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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