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Gender and the burden of disease attributable to obesity

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  • Muennig, P.
  • Lubetkin, E.
  • Jia, H.
  • Franks, P.

Abstract

Objectives. We estimated the burden of disease in the United States attributable to obesity by gender, with life expectancy, quality-adjusted life expectancy, years of life lost annually, and quality-adjusted life years lost annually as outcome measures. Methods. We obtained burden of disease estimates for adults falling into the following body-mass index categories: normal weight (23 to 30). We analyzed the 2000 Medical Expenditure Panel Survey to obtain health-related quality-of-life scores and the 1990-1992 National Health Interview Survey linked to National Death Index data through the end of 1995 for mortality. Results. Overweight men and women lost 270 000 and 1.8 million quality-adjusted life years, respectively, relative to their normal-weight counterparts. Obese men and women lost 1.9 million and 3.4 million quality-adjusted life years, respectively, per year. Much of the burden of disease among overweight and obese women arose from lower health-related quality of life and late life mortality. Conclusions. Relative to men, women suffer a disproportionate burden of disease attributable to overweight and obesity, mostly because of differences in health-related quality of life.

Suggested Citation

  • Muennig, P. & Lubetkin, E. & Jia, H. & Franks, P., 2006. "Gender and the burden of disease attributable to obesity," American Journal of Public Health, American Public Health Association, vol. 96(9), pages 1662-1668.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2005.068874_0
    DOI: 10.2105/AJPH.2005.068874
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    Cited by:

    1. John Cawley & Joshua A. Price, 2011. "Outcomes in a Program that Offers Financial Rewards for Weight Loss," NBER Chapters, in: Economic Aspects of Obesity, pages 91-126, National Bureau of Economic Research, Inc.
    2. Cathleen Zick & Robert Stevens, 2011. "Time Spent Eating and Its Implications for Americans’ Energy Balance," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 101(2), pages 267-273, April.
    3. Bruno Casal & Eva Rodríguez-Míguez & Berta Rivera, 2020. "Measuring intangible cost-of-morbidity due to substance dependence: implications of using alternative preference-based instruments," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(7), pages 1039-1048, September.
    4. David O. Meltzer & Zhuo Chen, 2011. "The Impact of Minimum Wage Rates on Body Weight in the United States," NBER Chapters, in: Economic Aspects of Obesity, pages 17-34, National Bureau of Economic Research, Inc.
    5. Mathieu Nacher & Célia Basurko & Laure Manuella Imounga & Qiannan Wang & Astrid Van Melle & Aude Lucarelli & Antoine Adenis & Kinan Drak Alsibai & Najeh Hcini & Nadia Sabbah, 2023. "Complex Sex Differences in Life Expectancy in French Guiana," IJERPH, MDPI, vol. 20(13), pages 1-14, June.
    6. Christy Brady, 2016. "Decreasing Obesity and Obesity Stigma: Socio-Demographic Differences in Beliefs about Causes of and Responsibility for Obesity," Social Sciences, MDPI, vol. 5(1), pages 1-10, March.
    7. Naiyana Noonil & Joyce Hendricks & Saifon Aekwarangkoon, 2012. "Lived experience of Thai women and their changing bodies in midlife," Nursing & Health Sciences, John Wiley & Sons, vol. 14(3), pages 312-317, September.
    8. Robinovich, Jossiana & Bosma, Hans & Borne, Bart van der & Ossa, Ximena & Muñoz, Sergio & Krumeich, Anja, 2021. "Is a ‘culture of plus-size women’ the independent effect of neighborhood disadvantage on female BMI? A cross-sectional study in two Chilean Municipalities," Social Science & Medicine, Elsevier, vol. 280(C).
    9. Carmine Clemente, 2022. " COVID-19 and obesity. A SHARE analysis of educational and gender differences on diet and physical activity ," Sociology and Social Work Review, International Society for projects in Education and Research, vol. 6(2), pages 102-120, December.
    10. Lauren Needell & Ari Mwachofi, 2017. "Health Differences across the Three Obesity Classes Evidence from the 2012 Behavioral Risk Factor Surveillance System," Current Research in Diabetes & Obesity Journal, Juniper Publishers Inc., vol. 3(2), pages 21-30, July.
    11. William H. Greene & Mark N. Harris & Bruce Hollingworth & Pushkar Maitra, 2008. "A Bivariate Latent Class Correlated Generalized Ordered Probit Model with an Application to Modeling Observed Obesity Levels," Working Papers 08-18, New York University, Leonard N. Stern School of Business, Department of Economics.

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