title: The coming epidemic of obesity in elderly Americans.
abstract: OBJECTIVE
  To estimate the prevalence of obesity in elderly Americans in 2010 and to discuss the health and economic implications of these estimates.
  
  
  METHODS
  Three methods of generating future point-prevalence estimates using data from consecutive cross-sectional studies.
  
  
  METHODS
  All regions of the United States.
  
  
  METHODS
  Estimates were based on five nationally representative surveys of the adult population of the United States, conducted from 1960 to 2000, and population estimates from the U.S. Census Bureau.
  
  
  METHODS
  Changes in obesity (body mass index (BMI) > or =30 kg/m(2)) and normal weight (BMI <25 kg/m(2)) prevalence for men and women by 10-year U.S. birth cohorts were examined. The prevalence of obesity and normal weight in the elderly in 2010 was estimated under three different scenarios of obesity prevalence change.
  
  
  RESULTS
  It was estimated that the prevalence of obesity in adults aged 60 and older will increase from 32.0% in 2000 to 37.4% in 2010 (range 33.6-39.6%). The number of obese adults aged 60 and older will increase from 14.6 to 20.9 million (range 18.8-22.2 million). Similarly, it was estimated that the prevalence of normal weight among adults aged 60 and older will decrease from 30.6% in 2000 to 26.7% in 2010 (range 31.0-24.7%).
  
  
  CONCLUSIONS
  The prevalence of obesity in elderly Americans will likely continue to increase, challenging healthcare delivery and financing systems in the United States.
authors.affiliation: Section of Outcomes Research, Division of General Internal Medicine, Department of Internal Medicine, University of Cincinnatti, Cincinnatti, OH 45267, USA. David.Arterburn@uc.edu
authors.forename: David E
authors.initials: DE
authors.lastname: Arterburn
authors.forename: Paul K
authors.initials: PK
authors.lastname: Crane
authors.forename: Sean D
authors.initials: SD
authors.lastname: Sullivan
mesh_terms: D000368:Aged; D003430:Cross-Sectional Studies; D005260:Female; D005544:Forecasting; D006801:Humans; D008297:Male; D008875:Middle Aged; D009749:Nutrition Surveys; D009765:Obesity / Q000453:epidemiology*; D015995:Prevalence; D014481:United States / Q000453:epidemiology