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

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

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

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.

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