Table 3.

Multiple linear regression.

Gensini		Standardized Coefficients	95.0% Confidence Interval for B		P value
			Lower Bound	Upper Bound
Model 1 (FBG)	HDL	−0.077	−16.546	−3.420	0.003
	Duration of DM	0.090	0.332	1.181	< 0.001
	creatinine	0.078	0.052	0.243	0.002
	Lp(a)	0.073	0.002	0.010	0.002
	FBG	0.062	0.281	2.965	0.018
	Gender	0.065	1.193	11.312	0.015
	ApoB	0.057	1.982	20.214	0.017
Model 2 (PBG)	PBG	0.163	1.219	2.300	< 0.001
	apoA1	−0.099	−25.965	−7.686	< 0.001
	creatinine	0.068	0.027	0.224	0.013
	Lp(a)	0.077	0.002	0.011	0.003
	ApoB	0.064	2.604	21.743	0.013
	Gender	0.059	0.270	10.968	0.040
Model 3 (HbA1c)	HbA1c	0.107	1.906	6.031	< 0.001
	apoA1	−0.076	−21.333	−4.195	0.004
	creatinine	0.073	0.044	0.234	0.004
	Lp(a)	0.071	0.002	0.010	0.003
	ApoB	0.063	2.936	21.260	0.010
	Gender	0.063	1.001	11.168	0.019
	Duration of DM	0.056	0.005	0.935	0.048
Model 4 (FBG, PBG, HbA1c)	PBG	0.163	1.219	2.302	< 0.001
	ApoA1	−0.099	−25.987	−7.631	< 0.001
	creatinine	0.068	0.027	0.224	0.013
	Lp(a)	0.076	0.002	0.011	0.003
	ApoB	0.064	2.712	21.899	0.012
	Gender	0.059	0.274	10.984	0.039

Multiple linear regression was performed to identify the parameters associated with the CHD. In model 1, only fasting plasma glucose (FPG) was taken into account as glycemic parameter with other variables. In model 2, only postprandial blood glucose (PBG) was taken into account as glycemic parameter with other variables.In model 3, only HbA1c was taken into account as glycemic parameter with other variables. In model 4, FPG, PBG and HbA1c were all taken into account as glycemic parameters with other variables.