Table 5A. Multiple logistic regression analysis for max-IMT.

	≦ 73 years-old (n = 346)				> 73 years-old (n = 311)
variables	OR	95%CI		p	OR	95%CI		p
Age	1.143	1.077	1.213	<0.0001	1.058	0.981	1.142	0.143
Gender*	0.436	0.238	0.796	0.007	0.408	0.196	0.849	0.016
HDL3-C	0.989	0.924	1.059	0.749	0.968	0.891	1.052	0.444
HDL2-C	0.996	0.977	1.016	0.702	1.012	0.990	1.035	0.277
LDL-C	1.005	0.997	1.014	0.233	1.002	0.993	1.012	0.628
LogTG	1.899	0.502	7.181	0.345	4.157	0.682	25.33	0.122
BMI	0.980	0.904	1.064	0.633	0.964	0.882	1.055	0.428
DBP	1.002	0.976	1.028	0.892	0.993	0.965	1.022	0.638
HbA1c (NGSP)	1.275	0.779	2.086	0.334	1.702	0.941	3.080	0.079
eGFR	1.020	1.003	1.038	0.020	1.014	0.994	1.034	0.185
Alcohol habits	0.672	0.379	1.191	0.173	0.713	0.337	1.051	0.377
Smoking	0.297	0.108	0.815	0.018	0.808	0.084	7.811	0.854
Exercise	0.875	0.541	1.415	0.585	1.155	0.678	1.968	0.596

A dichotomous variable according to max-IMT (i.e., max-IMT ≧1.5 mm vs. <1.5 mm) was examined in the analysis.

OR: odds ratio, 95%CI: 95% confidence interval,

^*1: men, 2: women