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Table 2 Anthropometric, biochemical and genetic variables as predictors for body mass index values: multiple linear regression analysis

From: ADIPOQ and IL6 variants are associated with a pro-inflammatory status in obeses with cardiometabolic dysfunction

Independent variables B SE P-value
Anthopometrics    
Waist circumference, cm 0.361 0.017 <0.001
Body fat, % 0.840 0.055 <0.001
Waist-hip ratio 21.317 4.397 <0.001
Biochemical parameters    
Fibrinogen, mg/dL 0.021 0.004 <0.001
PAI-1, pg/mL 0.121 0.038 0.002
hsCRP, mg/L 0.31 0.07 <0.001
IL-6, pg/mL −0.006 0.118 0.962
IL-1β, pg/dL 0.110 0.018 <0.001
TNFα, pg/mL 0.348 0.130 0.008
Adiponectin, μg/mL 0.0023 0.0170 0.890
Leptin, ng/mL 0.120 0.024 <0.001
sLEPR, ng/mL 0.0007 0.0232 0.975
Polymorphisms    
ADIPOQ 45 T > G (ref TT) 0.259 0.773 0.738
IL6 -174G > C (ref GG) 0.099 0.740 0.893
  1. Regression coefficients (B) and standard errors (SE) are expressed in kg/m2. Age, gender, ethnics, hypertension, tobacco smoking, alcohol consumption, physical exercise practice, T2DM and CAD were used as covariates. Polymorphisms were introduced as dummy variables for absence or presence of the rare allele.