Cardiovascular disease (CVD) is associated with obesity, metabolic syndrome, and other comorbidities. Excess adiposity may increase CVD risk--and these factors may deteriorate with aging. Non-invasive measures of CVD, through carotid-femoral pulse wave velocity (cfPWV), cardiac augmentation index (cAIX), and mean arterial pressure (MAP), have been shown to be important markers of vascular health of cardiac risk. PURPOSE: To examine the impact of body composition on vascular markers of cardiac risk in collegiate students. METHODS: A total of 80 healthy, young adults (mean age 20.5 years, male=35, female N=45) completed an evaluation of body composition (total adiposity (BF), visceral adipose tissue (VAT), and muscle mass) and vascular measures (cfPWV, cAIX, and MAP). RESULTS: Multivariate linear regression evaluated predictors of cardiac risk for the total sample and by gender. For cfPWV, the model for females was significant, F(3,41) = 4.97, p < 0.010, R2 = 0.27. BF (t = 3.24, p < 0.01) and VAT (t = -2.08, p < 0.05) were significant predictors. The model for males was not significant. For MAP, the model for female subjects was significant, F(3,41) = 8.01, p < 0.001, R2 = 0.27. BF (t = 2.52, p < .01) and muscle (t = -1.37, p < .01) were significant predictors. The model for males was not significant. For cAIX, the model for female subjects was not significant, however further analysis indicated that BF (t = 2.03, p < .05) was a significant predictor. The model for males was not significant. CONCLUSION: Anthropometric measures and physical fitness measures may illicit differences in predicting vascular values based on gender differences in young adults.