Trends in body mass index according to educational attainment for urban australian adults between 1980 and 2007

Trends in body mass index according to educational attainment for urban australian adults between 1980 and 2007


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ABSTRACT BACKGROUND: We have previously demonstrated that between the years 1980 and 2000, the mean body mass index (BMI) of the urban Australian population increased, with greater increases


observed with increasing BMI. The current study aimed to quantify trends over time in BMI according to level of education between 1980 and 2007. METHODS: We compared data from the 1980,


1983 and 1989 National Heart Foundation Risk Factor Prevalence Studies, 1995 National Nutrition Survey, 2000 Australian Diabetes, Obesity and Lifestyle Study and the 2007 National Health


Survey. For survey comparability, analyses were restricted to urban Australian residents aged 25–64 years. BMI was calculated from measured height and weight. The education variable was


dichotomised at completion of secondary school. Four age-standardised BMI indicators were compared over time by sex and education: mean BMI, mean BMI of the top 5% of the BMI distribution,


prevalence of obesity (BMI⩾30 kg m−2), prevalence of class II+ obesity (BMI⩾35 kg m−2). RESULTS: Between 1980 and 2007, the mean BMI among men increased by 2.5 and 1.7 kg m−2 for those with


low and high education levels, respectively, corresponding to increases in obesity prevalence of 20 (from 12–32%) and 11 (10–21%) %-points. Among women, mean BMI increased by 2.9 and 2.4 kg


m−2 for those with low and high education levels, respectively, corresponding to increases in obesity prevalence of 16 (12–28%) and 12 (7–19%) %-points. The prevalence of class II+ obesity


among men increased by 9 (1–10%) and 4 (1–5%) %-points for those with low and high education levels, and among women increased by 8 (4–12%) and 4 (2–6%) %-points. Absolute and relative


differences between education groups generally increased over time. CONCLUSIONS: Educational differences in BMI have persisted among urban Australian adults since 1980 without improvement.


Obesity prevention policies will need to be effective in those with greatest socio-economic disadvantage if we are to equitably and effectively address the population burden of obesity and


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ACROSS THE LIFE COURSE AND BIRTH COHORTS, 1996–2015 MALAYSIA: SEX AND ETHNICITY MATTER Article Open access 13 October 2023 REFERENCES * Walls HL, Wolfe R, Haby MM, Magliano DJ, de Courten


M, Reid CM _et al_. Trends in BMI of urban Australian adults, 1980-2000. _Public Health Nutr_ 2009; 13: 631–638. Article  Google Scholar  * Australian Bureau of Statistics. Overweight and


obesity. _Profiles of Health: Australia, 2011-13_ 2013; 4338.0. * Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C _et al_. Global, regional, and national prevalence of overweight


and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. _Lancet_ 2014; 384: 766–781. Article  Google Scholar  * Krieger N,


Fee E . Measuring social inequalities in health in the United States: a historical review, 1900-1950. _Int J Health Serv_ 1996; 26: 391–418. Article  CAS  Google Scholar  * Najman JM, Toloo


G, Siskind V . Socioeconomic disadvantage and changes in health risk behaviours in Australia: 1989-90 to 2001. _Bull World Health Organ_ 2006; 84: 976–984. Article  Google Scholar  * Roskam


AJ, Kunst AE, Van Oyen H, Demarest S, Klumbiene J, Regidor E _et al_. Comparative appraisal of educational inequalities in overweight and obesity among adults in 19 European countries. _Int


J Epidemiol_ 2010; 39: 392–404. Article  Google Scholar  * Cohen AK, Rai M, Rehkopf DH, Abrams B . Educational attainment and obesity: a systematic review. _Obes Rev_ 2013; 14: 989–1005.


Article  CAS  Google Scholar  * Backholer K, Mannan HR, Magliano DJ, Walls HL, Stevenson C, Beauchamp A _et al_. Projected socioeconomic disparities in the prevalence of obesity among


Australian adults. _Aust N Z J Public Health_ 2012; 36: 557–563. Article  Google Scholar  * Ball K, Crawford D . Socioeconomic status and weight change in adults: a review. _Soc Sci Med_


2005; 60: 1987–2010. Article  Google Scholar  * World Health Organization. Obesity and overweight. _Fact Sheet No. 311_ 2011. World Health Organisation. * Aronne LJ, Brown WV, Isoldi KK .


