Skip to main content

Table 3 Degree of correlation between parameters of atherosclerosis and various underlying anthropometric/biochemical parameters

From: Normal-weight obesity is associated with increased risk of subclinical atherosclerosis

  Univariate regression analysis Multiple regression analysis
  PWV, mean Log(number of segments with plaque + 1) Log{(number of segments with plaque) + 1}
  ß(SE) P-value ß(SE) P-value ß(SE) P-value
Age 14.040 (0.489) <0.001 0.011 (0.001) <0.001 0.010 (0.001) <0.001
Systolic BP 7.968 (0.292) <0.001 0.003 (0.000) <0.001 0.001 (0.000) <0.001
Diastolic BP 10.014 (0.480) <0.001 0.004 (0.001) <0.001   
Visceral fat 72.374 (10.031) <0.001 0.079 (0.011) <0.001 0.027 (0.011) 0.016
Subcutaneous fat 1.835 (2.146) 0.393 −0.005 (0.002) 0.021   
Fasting glucose 3.509 (0.297) <0.001 0.003 (0.000) <0.001 0.001 (0.000) <0.001
Total cholesterol −0.046 (0.153) 0.764 0.000 (0.000) 0.238   
Triglyceride 0.534 (0.081) <0.001 0.000 (0.000) <0.001 0.000 (0.000) 0.016
HDL-cholesterol −2.528 (0.417) <0.001 −0.004 (0.000) <0.001   
LDL-cholesterol 0.022 (0.173) 0.900 0.000 (0.000) 0.526   
CRP 15.994 (2.715) <0.001 0.007 (0.003) 0.013 0.001 (0.003) 0.795
  1. PWV pulse-wave velocity, BMI body mass index, BP blood pressure, HDL-cholesterol high-density lipoprotein cholesterol, LDL-cholesterol low-density lipoprotein cholesterol, CRP C-reactive protein. Univariate and multivariate correlation analysis was performed between the PWV or the number of coronary segments with plaque and the various baseline risk factors enlisted above
  2. β, regression coefficient; SE, standard error