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Area-Level Socioeconomic Gradients in Overweight and Obesity in a Community-Derived Cohort of Health Service Users – A Cross-Sectional Study

Author

Listed:
  • Andrew Bonney
  • Darren J Mayne
  • Bryan D Jones
  • Lawrence Bott
  • Stephen E J Andersen
  • Peter Caputi
  • Kathryn M Weston
  • Don C Iverson

Abstract

Background: Overweight and obesity lead to higher probability of individuals accessing primary care but adiposity estimates are rarely available at regional levels to inform health service planning. This paper analyses a large, community-derived clinical database of objectively measured body mass index (BMI) to explore relationships with area-level socioeconomic disadvantage for informing regional level planning activities. Materials and Methods: The study included 91776 adults who had BMI objectively measured between 1 July 2009 and 30 June 2011 by a single pathology provider. Demographic data and BMI were extracted and matched to 2006 national census socioeconomic data using geocoding. Adjusted odds-ratios for overweight and obesity were calculated using sex-stratified logistic regression models with socioeconomic disadvantage of census collection district of residence as the independent variable. Results: The prevalence of overweight or obesity was 79.2% (males) and 65.8% (females); increased with age to 74 years; and was higher in rural (74%) versus urban areas (71.4%) (p

Suggested Citation

  • Andrew Bonney & Darren J Mayne & Bryan D Jones & Lawrence Bott & Stephen E J Andersen & Peter Caputi & Kathryn M Weston & Don C Iverson, 2015. "Area-Level Socioeconomic Gradients in Overweight and Obesity in a Community-Derived Cohort of Health Service Users – A Cross-Sectional Study," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-13, August.
    • Handle: RePEc:plo:pone00:0137261
    DOI: 10.1371/journal.pone.0137261
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    References listed on IDEAS

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    1. Temesgen Kifle & Isaac Desta, 2012. "The relationship between body mass index and socioeconomic and demographic indicators: evidence from Australia," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 57(1), pages 135-142, February.
    2. Drewnowski, Adam & D. Rehm, Colin & Solet, David, 2007. "Disparities in obesity rates: Analysis by ZIP code area," Social Science & Medicine, Elsevier, vol. 65(12), pages 2458-2463, December.
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    1. Darren J. Mayne & Geoffrey G. Morgan & Bin B. Jalaludin & Adrian E. Bauman, 2018. "Does Walkability Contribute to Geographic Variation in Psychosocial Distress? A Spatial Analysis of 91,142 Members of the 45 and Up Study in Sydney, Australia," IJERPH, MDPI, vol. 15(2), pages 1-24, February.
    2. Renin Toms & Xiaoqi Feng & Darren J Mayne & Andrew Bonney, 2020. "Role of Area-Level Access to Primary Care on the Geographic Variation of Cardiometabolic Risk Factor Distribution: A Multilevel Analysis of the Adult Residents in the Illawarra—Shoalhaven Region of NS," IJERPH, MDPI, vol. 17(12), pages 1-21, June.

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