The potentially modifiable burden of incident heart failure due to obesity

American Journal of Epidemiology

Volumn 172, Issue 7, 2010, Pages 781-789

  Loehr, Laura R ^a   Rosamond, Wayne D ^a   Poole, Charles ^a   McNeill, Ann Marie ^c   Chang, Patricia P ^b   Deswal, Anita ^d,e   Folsom, Aaron R ^f   Heiss, Gerardo ^a  

^a UNIVERSITY OF NORTH CAROLINA   (United States)

^b UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^c MERCK RESEARCH LABORATORIES   (United States)

^d MICHAEL E DEBAKEY VETERANS AFFAIRS MEDICAL CENTER   (United States)

^e BAYLOR COLLEGE OF MEDICINE   (United States)

^f UNIVERSITY OF MINNESOTA   (United States)

Author keywords

epidemiologic methods; heart failure; obesity; population dynamics

Indexed keywords

AGE CLASS; BODY MASS; BOOTSTRAPPING; CARDIOVASCULAR DISEASE; COHORT ANALYSIS; DISEASE CONTROL; DISEASE INCIDENCE; DISEASE PREVALENCE; EPIDEMIOLOGY; ETHNIC GROUP; HEALTH RISK; POPULATION DYNAMICS; RISK FACTOR; SAMPLING;

ADULT; AGED; ARTICLE; ATHEROSCLEROSIS; BODY MASS; BODY WEIGHT; CARDIOVASCULAR RISK; COHORT ANALYSIS; COMMUNITY ASSESSMENT; FEMALE; FOLLOW UP; GENERALIZED IMPACT FRACTION; HEART FAILURE; HOSPITALIZATION; HUMAN; INCIDENCE; MAJOR CLINICAL STUDY; MALE; OBESITY; POPULATION DYNAMICS; PREVALENCE; RACE; RACE DIFFERENCE; SAMPLE SIZE; STATISTICAL ANALYSIS; COMPARATIVE STUDY; COMPLICATION; MIDDLE AGED; PROCEDURES; PROGNOSIS; RETROSPECTIVE STUDY; RISK ASSESSMENT; RISK FACTOR; SURVIVAL RATE; UNITED STATES;

UNITED STATES;

ATHEROSCLEROSIS; BODY MASS INDEX; FEMALE; HEART FAILURE; HUMANS; INCIDENCE; MALE; MIDDLE AGED; OBESITY; PREVALENCE; PROGNOSIS; RETROSPECTIVE STUDIES; RISK ASSESSMENT; RISK FACTORS; SURVIVAL RATE; UNITED STATES;

EID: 77957325602     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwq213     Document Type: Article

References (32)

