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Age, period and birth cohort effects on prevalence of overweight and obesity in Australian adults from 1990 to 2000

Abstract

Objective:

To assess the individual contributions of age, period and birth cohort to prevalence of overweight and obesity in the Australian population during 1990 to 2000.

Design:

Age-period-cohort Poisson regression modelling of data from National Health Surveys conducted in Australia in 1990, 1995 and 2000.

Subjects:

Adults aged 20 years and over. Weightings were applied to account for differences in sampling and participation rates so that the sample is representative of the entire Australian adult population.

Methods:

Twelve age groups, based on 5-year intervals from 20 to 24 years to greater than 75 years, three survey periods and 14 cohorts, also based on 5-year intervals from pre-1915 up to 1976–1980, were used in the analysis. The data were age-standardized to the 2000 population and body mass index (BMI) was calculated. Log-linear models, for the prevalence rates of overall overweight (BMI 25) and of obesity (BMI 30) were fitted to the data.

Results:

Age (P<0.001), period (P<0.001) and cohort (P=0.002) all showed significant independent effects on prevalence of overall overweight in the Australian population such that prevalence rises with increasing age, recency of period and cohorts born since 1960. Age (P<0.001) and period (P<0.001) demonstrated strong effects on prevalence of obesity but birth cohort (P=0.07) was not significant. The effects were similar for men and women except that the overall effect of birth cohort on overall overweight was significant in women (P<0.05) but not men (P=0.09).

Conclusion:

The prevalence of overweight and obesity in Australian adults continued to rise during the 1990s. The obesogenic environment seems to have worsened and more recently born cohorts may be at increased risk of overweight.

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References

  • Australian Bureau of Statistics (1990). National Health Survey: Users' Guide, Australia 1989–90. Canberra: ABS.

  • Australian Bureau of Statistics (1991). National Health Survey 89–90. Canberra: ABS.

  • Australian Bureau of Statistics (1996). National Health Survey Users' Guide, Australia 1995. Canberra: ABS.

  • Australian Bureau of Statistics (1997). National Health Survey 1995. Canberra: ABS.

  • Australian Bureau of Statistics (1998). How Australians Measure Up. Canberra: ABS.

  • Australian Bureau of Statistics (2002). National Health Survey 2001. Canberra: ABS.

  • Australian Bureau of Statistics (2003). National Health Survey: Users' Guide, Australia 2001. Canberra: ABS.

  • Australian Institute of Health and Welfare. Bennett SA, Magnus P, Gibson D (2003). A Growing Problem: Trends and Patterns in Overweight and Obesity among Adults in Australia. 1980 to 2001. Canberra: AIHW.

    Google Scholar 

  • Australian Institute of Health and Welfare. Bennett SA, Magnus P, Gibson D (2004). Obesity Trends in Older Australians. Canberra: AIHW.

    Google Scholar 

  • Ball K, Crawford D, Ireland P, Hodge A (2003). Patterns and demographic predictors of 5-year weight change in a multi-ethnic cohort of men and women in Australia. Public Health Nutr 6, 269–280.

    Article  Google Scholar 

  • Bennett SA, Magnus P (1994). Trends in cardiovascular risk factors in Australia: results from the National Heart Foundation's Risk Factor Prevalence study, 1980–1989. Med J Aust 161, 519–527.

    Article  CAS  Google Scholar 

  • Constancia M, Kelsey G, Reik W (2004). Resourceful imprinting. Nature 432, 53–57.

    Article  CAS  Google Scholar 

  • Cook T, Rutishauser I, Seelig M (2001). Comparable Data on Food and Nutrient Intake and Physical Measurements from the 1983, 1985 and 1995 National Nutrition Surveys. Commonwealth Department of Health and Aged Care: Canberra.

    Google Scholar 

  • Dal Grande E, Gill T, Taylor AW, Chittleborough C, Carter P (2005). Obesity in South Australian adults – prevalence, projections and generational assessment over 13 years. Aust N Z J Public Health 29, 343–348.

    Article  Google Scholar 

  • Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL (1998). Overweight and obesity in the United States:prevalence and trends, 1960–1994. Int J Obes 22, 39–47.

