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Obesity and health expenditures: Evidence from Australia

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  • Buchmueller, Thomas C.
  • Johar, Meliyanni

Abstract

Rising rates of obesity are a public health concern in every industrialized country. This study investigates the relationship between obesity and health care expenditure in Australia, where the rate of obesity has tripled in the last three decades. Now one in four Australians is considered obese, defined as having a body mass index (BMI, kg/m2) of 30 or over. The analysis is based on a random sample survey of over 240,000 adults aged 45 and over that is linked at the individual-level to comprehensive administrative health care claims for the period 2006–2009. This sub-population group has an obesity rate that is nearly 30% and is a major consumer of health services. Relative to the average annual health expenditures of those with normal weight, we find that the health expenditures of those with a BMI between 30 and 35 (obese type I) are 19% higher and expenditures of those with BMI greater than 35 (obese type II/III) are 51% higher. We find large and significant differences in all types of care: inpatient, emergency department, outpatient and prescription drugs. The obesity-related health expenditures are higher for obese type I women than men, but in the obese type II/III state, obesity-related expenditures are higher for men. When we stratify further by age groups, we find that obesity has the largest impact among men over age 75 and women aged 60–74 years old. In addition, we find that obesity impacts health expenditures not only through its link to chronic diseases, but also because it increases the cost of recovery from acute health shocks.

Suggested Citation

  • Buchmueller, Thomas C. & Johar, Meliyanni, 2015. "Obesity and health expenditures: Evidence from Australia," Economics & Human Biology, Elsevier, vol. 17(C), pages 42-58.
  • Handle: RePEc:eee:ehbiol:v:17:y:2015:i:c:p:42-58
    DOI: 10.1016/j.ehb.2015.01.001
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    2. Darren J. Mayne & Geoffrey G. Morgan & Bin B. Jalaludin & Adrian E. Bauman, 2019. "Area-Level Walkability and the Geographic Distribution of High Body Mass in Sydney, Australia: A Spatial Analysis Using the 45 and Up Study," IJERPH, MDPI, vol. 16(4), pages 1-29, February.
    3. Sharyn Lymer & Deborah Schofield & Crystal M Y Lee & Stephen Colagiuri, 2016. "NCDMod: A Microsimulation Model Projecting Chronic Disease and Risk Factors for Australian Adults," International Journal of Microsimulation, International Microsimulation Association, vol. 9(3), pages 103-139.
    4. Hansen, Torben & Thomsen, Thyra Uth, 2018. "The influence of consumers’ interest in healthy eating, definitions of healthy eating, and personal values on perceived dietary quality," Food Policy, Elsevier, vol. 80(C), pages 55-67.

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    More about this item

    Keywords

    Obesity; Healthcare costs; Healthcare utilization; Health expenditures; Medical care;
    All these keywords.

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • I1 - Health, Education, and Welfare - - Health

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