Multiple regression analyses.

Multiple regression analyses between red blood cells (RBC), hemoglobin (Hb), hematocrit (Ht) (independent variables) and body mass index (BMI) or homeostasis model assessment (HOMA) (dependent variables) in the whole study population (n = 1836). Similar results were observed when waist circumference (WC) was included instead of BMI (not shown). *: p<0.05; **: p<0.01; ***: p<0.001. P value for F test was <0.001 in all models except for Model 1 with BMI dependent variable (P<0.05). Data adjustments: Model 1: age, sex, smoking habits. Model 2a: Model 1 + HOMA. Model 2b: Model 1 + BMI. Model 3: Model 1 + Waist Circumference. Model 4: Model 1 + Triglycerides, total cholesterol, HDL cholesterol, Mean Arterial Pressure, Glucose. Model 5: Model 4 + WC. Model 6: Model 1 + Hypertriglyceridemia, Hypercholesterolemia, Low HDL, Hypertension, Hyperglycemia, High WC.