Table 4.

Linear and logistic regression analyses were used for prediction of CIMT and presence of carotid plaque

Linear regression analysis		Dependent variable: Carotid intima-media thickness
Independent variables	*P	Beta (Standardized)	Beta±SE (Unstandardized coefficients)	†P	Beta (Standardized)	Beta±SE (Unstandardized coefficients)
Age, years	<0.001	0.476	0.010±0.001	<0.001	0.406	0.008±0.001
Gender, male	<0.001	0.429	0.155±0.027	<0.001	0.244	0.085±0.016
Family history of CAD	0.136	0.096	0.035±0.023
HDL-C, mg/dL	0.323	0.070	0.001±0.001
LDL, mg/dL	0.009	0.161	0.001±0.000
LDL/HDL ratio	0.294	0.068	0.012±0.011
TK/HDL ratio	0.691	0.026	0.003±0.008
EAT, mm	<0.001	0.323	0.028±0.005	<0.001	0.450	0.031±0.003
Constant	0.125		-0.132±0.086	0.737		0.191±0.045
Adjusted R2	0.571			0.534
Logistic regression analysis		Dependent variable: Presence of carotid plaque
Independent variables	*P	Wald	OR (95% CI)	†P	Wald	OR (95% CI)
Age, years	0.075	3.2	1.073 (0.993–1.159)
Gender, male	0.066	3.4	6.147 (0.890–42.5)
Family history of CAD	0.141	2.2	2.791 (0.711–10.9)
HDL-C, mg/dL	0.491	0.5	1.024 (0.958–1.094)
LDL, mg/dL	0.002	9.1	1.034 (1.012–1.057)	0.020	5.4	1.013 (1.002–1.023)
LDL/HDL ratio	0.068	3.3	1.699 (0.963–2.988)
TK/HDL ratio	0.111	2.5	1.396 (0.926–2.104)
EAT, mm	0.002	9.7	1.634 (1.199–2.226)	<0.001	20.4	1.386 (1.203–1.597)
Constant	<0.001	18.5		<0.001	31
Adjusted R2	0.455			0.203

CAD - coronary artery disease; EAT - epicardial adipose tissue thickness; HDL - high density lipoprotein; LDL - low density lipoprotein; SE - standard error. Linear and logistic regression analyses with enter method were used for all relevant independent variables that were included if they were significantly different in the univariate analyses*. In addition, the analysis was repeated after a pre-elimination with stepwise method for the independent variables^†