	<0.001
CMI (categorical)
C1	Reference		Reference		Reference
C2	4.64 (3.73, 5.77)	<0.001	4.59 (3.61, 5.83)	<0.001	4.55 (3.57, 5.81)	<0.001
C3	5.63(4.51, 7.03)	<0.001	5.45 (4.26, 6.98)	<0.001	5.56 (4.32, 7.17)	<0.001

Odds ratios (OR) and 95%CI were evaluated using a logistic regression model. C1: the lowest tertile of CMI, C2: the 2nd tertile of CMI, C3: the highest tertile of CMI

Model 1: Adjusted for gender

Model 2: Model 1+ adjusted for diastolic blood pressure, systolic blood pressure, BMI, hip circumference.

Model 3: Model 2+ adjusted for glucose at 0 min, insulin at 120 min, and TC