BACKGROUND: Central obesity has been recognized as a main risk factor for cardiovascular (CV) events. Three popular central obesity indices are waist circumference, waist-to-hip ratio (WHR), and waist-to-height ratio; abdominal volume index and conicity index are 2 recent novel obesity indices. The main aim of this study is to determine the performance of these indices to best predict 10-year CV events. HYPOTHESIS: Some obesity indices can be used to predict cardiovascular risk. METHODS: In total, 3199 subjects (age range, 40-79 years) were enrolled in this cross-sectional study. The American College of Cardiology/American Heart Association and Framingham risk score tools were used to estimate the 10-year CV events. Receiver operating characteristic curve analysis was used to determine the optimal discriminator(s) among the central obesity measures in the estimation of a 10-year risk of CV events ≥7.5%, ≥10%, and ≥20% separately. RESULTS: Among the 5 central obesity indices, conicity index showed the most discriminatory power in estimation of a 10-year CV risk. In men, based on the American College of Cardiology/American Heart Association tool, the areas under the curve (AUCs) were from 0.671 to 0.682 based on the 3 above thresholds, whereas with the Framingham tool, AUCs were from 0.651 to 0.659. In women, all AUCs were >0.7. Our results also showed WHR to be an almost comparable discriminator of CV disease risk in the Iranian study population. CONCLUSION: Conicity index and WHR had a more discriminatory accuracy for 10-year CV events compared with the other obesity indices.
BACKGROUND: Central obesity has been recognized as a main risk factor for cardiovascular (CV) events. Three popular central obesity indices are waist circumference, waist-to-hip ratio (WHR), and waist-to-height ratio; abdominal volume index and conicity index are 2 recent novel obesity indices. The main aim of this study is to determine the performance of these indices to best predict 10-year CV events. HYPOTHESIS: Some obesity indices can be used to predict cardiovascular risk. METHODS: In total, 3199 subjects (age range, 40-79 years) were enrolled in this cross-sectional study. The American College of Cardiology/American Heart Association and Framingham risk score tools were used to estimate the 10-year CV events. Receiver operating characteristic curve analysis was used to determine the optimal discriminator(s) among the central obesity measures in the estimation of a 10-year risk of CV events ≥7.5%, ≥10%, and ≥20% separately. RESULTS: Among the 5 central obesity indices, conicity index showed the most discriminatory power in estimation of a 10-year CV risk. In men, based on the American College of Cardiology/American Heart Association tool, the areas under the curve (AUCs) were from 0.671 to 0.682 based on the 3 above thresholds, whereas with the Framingham tool, AUCs were from 0.651 to 0.659. In women, all AUCs were >0.7. Our results also showed WHR to be an almost comparable discriminator of CV disease risk in the Iranian study population. CONCLUSION: Conicity index and WHR had a more discriminatory accuracy for 10-year CV events compared with the other obesity indices.
Authors: Lindsey Christoffersen; Todd M Gibson; Ching-Hon Pui; Vijaya Joshi; Robyn E Partin; Daniel M Green; Jennifer Q Lanctot; Carrie R Howell; Daniel A Mulrooney; Gregory T Armstrong; Leslie L Robison; Melissa M Hudson; Kirsten K Ness Journal: Pediatr Blood Cancer Date: 2020-05-08 Impact factor: 3.167
Authors: Antonio J Ponce; Tomás Galván-Salas; Ricardo M Lerma-Alvarado; Xarubet Ruiz-Herrera; Tomás Hernández-Cortés; Rodrigo Valencia-Jiménez; Laura E Cárdenas-Rodríguez; Gonzalo Martínez de la Escalera; Carmen Clapp; Yazmín Macotela Journal: Endocrine Date: 2020-01-09 Impact factor: 3.633
Authors: Saria Hassan; Carol Oladele; Deron Galusha; Oswald Peter Adams; Rohan G Maharaj; Cruz M Nazario; Maxine Nunez; Marcella Nunez-Smith Journal: BMC Public Health Date: 2021-02-25 Impact factor: 4.135
Authors: Mahmoud M A Abulmeaty; Ali M Almajwal; Najwa K Almadani; Mona S Aldosari; Ahmed A Alnajim; Saeed B Ali; Heba M Hassan; Hany A Elkatawy Journal: Saudi Med J Date: 2017-04 Impact factor: 1.484