{"id":647,"date":"2024-04-16T16:09:36","date_gmt":"2024-04-16T16:09:36","guid":{"rendered":"https:\/\/sites.education.miami.edu\/researchsymposium\/?p=647"},"modified":"2024-04-24T13:45:34","modified_gmt":"2024-04-24T13:45:34","slug":"predictors-of-vascular-markers-of-cardiac-risk-in-collegiate-students-647","status":"publish","type":"post","link":"https:\/\/sites.education.miami.edu\/researchsymposium\/2024\/04\/16\/predictors-of-vascular-markers-of-cardiac-risk-in-collegiate-students-647\/","title":{"rendered":"13. Predictors of Vascular Markers of Cardiac Risk in Collegiate Students"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Cardiovascular disease (CVD) is associated with obesity, metabolic syndrome, and other comorbidities. Excess adiposity may increase CVD risk&#8211;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.\u00a0<strong>PURPOSE:<\/strong>\u00a0To examine the impact of body composition on vascular markers of cardiac risk in collegiate students.\u00a0<strong>METHODS:<\/strong>\u00a0A 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).\u00a0<strong>RESULTS:<\/strong>\u00a0Multivariate 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 &lt; 0.010, R2 = 0.27. BF (t = 3.24, p &lt; 0.01) and VAT (t = -2.08, p &lt; 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 &lt; 0.001, R2 = 0.27. BF (t = 2.52, p &lt; .01) and muscle (t = -1.37, p &lt; .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 &lt; .05) was a significant predictor. The model for males was not significant.\u00a0<strong>CONCLUSION:<\/strong>\u00a0Anthropometric measures and physical fitness measures may illicit differences in predicting vascular values based on gender differences in young adults.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Cardiovascular disease (CVD) is associated with obesity, metabolic syndrome, and other comorbidities. Excess adiposity may increase CVD risk&#8211;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.\u00a0PURPOSE:\u00a0To examine the impact of<span class=\"excerpt-hellip\"> [\u2026]<\/span><\/p>\n","protected":false},"author":21,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[10,9],"tags":[],"class_list":["post-647","post","type-post","status-publish","format-standard","hentry","category-2024-graduate","category-2024-poster"],"_links":{"self":[{"href":"https:\/\/sites.education.miami.edu\/researchsymposium\/wp-json\/wp\/v2\/posts\/647","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.education.miami.edu\/researchsymposium\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sites.education.miami.edu\/researchsymposium\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sites.education.miami.edu\/researchsymposium\/wp-json\/wp\/v2\/users\/21"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.education.miami.edu\/researchsymposium\/wp-json\/wp\/v2\/comments?post=647"}],"version-history":[{"count":3,"href":"https:\/\/sites.education.miami.edu\/researchsymposium\/wp-json\/wp\/v2\/posts\/647\/revisions"}],"predecessor-version":[{"id":703,"href":"https:\/\/sites.education.miami.edu\/researchsymposium\/wp-json\/wp\/v2\/posts\/647\/revisions\/703"}],"wp:attachment":[{"href":"https:\/\/sites.education.miami.edu\/researchsymposium\/wp-json\/wp\/v2\/media?parent=647"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.education.miami.edu\/researchsymposium\/wp-json\/wp\/v2\/categories?post=647"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.education.miami.edu\/researchsymposium\/wp-json\/wp\/v2\/tags?post=647"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}