FRI034 Visceral Adiposity Index Is Associated With Cardiovascular Diseases, Independent Of Body Mass Index: Analysis From NHANES Study

Disclosure: H. Ayesh: None. A.B. Bradley: None. Introduction: Cardiovascular diseases (CVD) are associated with significant mortality and morbidity. Early identification of at-risk individuals plays an essential role in the treatment and management of CVD. There are multiple reports in the literature that Visceral Adiposity Index (VAI), has been associated with CVD. In this study, we will investigate the association of VAI with CVD, independent of body mass index (BMI), age, and diabetes status. Methods: A sample of 6587 individuals were selected from the NHANES study population (2011-2020). The sample included all individuals in the NHANES population (2011-2020) who are above 18 years and have waist circumference (WC), serum high-density lipoprotein (HDL) level, and serum triglyceride level (TG) available to calculate VAI. CVD status was assigned based on the question “Ever told you had coronary heart disease” from the NHANES survey. VAI for men was calculated using the formula “(WC/(39,68+(1.88*BMI) *(TG/1.03) *(1.31/HDL)”. VAI for women was calculated using the formula “(WC/(36,58+(BMI *1.89) *(TG/0.81) *(1.52/ HDL)” .VAI values were divided into 4 quartiles as follows: 1st(<1.81), 2nd (< 3.03), 3rd(< 5.09), 4th(> 5.09). Logistic regression analysis was performed to study the association between VAI and CVD. Statistical analysis was adjusted for age, BMI, and diabetes status. Results: Statistical analysis showed a statistically significant association between CVD and VAI independent of age, BMI and diabetes status. The odds of CVD were higher in the VAI 4th quartile group compared to the 1st quartile group with an odds ratio of 1.44 (95% CI 1.05-1.98), P value 0.02. Discussion/Conclusion: These results indicate that VAI can serve as a screening tool to identify individuals at risk for cardiovascular diseases. Waist circumference measurements, serum triglyceride levels, and high-density lipoproteins serum levels values are often easily accessible in clinical practice. Implementation of auto-calculation of VAI in electronic health records will provide robust screening and monitoring tools to identify individuals at risk for CVD, especially those with normal BMI. Future high-quality prospective studies will be helpful to further understand the association. Presentation: Friday, June 16, 2023