title: Age-specific changes in BMI and BMI distribution among Australian adults using cross-sectional surveys from 1980 to 2008.
abstract: BACKGROUND
  Research efforts have focused mainly on trends in obesity among populations, or changes in mean body mass index (BMI), without consideration of changes in BMI across the BMI spectrum. Examination of age-specific changes in BMI distribution may reveal patterns that are relevant to targeting of interventions.
  
  
  METHODS
  Using a synthetic cohort approach (which matches members of cross-sectional surveys by birth year) we estimated population representative annual BMI change across two time periods (1980 to 1989 and 1995 to 2008) by age, sex, socioeconomic position and quantiles of BMI. Our study population was a total of 27349 participants from four nationally representative Australian health surveys; Risk Factor Prevalence Study surveys (1980 and 1989), the 1995 National Nutrition Survey and the 2007/8 National Health Survey.
  
  
  RESULTS
  We found greater mean BMI increases in younger people, in those already overweight and in those with lower education. For men, age-specific mean annual BMI change was very similar in the 1980s and the early 2000s (P=0.39), but there was a recent slowing down of annual BMI gain for older women in the 2000s compared with their same-age counterparts in the 1980s (P<0.05). BMI change was not uniform across the BMI distribution, with different patterns by age and sex in different periods. Young adults had much greater BMI gain at higher BMI quantiles, thus adding to the increased right skew in BMI, whereas BMI gain for older populations was more even across the BMI distribution.
  
  
  CONCLUSIONS
  The synthetic cohort technique provided useful information from serial cross-sectional survey data. The quantification of annual BMI change has contributed to an understanding of the epidemiology of obesity progression and identified key target groups for policy attention-young adults, those who are already overweight and those of lower socioeconomic status.
authors: Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia.
authors: A
authors: A
authors: Hayes
authors: 1] Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia [2] School of Public Health and Preventative Medicine, Monash University, Melbourne, Victoria, Australia.
authors: E
authors: E
authors: Gearon
authors: 1] Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia [2] School of Public Health and Preventative Medicine, Monash University, Melbourne, Victoria, Australia.
authors: K
authors: K
authors: Backholer
authors: Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia.
authors: A
authors: A
authors: Bauman
authors: 1] Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia [2] School of Public Health and Preventative Medicine, Monash University, Melbourne, Victoria, Australia.
authors: A
authors: A
authors: Peeters
mesh_terms: D000328:Adult; D017677:Age Distribution; D001315:Australia / Q000453:epidemiology; D050218:Body Fat Distribution; D015992:Body Mass Index; D003430:Cross-Sectional Studies; D004522:Educational Status; D005260:Female; D049673:History, 20th Century; D049674:History, 21st Century; D006801:Humans; D008297:Male; D008875:Middle Aged; D009765:Obesity / Q000453:epidemiology* / Q000517:prevention & control; D011050:Policy Making; D015995:Prevalence; D012307:Risk Factors; D012959:Socioeconomic Factors; D013997:Time Factors