Table 3.

Association of Non-HDL-C with CIMT by linear regression analysis

	Male subjects				Female subjects
	β	Standard β	95% CI	P	β	Standard β	95% CI	P
Unadjusted	0.008	0.050	0.006–0.023	0.263	0.016	0.114	0.007–0.024	<0.001
Model 1	0.004	0.031	0.003–0.021	0.319	0.011	0.075	0.004–0.020	0.010
Model 2	0.002	0.013	0.001–0.117	0.651	0.009	0.062	0.002–0.017	0.034

Dependent variable: CIMT; Independent variable: Non-HDL-C

β: regression coefficient. β was calculated for a 1-unit increase in Non-HDL-C

Model 1 adjusted for age, BMI, WHR, FBG, PPG, SBP, DBP, smoking, logHOMA-IR and logHOMA-B%, Model 2 adjusted for all the other lipid levels in addition to the risk factors adjusted in Model 1

BMI body mass index, WHR waist-hip-ratio, FBG fasting blood glucose, PPG OGTT 2 h blood glucose, SBP systolic blood pressure, DBP diastolic blood pressure, TC total cholesterol, HDL-C high density lipoprotein cholesterol, LDL-C low density lipoprotein cholesterol, Non-HDL-C non high density lipoprotein cholesterol, HOMA-IR homeostasis model assessment index for insulin resistance, HOMA-B homeostasis model assessment index for beta cell function, CIMT carotid intima-media thickness