Cardiovascular disease in obesity: A review of related risk factors and risk-reduction strategies. _J Clin Lipidol_ 2007; 1: 575–582. Article  Google Scholar  * Abdullah A, Peeters A, de


Courten M, Stoelwinder J . The magnitude of association between overweight and obesity and the risk of diabetes: a meta-analysis of prospective cohort studies. _Diabetes Res Clin Pract_


2010; 89: 309–319. Article  Google Scholar  * Abdullah A, Stoelwinder J, Shortreed S, Wolfe R, Stevenson C, Walls H _et al_. The duration of obesity and the risk of type 2 diabetes. _Public


Health Nutr_ 2011; 14: 119–126. Article  Google Scholar  * Peeters A, Bonneux L, Nusselder WJ, De Laet C, Barendregt JJ . Adult obesity and the burden of disability throughout life. _Obes


Res_ 2004; 12: 1145–1151. Article  Google Scholar  * Bennett S . Cardiovascular risk factors in Australia: trends in socioeconomic inequalities. _J Epidemiol Community Health_ 1995; 49:


363–372. Article  CAS  Google Scholar  * Charafeddine R, Van Oyen H, Demarest S . Trends in social inequalities in obesity: Belgium, 1997 to 2004. _Prev Med_ 2009; 48: 54–58. Article  Google


Scholar  * Devaux M, Sassi F . Social inequalities in obesity and overweight in 11 OECD countries. _Eur J Public Health_ 2013; 23: 464–469. Article  Google Scholar  * Grossschadl F,


Stronegger WJ . Long-term trends in obesity among Austrian adults and its relation with the social gradient: 1973-2007. _Eur J Public Health_ 2013; 23: 306–312. Article  Google Scholar  *


Ljungvall A, Zimmerman FJ . Bigger bodies: long-term trends and disparities in obesity and body-mass index among U.S. adults, 1960-2008. _Soc Sci Med_ 2012; 75: 109–119. Article  Google


Scholar  * Monteiro CA, DAB MH, Conde WL, Popkin BM . Shifting obesity trends in Brazil. _Eur J Clin Nutr_ 2000; 54: 342–346. Article  CAS  Google Scholar  * Robertson A, Lobstein T, Knai C


. Obesity and socio-economic groups in Europe: Evidence review and implications for action. _Report of the European Commission_ 2007. SANCO/2005/C4-NUTRITION-03. * Yu Y . Educational


differences in obesity in the United States: a closer look at the trends. _Obesity (Silver Spring)_ 2012; 20: 904–908. Article  Google Scholar  * Prospective Studies Collaboration, Whitlock


G, Lewington S, Sherliker P, Clarke R, Emberson J _et al_. Body-mass index and cause-specific mortality in 900 000 adults: collaborative analyses of 57 prospective studies. _Lancet_ 2009;


373: 1083–1096. Article  Google Scholar  * Oakes JM, Rossi PH . The measurement of SES in health research: current practice and steps toward a new approach. _Soc Sci Med_ 2003; 56: 769–784.


Article  Google Scholar  * Elo IT, Preston SH . Educational differentials in mortality: United States, 1979-85. _Soc Sci Med_ 1996; 42: 47–57. Article  CAS  Google Scholar  * Risk Factor


Prevalence Study, 1980 [computer file]. _Social Science Data Archives_ 2001. The Australian National University: Canberra. * Risk Factor Prevalence Study, 1983 [computer file]. _Social


Science Data Archives_ 2001. The Australian National University: Canberra. * National Heart Foundation of Australia. Risk Factor Prevalence Study, 1989 [computer file]. _Social Science Data


Archives_ 2001. The Australian National University: Canberra. * Australian Bureau of Statistics _1995 National Nutrition Survey Users' guide_ 1996. Commonwealth of Australia, Australian


Bureau of Statistics, Catalogue No. 4801.0: Canberra. * Dunstan DW, Zimmet PZ, Welborn TA, Cameron AJ, Shaw J, de Courten M _et al_. The Australian Diabetes, Obesity and Lifestyle Study


(AusDiab)—methods and response rates. _Diabetes Res Clin Pract_ 2002; 57: 119–129. Article  Google Scholar  * Australian Bureau of Statistics _National Health Survey: Users Guide, 2007_


2009. Commonwealth of Australia, Australian Bureau of Statistics, Catalogue No. 4363.0.55.001: Canberra. * Australian Bureau of Statistics _Information Paper: National Nutrition Survey,


Confidentialised Unit Record File, 1995_ 1998. ABS: Canberra. * World Health Organization. Obesity: preventing and managing the global epidemic. _Report of a WHO consultation_ 2000. WHO:


Geneva, Switzerland. * Rosales RA, Fitzgerald WJ, Hladky SB . Kernel estimates for one- and two-dimensional ion channel dwell-time densities. _Biophys J_ 2002; 82 (1 Pt 1): 29–35. Article 


CAS  Google Scholar  * Australian Institute of Health and Welfare. Principles on the use of direct age-standardisation in administrative data collections, 2011. AIHW: Canberra. * Australian


Bureau of Statistics. Australian Demographic Statistics. In: 'TABLE 50. Estimated Resident Population By Single Year Of Age, Australia', time series spreadsheet: cat. no. 3101.0


2012. * Harper S, Lynch J, Meersman SC, Breen N, Davis WW, Reichman ME . An overview of methods for monitoring social disparities in cancer with an example using trends in lung cancer


incidence by area-socioeconomic position and race-ethnicity, 1992-2004. _Am J Epidemiol_ 2008; 167: 889–899. Article  Google Scholar  * Kavanagh A, Bentley RJ, Turrell G, Shaw J, Dunstan D,


Subramanian SV . Socioeconomic position, gender, health behaviours and biomarkers of cardiovascular disease and diabetes. _Soc Sci Med_ 2010; 71: 1150–1160. Article  Google Scholar  *


Galobardes B, Shaw M, Lawlor DA, Lynch JW, Davey Smith G . Indicators of socioeconomic position (part 1). _J Epidemiol Community Health_ 2006; 60: 7–12. Article  Google Scholar  * Williams


E, Tapp R, Magliano D, Shaw J, Zimmet P, Oldenburg B . Health behaviours, socioeconomic status and diabetes incidence: the Australian Diabetes Obesity and Lifestyle Study (AusDiab).


