title: Forecasting distribution of body mass index in the United States: is there more room for growth?
abstract: BACKGROUND
  Much of the literature on obesity has consistently documented the unprecedented rise in body weight over the past 2 decades. Less attention is paid to future projections of the population distribution of body mass index (BMI).
  
  
  OBJECTIVE
  To forecast the distribution of BMI in children (6-17 years) and adults (>17 years) in the United States (US) by age group, sex, and race over the period 2004-2014.
  
  
  METHODS
  Analysis of Medical Expenditure Panel Survey data (2001-2002 and 2004- 2005) to estimate and compare the 1-year transitions across BMI categories for children and adults. Forecasting distributions of obesity over 2004-2014 using a probabilistic population-level simulation model and validating it with prevalence data from 2005-2006 National Health and Nutrition Examination Survey.
  
  
  RESULTS
  During 2004- 2005, a majority of adults in each BMI category remained in the same category after 1 year, these estimates being not significantly different than the corresponding estimates in 2001-2002. Among children, stabilities within BMI categories are low during 2004-2005, and compared with 2001-2002, transition probabilities into overweight class 2 from other BMI categories increase substantially. Forecasts reveal significant increases in the risk of overweight category among children 6 to 9 years old (5% to 14% in 5 years), with a greater increase anticipated in males, and increases in the overweight category for many years to come for adults, although the adult obesity prevalence remains at the current levels.
  
  
  CONCLUSIONS
  Although the absolute levels of obesity remain high among US adults, the growth in obesity appears to have stagnated. On the contrary, continued growth in the prevalence of the highest BMI category for children is anticipated.
authors: Section of Hospital Medicine, Department of Medicine, Center for Health and Social Sciences, University of Chicago, Chicago, Illinois 60637, USA. abasu@medicine.bsd.uchicago.edu
authors: Anirban
authors: A
authors: Basu
mesh_terms: D000328:Adult; D017677:Age Distribution; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D015992:Body Mass Index; D002648:Child; D005260:Female; D005544:Forecasting; D006801:Humans; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D009765:Obesity / Q000453:epidemiology*; D011159:Population Surveillance; D015995:Prevalence; D012307:Risk Factors; D012737:Sex Factors; D014481:United States / Q000453:epidemiology