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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