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Table 3 Association of Non-HDL-C with CIMT by linear regression analysis

From: Relationship between non–high-density lipoprotein cholesterol and carotid atherosclerosis in normotensive and euglycemic Chinese middle-aged and elderly adults

 

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

  1. Dependent variable: CIMT; Independent variable: Non-HDL-C
  2. β: regression coefficient. β was calculated for a 1-unit increase in Non-HDL-C
  3. 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
  4. 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