    Article  CAS  Google Scholar 

  • Flegal KM, Williamson DF, Pamuk ER, Rosenberg HM (2004). Estimating deaths attributable to obesity in the United States. Am J Public Health 94, 1486–1489.

    Article  Google Scholar 

  • Flood V, Webb K, Lazarus R, Pang G (2000). Use of self-report to monitor overweight and obesity in populations: some issues for consideration. Aust N Z J Public Health 24, 96–99.

    Article  CAS  Google Scholar 

  • Holford TR (1983). The estimation of age, period and cohort effects for vital rates. Biometrics 39, 311–324.

    Article  CAS  Google Scholar 

  • Holford TR (1991). Understanding the effects of age, period and cohort on incidence and mortality rates. Annu Rev Pub Health 12, 425–457.

    Article  CAS  Google Scholar 

  • Jacobsen BK, Njolstad I, Thune I, Wilsgaard T, Lachen M, Schirmer H (2001). Increase in weight in all birth cohorts in a general population. The Tromso Study, 1974–1994. Arch Int Med 161, 466–472.

    Article  CAS  Google Scholar 

  • James WPT (2002). Will feeding mothers prevent the Asian metabolic syndrome epidemic? Asian Pac J Clin Nutr 11 (Suppl), S516–S523.

    Article  Google Scholar 

  • Juhaeri, Stevens J, Jones DW, Arnett D (2003). Associations of aging and birth cohort with body mass index in a biethnic cohort. Obes Res 11, 426–433.

    Article  CAS  Google Scholar 

  • Kupper L, Janis J, Karmous A, Greenberg B. (1985). Statistical age-period-cohort analysis: a review and critique. J Chron Dis 38, 811–830.

    Article  CAS  Google Scholar 

  • Lahti-Koski M, Jousilahti P, Pietinen P (2001). Secular trends in body mass index by birth cohort in eastern Finland from 1972 to 1997. Int J Obes 25, 727–734.

    Article  CAS  Google Scholar 

  • Leveille SG, Wee CC, Lezzoni L.I. (2005). Trends in obesity and arthritis among baby boomers and their predecessors 1972–2002. Am J Public Health 95, 1607–1613.

    Article  Google Scholar 

  • Olshansky SJ, Passaro DJ, Hershow RC, Layden J, Carnes BA, Brody J et al. (2005). A potential decline in life expectancy in the United States in the 21st century. New Engl J Med 352, 1138–1145.

    Article  CAS  Google Scholar 

  • Prentice AM, Jebb SA (1995). Obesity in Britain: gluttony or sloth. Br Med J 311, 437–439.

    Article  CAS  Google Scholar 

  • Ravussin E (1995). Obesity in Britian: rising trend may be due to ‘pathoenvironment’. Br Med J 311, 1569.

    Article  CAS  Google Scholar 

  • Taylor R, Comino E, Bauman A (1997). Asthma mortality in Australia 1920–94, age, period and cohort effects. J Epidemiol Commun Health 51, 408–411.

    Article  CAS  Google Scholar 

  • Visscher TLS, Kromhout D, Seidell JC (2002). Long-term and recent time trends in the prevalence of obesity among Dutch men and women. Int J Obes 26, 1218–1224.

    Article  CAS  Google Scholar 

  • World Health Organization (2000). Obesity: Preventing and Managing the Global Epidemic Report of a WHO consultation World Health Organization: Geneva.

  • Wolf AM, Colditz GA (1998). Current estimates of the economic costs of obesity in the United States. Obes Res 6, 97–106.

    Article  CAS  Google Scholar 

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Acknowledgements

We thank the Australian Bureau of Statistics for providing the CURFS of the National Health Surveys. This work is supported by funding from NSW Health to the Centre for Overweight and Obesity.

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Correspondence to M A Allman-Farinelli.

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Allman-Farinelli, M., Chey, T., Bauman, A. et al. Age, period and birth cohort effects on prevalence of overweight and obesity in Australian adults from 1990 to 2000. Eur J Clin Nutr 62, 898–907 (2008). https://doi.org/10.1038/sj.ejcn.1602769

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