1. Rosamond W, Flegal K, Furie K, et al. Heart disease and stroke statistics\2008 update: a report from the American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Circulation. 2008;117(4):e25-e146.
2. Hunt SA, Abraham WT, Chin MH, et al. ACC/AHA 2005 Guideline Update for the Diagnosis and Management of Chronic Heart Failure in the Adult: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Writing Committee to Update the 2001 Guidelines for the Evaluation and Management of Heart Failure): developed in collaboration with the American College of Chest Physicians and the International Society for Heart and Lung Transplantation: endorsed by the Heart Rhythm Society. Circulation. 2005;112(12):e154-e235.
3. Schocken DD, Benjamin EJ, Fonarow GC, et al. Prevention of heart failure: a scientific statement from the American Heart Association Councils on Epidemiology and Prevention, Clinical Cardiology, Cardiovascular Nursing, and High Blood Pressure Research; Quality of Care and Outcomes Research Interdisciplinary Working Group; and Functional Genomics and Translational Biology Interdisciplinary Working Group. Circulation. 2008;117(19):2544-2565.
4. Kenchaiah S, Narula J, Vasan RS. Risk factors for heart failure. Med Clin North Am. 2004;88(5):1145-1172.
5. He J, Ogden LG, Bazzano LA, et al. Risk factors for congestive heart failure in US men and women: NHANES I Epidemiologic Follow-up Study. Arch Intern Med. 2001; 161(7):996-1002.
6. Benichou J. Biostatistics and epidemiology: measuring the risk attributable to an environmental or genetic factor. C R Biol. 2007;330(4):281-298.
7. Flegal KM, Graubard BI, Williamson DF. Methods of calculating deaths attributable to obesity. Am J Epidemiol. 2004; 160(4):331-338.
8. Flegal KM, Graubard BI, Williamson DF, et al. Excess deaths associated with underweight, overweight, and obesity. JAMA. 2005;293(15):1861-1867.
9. Vander Hoorn S, Ezzati M, Rodgers A, et al. Estimating attributable burden of disease from exposure and hazard data. In: Ezzati M, Lopez AD, Rodgers A, et al, eds. Comparative Quantification of Health Risks: Global and Regional Burden of Disease Attributable to Selected Major Risk Factors. Geneva, Switzerland: World Health Organization; 2004:2129-2140.
10. Benichou J. A review of adjusted estimators of attributable risk. Stat Methods Med Res. 2001;10(3):195-216.
11. Morgenstern H, Bursic ES. A method for using epidemiologic data to estimate the potential impact of an intervention on the health status of a target population. J Community Health. 1982;7(4):292-309.
12. Walter SD. Prevention for multifactorial diseases. Am J Epidemiol. 1980;112(3):409-416.
13. Murray CJ, Lopez AD. On the comparable quantification of health risks: lessons from the Global Burden of Disease Study. Epidemiology. 1999;10(5):594-605.
14. Nilunger L, Diderichsen F, Burström B, et al. Using risk analysis in health impact assessment: the impact of different relative risks for men and women in different socio-economic groups. Health Policy. 2004;67(2):215-224.
15. Semenza JC, Rubin CH, Falter KH, et al. Heat-related deaths during the July 1995 heat wave in Chicago. N Engl J Med. 1996;335(2):84-90.
16. Graham P. Bayesian inference for a generalized population attributable fraction: the impact of early vitamin A levels on chronic lung disease in very low birthweight infants. Stat Med. 2000;19(7):937-956.
17. The ARIC Investigators. The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. Am J Epidemiol. 1989;129(4):687-702.
18. Jackson R, Chambless L, Yank K, et al. Differences between respondents and nonrespondents in a multicenter community-based study vary by gender ethnicity. The Atherosclerosis Risk in Communities (ARIC) Study Investigators. J Clin Epidemiol. 1996;49(12):1441-1446.
19. Eriksson H, Caidahl K, Larsson B, et al. Cardiac and pulmonary causes of dyspnoea\validation of a scoring test for clinical-epidemiological use: the Study of Men Born in 1913. Eur Heart J. 1987;8(9):1007-1014.
20. 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.
21. US Department of Health and Human Services. Healthy People 2010: Understanding and Improving Health. Washington, DC: US GPO; 2000.
22. National Institutes of Health. Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults\the Evidence Report. Obes Res. 1998; 6(suppl 2):51S-209S.
23. Greenland S. Interval estimation by simulation as an alternative to and extension of confidence intervals. Int J Epidemiol. 2004;33(6):1389-1397.
24. Levy D, Larson MG, Vasan RS, et al. The progression from hypertension to congestive heart failure. JAMA. 1996;275(20): 1557-1562.
25. Masoudi FA, Inzucchi SE. Diabetes mellitus and heart failure: epidemiology, mechanisms, and pharmacotherapy. Am J Car-diol. 2007;99(4A):113B-132B.
26. Hernán MA, Taubman SL. Does obesity shorten life? The importance of well-defined interventions to answer causal questions. Int J Obes (Lond). 2008;32(suppl 3):S8-S14.
27. Barendregt JJ, Veerman JL. Categorical versus continuous risk factors and the calculation of potential impact fractions. J Epidemiol Community Health. 2010;64(3):209-212.
28. Kenchaiah S, Evans JC, Levy D, et al. Obesity and the risk of heart failure. N Engl J Med. 2002;347(5):305-313.
29. Rockhill B, Newman B, Weinberg C. Use and misuse of population attributable fractions. Am J Public Health. 1998;88(1):15-19.
30. Veerman JL, Barendregt JJ, van Beeck EF, et al. Stemming the obesity epidemic: a tantalizing prospect. Obesity (Silver Spring). 2007;15(9):2365-2370.
31. Greenland S, Robins JM. Conceptual problems in the definition and interpretation of attributable fractions. Am J Epidemiol. 1988;128(6):1185-1197.
32. Robins JM, Greenland S. Estimability and estimation of excess and etiologic fractions. Stat Med. 1989;8(7):845-859.