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Current and Future Prevalence of Obesity and Severe Obesity in the United States

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  • Ruhm Christopher J

    (University of North Carolina, Greensboro)

Abstract

This study examines past patterns and projects future prevalence rates of obesity and severe obesity among US adults. Trends in body mass index (BMI), overweight (BMI?25), obesity (BMI?30), class 2 obesity (BMI?35), class 3 obesity (BMI?40) and class 4 obesity (BMI?45) of 20-74 year olds are obtained using data from the first National Health Examination Survey and the National Health and Nutrition Examination Surveys. Quantile regression methods are then used to forecast future prevalence rates through 2020. By that year, 77.6% of men are predicted to be overweight and 40.2% obese, with class 2, 3 and 4 obesity prevalence rates projected at 16.4%, 6.3% and 3.1%. The corresponding forecasts for women are 71.1%, 43.3%, 25.3%, 12.8% and 5.6%. The large growth predicted for severe obesity represents a major public health challenge, given the accompanying high medical expenditures and elevated risk of mortality and morbidity. Combating severe obesity is likely to require strategies targeting the particularly large weight gains of the heaviest individuals.

Suggested Citation

  • Ruhm Christopher J, 2007. "Current and Future Prevalence of Obesity and Severe Obesity in the United States," Forum for Health Economics & Policy, De Gruyter, vol. 10(2), pages 1-28, September.
    • Handle: RePEc:bpj:fhecpo:v:10:y:2007:i:2:n:6
    DOI: 10.2202/1558-9544.1086
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    1. Henderson, R. Max, 2005. "The bigger the healthier: Are the limits of BMI risk changing over time?," Economics & Human Biology, Elsevier, vol. 3(3), pages 339-366, December.
    2. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    3. Burkhauser, Richard V. & Cawley, John, 2008. "Beyond BMI: The value of more accurate measures of fatness and obesity in social science research," Journal of Health Economics, Elsevier, vol. 27(2), pages 519-529, March.
    4. Manning, Willard G. & Blumberg, Linda & Moulton, Lawrence H., 1995. "The demand for alcohol: The differential response to price," Journal of Health Economics, Elsevier, vol. 14(2), pages 123-148, June.
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    More about this item

    Keywords

    adiposity; obesity; body mass index; trends; future prevalence;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

    Statistics

    Access and download statistics

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