Skip to main content

Table 4 Stepwise multiple regression analysis to identify factors associated with mean-CCA-IMT and max-CCA-IMT

From: Association between circulating leukocyte subtype counts and carotid intima-media thickness in Japanese subjects with type 2 diabetes

 

Unstandardized

Standardized

p

Regression coefficient

Regression coefficient

mean-CCA-IMT

   

Monocyte count

0.3466

0.3260

<0.001

Age

0.0029

0.2675

<0.001

baPWV

0.0001

0.1446

0.004

max-CCA-IMT

   

Monocyte count

0.4659

0.3448

<0.001

Age

0.0051

0.3674

<0.001

UAE

0.0357

0.1687

<0.001

  1. Factors included in the stepwise multiple regression models for mean intima-media thickness of common carotid artery (mean-CCA-IMT) were age, gender, duration of diabetes, body mass index, systolic blood pressure, fasting plasma glucose, brachial ankle pulse wave velocity (baPWV), urinary albumin excretion (UAE), total leukocyte count, monocyte count, neutrophil count, eosinophil count and basophil count. Factors included in the stepwise multiple regression models for maximum CCA-IMT (max-CCA-IMT) were age, gender, duration of diabetes, smoking status, body mass index, systolic blood pressure, baPWV, UAE, total leukocyte count, monocyte count, neutrophil count, leosinophil count and basophil count. Since mean-CCA-IMT, max-CCA-IMT, duration of diabetes, TG, hs-CRP, UAE, monocyte count, eosinophil count and basophil count showed skewed distribution, it was logarithmically transformed before the analysis.
Back to article page

Cardiovascular Diabetology

ISSN: 1475-2840