Does the low-density lipoprotein cholesterol play a key role in predicting metabolic syndrome in the Iranian adult population?

BACKGROUND: The low density lipoprotein cholestrol (LDL-C) has an important role in the pathogenesis of cardiovascular disease but its association and predictive accuracy with metabolic syndrome (MetS) remains controversial. The objective of this study was to investigate the association and predictive ability of LDL-C with MetS. METHODS: We analyzed the data from a population-based cross-sectional study conducted on representative samples of an Iranian adult population. The demographic data, anthropometric measures and the lipid profiles were measured with standard methods, and MetS was diagnosed by ATP III criteria. Logistic regression model and ROC analysis were used to estimate the predictive accuracy of LDL-C and its association with MetS. RESULTS: quartile did not reach to a significant level. CONCLUSION: Serum LDL-C level is not significantly associated with MetS but exhibits a weak ability in predicting MetS in women.