Table 2.

Multiple linear regression models showing the relationship, expressed as β-coefficients, between CAD score and CEM, after sequential adjustment for potential confounding variables.

	Model 1∗			Model 2+			Model 3++
	β-coefficient	R square	P value	β-coefficient	R square	P value	β-coefficient	R square	P value
CEM	0.284	0.123	<0.001	0.271	0.455	<0.001	0.276	0.459	<0.001

^*Adjusted for Age and Gender.

⁺Adjusted for all variables in Model 1 + hypertension, smoking, hematological indices, hsCRP, cholesterol, triglyceride, LDL-cholesterol, HDL-cholesterol, and medication use.

⁺⁺Adjusted for all variables in Model 2 + BMI and WHR.