Various health behaviors have been shown to influence productivity. The purpose of this study was to investigate what health behaviors predicted productivity amongst diverse students. Students self-reported demographics, physical activity, sleep, alcohol consumption, and academic productivity. Linear regression models were utilized to identify significant predictors of productivity. Results suggested that various health behaviors significantly (p<0.05) predicted academic productivity differently among demographics. University health behavior interventions should be tailored towards specific demographics populations.