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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.