Barden AE, Huang RC, Beilin LJ, et al. - Approximately 20% of young adults at high cardiovascular disease (CVD) risk were identified via cluster analysis using multiple risk factors. Employing the proposed Framingham 30yr-risk cut-offs enables detection of more young individuals with multiple risk factors for CVD than conventional metabolic syndrome criteria.

• A large sub-group of adolescents with multiple risk factors for CVD was identified by cluster analysis, in cohort studies.

• Raine Study data at 17- (n=1,048) and 20-years (n=1,120) defined high- and low-risk groups via cluster analysis, and CVD risk at 20-years was assessed using the Framingham 30yr-risk-score in the high- and low-risk clusters.

• Using cluster analysis at 17- and 20-years, a high-risk group was found consisting of, 17.9% and 21.3%, respectively of the cohort.

• The criteria for metabolic syndrome were fulfilled by only 1.2% and 3.4%, respectively, all of whom were within the high-risk cluster.

• Relative to the low-risk cluster, Framingham scores of the high-risk cluster were increased in males (9.4% vs 6.0%) and females (4.9% vs 3.2%).

• Framingham scores >8 (males) and >4 (females) identified those at high-risk.