Table 3.

Degree of correlation between parameters of atherosclerosis and various underlying anthropometric/biochemical parameters

	Univariate regression analysis				Multiple regression analysis
	PWV, mean		Log(number of segments with plaque + 1)		Log{(number of segments with plaque) + 1}
	ß(SE)	P-value	ß(SE)	P-value	ß(SE)	P-value
Age	14.040 (0.489)	<0.001	0.011 (0.001)	<0.001	0.010 (0.001)	<0.001
Systolic BP	7.968 (0.292)	<0.001	0.003 (0.000)	<0.001	0.001 (0.000)	<0.001
Diastolic BP	10.014 (0.480)	<0.001	0.004 (0.001)	<0.001
Visceral fat	72.374 (10.031)	<0.001	0.079 (0.011)	<0.001	0.027 (0.011)	0.016
Subcutaneous fat	1.835 (2.146)	0.393	−0.005 (0.002)	0.021
Fasting glucose	3.509 (0.297)	<0.001	0.003 (0.000)	<0.001	0.001 (0.000)	<0.001
Total cholesterol	−0.046 (0.153)	0.764	0.000 (0.000)	0.238
Triglyceride	0.534 (0.081)	<0.001	0.000 (0.000)	<0.001	0.000 (0.000)	0.016
HDL-cholesterol	−2.528 (0.417)	<0.001	−0.004 (0.000)	<0.001
LDL-cholesterol	0.022 (0.173)	0.900	0.000 (0.000)	0.526
CRP	15.994 (2.715)	<0.001	0.007 (0.003)	0.013	0.001 (0.003)	0.795

PWV pulse-wave velocity, BMI body mass index, BP blood pressure, HDL-cholesterol high-density lipoprotein cholesterol, LDL-cholesterol low-density lipoprotein cholesterol, CRP C-reactive protein. Univariate and multivariate correlation analysis was performed between the PWV or the number of coronary segments with plaque and the various baseline risk factors enlisted above

β, regression coefficient; SE, standard error