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Table 5 Linear regression analysis for associations of CCA resistance index with dependent variables

From: Adipokines, inflammation, insulin resistance, and carotid atherosclerosis in patients with rheumatoid arthritis

Variable

Univariate linear regression analysis

Multivariate linear regression analysisa

β

SE (β)

P value

β

SE (β)

P value

Final model (R2)

L:A ratio

66.661

22.157

0.003

49.558

22.613

0.030

0.210

HOMA-IR

0.008

0.003

0.012

0.003

0.003

0.381

 

Age

0.001

0.000

0.001

0.001

0.000

0.000

 

Waist circumference

0.002

0.000

0.000

0.001

0.001

0.064

 

BMI

0.004

0.001

0.003

0.001

0.002

0.643

 
  1. BMI, body mass index; CCA, common carotid artery; HOMA-IR, homeostatic model assessment for insulin resistance; L:A ratio, leptin:adiponectin ratio; SE, standard error. aMultiple linear regression analysis for L:A ratio, conventional cardiovascular risk factors (age, sex, smoking, systolic blood pressure, waist circumference, BMI, glucose, triglycerides, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, HOMA-IR), and nonconventional cardiovascular risk factors (erythrocyte sedimentation rate and C-reactive protein) and L:A ratio.