1. Malik VS, Willet WC, Hu FB. Nearly a decade on - trends, risk factors and policy implications in global obesity. Nat Rev Endocrinol. 2020;16(11):615-616.
2. NCD Risk Factor Collaboration (NCD-RisC). Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19·2 million participants. Lancet. 2016;387(10026):1377-1396.
3. Ward ZJ, Bleich SN, Cradock AL, et al. Projected U.S. State-Level Prevalence of Adult Obesity and Severe Obesity. N Engl J Med. 2019;381(25):2440-2450.
4. Roger VL. Epidemiology of heart failure. Circ Res. 2013;113(6):646-659. doi:10.1161/CIRCRESAHA.113.300268
5. Pandey A, Kondamudi N, Patel K V., et al. Association Between Regional Adipose Tissue Distribution and Risk of Heart Failure Among Blacks. Circ Hear Fail. 2018;11(11).
6. Aune D, Sen A, Norat T, et al. Body Mass Index, Abdominal Fatness, and Heart Failure Incidence and Mortality: A Systematic Review and Dose-Response Meta-Analysis of Prospective Studies. Circulation. 2016;133(7):639-649.
7. Kenchaiah S, Evans JC, Levy D, et al. Obesity and the risk of heart failure. N Engl J Med. 2002;347(5):305-313.
8. Magnussen C, Niiranen TJ, Ojeda FM, et al. Sex-Specific Epidemiology of Heart Failure Risk and Mortality in Europe. JACC Hear Fail. 2019;7(3):204-213.
9. Uijl A, Koudstaal S, Direk K, et al. Risk factors for incident heart failure in age‐ and sex‐specific strata: a population‐based cohort using linked electronic health records. Eur J Heart Fail. 2019;21(10):1197-1206.
10. Humphreys S. The unethical use of BMI in contemporary general practice. Br J Gen Pract. 2010;60(578):696-697.
11. Gelber RP, Gaziano JM, Orav EJ, Manson JE, Buring JE, Kurth T. Measures of obesity and cardiovascular risk among men and women. J Am Coll Cardiol. 2008;52(8):605-615.
12. Loehr LR, Rosamond WD, Poole C, et al. Association of multiple anthropometrics of overweight and obesity with incident heart failure: the Atherosclerosis Risk in Communities study. Circ Heart Fail. 2009;2(1):18-24.
13. Krakauer NY, Krakauer JC. A new body shape index predicts mortality hazard independently of body mass index. PLoS One. 2012;7(7):e39504.
14. Thomas DM, Bredlau C, Bosy-Westphal A, et al. Relationships between body roundness with body fat and visceral adipose tissue emerging from a new geometrical model. Obesity (Silver Spring). 2013;21(11):2264-2271.
15. Park Y, Kim NH, Kwon TY, Kim SG. A novel adiposity index as an integrated predictor of cardiometabolic disease morbidity and mortality. Sci Rep. 2018;8(1):16753.
16. Woolcott OO, Bergman RN. Relative fat mass (RFM) as a new estimator of whole-body fat percentage ─ A cross-sectional study in American adult individuals. Sci Rep. 2018;8(1):10980.
17. Brouwers FP, de Boer RA, van der Harst P, et al. Incidence and epidemiology of new onset heart failure with preserved vs. reduced ejection fraction in a community-based cohort: 11-year follow-up of PREVEND. Eur Heart J. 2013;34(19):1424-1431.
18. de Boer RA, Nayor M, DeFilippi CR, et al. Association of Cardiovascular Biomarkers With Incident Heart Failure With Preserved and Reduced Ejection Fraction. JAMA Cardiol. 2018;3(3):215.
19. Suthahar N, Meems LMG, van Veldhuisen DJ, et al. High-Sensitivity Troponin-T and Cardiovascular Outcomes in the Community: Differences Between Women and Men. Mayo Clin Proc. 2020;95(6):1158-1168. doi:10.1016/j.mayocp.2020.01.017
20. Hillege HL, Fidler V, Diercks GFH, et al. Urinary albumin excretion predicts cardiovascular and noncardiovascular mortality in general population. Circulation. 2002;106(14):1777-1782.
21. McMurray JJ V, Adamopoulos S, Anker SD, et al. ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure 2012: The Task Force for the Diagnosis and Treatment of Acute and Chronic Heart Failure 2012 of the European Society of Cardiology. Developed in collaboration with the Heart. Eur Heart J. 2012;33(14):1787-1847.
22. Suthahar N, Lau ES, Blaha MJ, et al. Sex-Specific Associations of Cardiovascular Risk Factors and Biomarkers With Incident Heart Failure. J Am Coll Cardiol. 2020;76(12):1455-1465.
23. Brouwers FP, van Gilst WH, Damman K, et al. Clinical risk stratification optimizes value of biomarkers to predict new-onset heart failure in a community-based cohort. Circ Heart Fail. 2014;7(5):723-731.
24. Fabozzi FJ, Focardi SM, Rachev ST, Arshanapalli BG. Appendix E: Model Selection Criterion: AIC and BIC. In: The Basics of Financial Econometrics. Vol 41. Hoboken, NJ, USA: John Wiley & Sons, Inc.; 2014:399-403. doi:10.1002/9781118856406.app5
25. Khan SS, Ning H, Shah SJ, et al. 10-Year Risk Equations for Incident Heart Failure in the General Population. J Am Coll Cardiol. 2019;73(19):2388-2397.
26. Neath A. p-Values and the Likelihood Principle. Proc Am Stat Assoc. 2016:966-971.
27. Schorr M, Dichtel LE, Gerweck A V., et al. Sex differences in body composition and association with cardiometabolic risk. Biol Sex Differ. 2018;9(1):28.
28. Blaak E. Gender differences in fat metabolism. Curr Opin Clin Nutr Metab Care. 2001;4(6):499-502.
29. Savji N, Meijers WC, Bartz TM, et al. The Association of Obesity and Cardiometabolic Traits With Incident HFpEF and HFrEF. JACC Heart Fail. 2018;6(8):701-709.
30. Cook NR. Use and Misuse of the Receiver Operating Characteristic Curve in Risk Prediction. Circulation. 2007;115(7):928-935.