_Diabetologia_ 2010; 53: 2538–2545. Article  CAS  Google Scholar  * Australian Bureau of Statistics. Education across Australia. _Australian Social Trends_ 2008. 4102.0.. * Flegal KM, Pamuk


ER . Interpreting trends estimated from national survey data. _Prev Med_ 2007; 45: 115–116. Article  Google Scholar  * Kirkwood BR, Sterne JAC . _Essential Medical Statistics_, 2nd edn.


Blackwell Science: Oxford, UK, 2003. Google Scholar  * Marmot M, Atkinson T, Bell J, Black C, Broadfoot P, Cumberlege J _et al_. Fair society, healthy lives: The Marmot review. Technical


report 2010, 2010. * Marmot M, Goldblatt P . Importance of monitoring health inequalities. _BMJ_ 2013; 347: f6576. Article  Google Scholar  * Andreyeva T, Sturm R, Ringel JS . Moderate and


severe obesity have large differences in health care costs. _Obes Res_ 2004; 12: 1936–1943. Article  Google Scholar  * Beauchamp A, Backholer K, Magliano D, Peeters A . The effect of obesity


prevention interventions according to socioeconomic position: a systematic review. _Obes Rev_ 2014; 15: 541–554. Article  CAS  Google Scholar  * Galobardes B, Shaw M, Lawlor DA, Lynch JW,


Davey Smith G . Indicators of socioeconomic position (part 2). _J Epidemiol Community Health_ 2006; 60: 95–101. Article  Google Scholar  Download references ACKNOWLEDGEMENTS We would like to


acknowledge the insight the RIO advisory committee has provided to this project. We wish to thank the National Heart Foundation’s Risk Factor Prevalence Study Committee and the Australian


Social Science Data Archive for access to the Risk Factor Prevalence Studies, the Australian Bureau of Statistics for access to the National Nutrition Survey and National Health Survey, and


the AusDiab Steering Committee for access to the AusDiab study. This work was supported by an Australian Research Council (ARC) Linkage grant (LP120100418) and in part by the Victorian


Government’s Operational Infrastructure Support (OIS) Program. EG and K Backholer were also supported by the ARC Linkage grant (LP120100418) and an Australian National Preventive Health


Agency grant (188PEE2011), EG was supported by an Australian Postgraduate Award, KB was supported by a Post doctoral Research Fellowship from the National Heart Foundation of Australia (PH


12M6824), AP was supported by a National Health and Medical Research Council Career Development Fellowship (1045456) and the Baker IDI Heart and Diabetes Institute, CS was supported by an


ARC Discovery Project Grant (DP120103277) and K Ball was supported by a NHMRC Principal Research Fellowship, ID 1042442. AUTHOR INFORMATION AUTHORS AND AFFILIATIONS * Baker IDI Heart and


Diabetes Institute, Melbourne, Victoria, Australia E Gearon, K Backholer, D J Magliano, C Keating & A Peeters * School of Public Health and Preventative Medicine, Monash University,


Melbourne, Victoria, Australia E Gearon, K Backholer & A Peeters * School of Health and Social Development, Deakin University, Melbourne, Victoria, Australia C Stevenson & A


Beauchamp * Centre for Physical Activity and Nutrition Research, Deakin University, Melbourne, Victoria, Australia K Ball Authors * E Gearon View author publications You can also search for


this author inPubMed Google Scholar * K Backholer View author publications You can also search for this author inPubMed Google Scholar * C Stevenson View author publications You can also


search for this author inPubMed Google Scholar * D J Magliano View author publications You can also search for this author inPubMed Google Scholar * C Keating View author publications You


can also search for this author inPubMed Google Scholar * K Ball View author publications You can also search for this author inPubMed Google Scholar * A Beauchamp View author publications


You can also search for this author inPubMed Google Scholar * A Peeters View author publications You can also search for this author inPubMed Google Scholar CORRESPONDING AUTHOR


Correspondence to E Gearon. ETHICS DECLARATIONS COMPETING INTERESTS The authors declare no conflict of interest. ADDITIONAL INFORMATION Supplementary Information accompanies this paper on


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Gearon, E., Backholer, K., Stevenson, C. _et al._ Trends in body mass index according to educational attainment for urban Australian adults between 1980 and 2007. _Int J Obes_ 39, 1019–1026


(2015). https://doi.org/10.1038/ijo.2015.27 Download citation * Received: 31 August 2014 * Revised: 19 December 2014 * Accepted: 04 March 2015 * Published: 16 March 2015 * Issue Date: June


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