Metabolic syndrome and cardiovascular risk assessment tools’ estimations of 10-year cardiovascular risk: a population-based study

AbstractBackground: This cross-sectional study determines the association between 10-year cardiovascular disease (CVD) risk, estimated using four CVD risk assessment tools, and metabolic syndrome (MetS) in northern Iranian general population.Methods: We used the data of 2371 participants aged 40–74 without any history of diabetes mellitus from a cohort study conducted among 6140 subjects aged 10–90 years in northern Iran. Three definitions of MetS were used. The four CVD risk assessment tools used to estimate the 10-year CVD risk included pooled cohort equations of ACC/AHA, Systematic Coronary Risk Evaluation (SCORE) equations (for low-risk and high-risk European countries), and Framingham general cardiovascular risk profile for use in primary care. Logistic regression was used to determine the association between various definitions of MetS and 10-year CVD risk of ≥5%, ≥ 7.5%, and ≥10%, based on the related risk assessment tools.Results: In men, univariate logistic regression analysis showed the stronges...