Age-specific changes in BMI and BMI distribution among Australian adults using cross-sectional surveys from 1980 to 2008

Hayes, A., Gearon, E., Backholer, K., Bauman, A. and Peeters, A. 2015, Age-specific changes in BMI and BMI distribution among Australian adults using cross-sectional surveys from 1980 to 2008, International journal of obesity, vol. 39, no. 8, pp. 1209-1216, doi: 10.1038/ijo.2015.50.

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Title Age-specific changes in BMI and BMI distribution among Australian adults using cross-sectional surveys from 1980 to 2008
Author(s) Hayes, A.
Gearon, E.
Backholer, K.ORCID iD for Backholer, K. orcid.org/0000-0002-3323-575X
Bauman, A.
Peeters, A.ORCID iD for Peeters, A. orcid.org/0000-0003-4340-9132
Journal name International journal of obesity
Volume number 39
Issue number 8
Start page 1209
End page 1216
Total pages 8
Publisher Nature Publishing Group
Place of publication London, Eng.
Publication date 2015
ISSN 0307-0565
1476-5497
Summary 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 27 349 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.
Language eng
DOI 10.1038/ijo.2015.50
Field of Research 111799 Public Health and Health Services not elsewhere classified
Socio Economic Objective 920502 Health Related to Ageing
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, Nature Publishing Group
Persistent URL http://hdl.handle.net/10536/DRO/DU:30081166

Document type: Journal Article
Collection: School of Health and Social Development
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