title: Obesity and severe obesity forecasts through 2030.
abstract: BACKGROUND
  Previous efforts to forecast future trends in obesity applied linear forecasts assuming that the rise in obesity would continue unabated. However, evidence suggests that obesity prevalence may be leveling off.
  
  
  OBJECTIVE
  This study presents estimates of adult obesity and severe obesity prevalence through 2030 based on nonlinear regression models. The forecasted results are then used to simulate the savings that could be achieved through modestly successful obesity prevention efforts.
  
  
  METHODS
  The study was conducted in 2009-2010 and used data from the 1990 through 2008 Behavioral Risk Factor Surveillance System (BRFSS). The analysis sample included nonpregnant adults aged ≥ 18 years. The individual-level BRFSS variables were supplemented with state-level variables from the U.S. Bureau of Labor Statistics, the American Chamber of Commerce Research Association, and the Census of Retail Trade. Future obesity and severe obesity prevalence were estimated through regression modeling by projecting trends in explanatory variables expected to influence obesity prevalence.
  
  
  RESULTS
  Linear time trend forecasts suggest that by 2030, 51% of the population will be obese. The model estimates a much lower obesity prevalence of 42% and severe obesity prevalence of 11%. If obesity were to remain at 2010 levels, the combined savings in medical expenditures over the next 2 decades would be $549.5 billion.
  
  
  CONCLUSIONS
  The study estimates a 33% increase in obesity prevalence and a 130% increase in severe obesity prevalence over the next 2 decades. If these forecasts prove accurate, this will further hinder efforts for healthcare cost containment.
authors.affiliation: Health Services and Systems Research Program, Duke-NUS Graduate Medical School, Singapore.
authors.forename: Eric A
authors.initials: EA
authors.lastname: Finkelstein
authors.forename: Olga A
authors.initials: OA
authors.lastname: Khavjou
authors.forename: Hope
authors.initials: H
authors.lastname: Thompson
authors.forename: Justin G
authors.initials: JG
authors.lastname: Trogdon
authors.forename: Liping
authors.initials: L
authors.lastname: Pan
authors.forename: Bettylou
authors.initials: B
authors.lastname: Sherry
authors.forename: William
authors.initials: W
authors.lastname: Dietz
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D040343:Behavioral Risk Factor Surveillance System; D005260:Female; D005544:Forecasting; D006801:Humans; D008297:Male; D008875:Middle Aged; D009765:Obesity / Q000453:epidemiology*; D009767:Obesity, Morbid / Q000453:epidemiology*; D015995:Prevalence; D014481:United States / Q000453:epidemiology; D055815:Young Adult