This population-based cross-sectional study conducted on 9555 individuals, ages ≥19 y. Anthropometric measures, blood pressure, and biochemical markers were measured using standard protocols. Hypertension, hyperglycemia, hypercholesterolemia, high low-density lipoprotein cholesterol and low high-density lipoprotein cholesterol levels were considered as the CVD risks.
Mean (SD) of age and BMI of participants were 38.7 y (mean 15.5) and 25.7 kg/m2 (mean 4.6), respectively. ABSI demonstrated the weakest correlations and lowest area under curve (AUC) for various risk factors and MetS. However, the highest odds ratio was observed for ABSI and MetS in different age and sex categories.
Based on the AUC, we concluded that ABSI is a weak predictor for CVD risks and MetS. More studies are needed to determine the best predictor of CVD risk among the Iranian population.