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The Impact of Diabetes on the Labour Force Participation and Income Poverty of Workers Aged 45–64 Years in Australia

Author

Listed:
  • Deborah J Schofield
  • Michelle Cunich
  • Rupendra N Shrestha
  • Emily J Callander
  • Megan E Passey
  • Simon J Kelly
  • Robert Tanton
  • Lennert Veerman

Abstract

Objective: To quantify the poverty status and level of disadvantage experienced by Australians aged 45–64 years who have left the labour force due to diabetes in 2010. Research Design and Methods: A purpose-built microsimulation model, Health&WealthMOD2030, was used to estimate the poverty status and level of disadvantage of those aged 45–64 years who prematurely retire from the workforce due to diabetes. A multiple regression model was used to identify significant differences in rates of income poverty and the degree of disadvantage between those out of the labour force due to diabetes and those employed full- or part-time with no diabetes. Results: 63.9% of people aged 45–64 years who were out of the labour force due to diabetes were in poverty in 2010. The odds of being in poverty for those with no diabetes and employed full-time (OR of being in poverty 0.02 95%CI: 0.01–0.04) or part-time (OR of being in poverty 0.10 95%CI: 0.05–0.23) are significantly lower than those for persons not in the labour force due to diabetes. Amongst those with diabetes, those who were able to stay in either full- or part-time employment were as much as 97% less likely to be in poverty than those who had to retire early because of the condition. Sensitivity analysis was used to assess impacts of different poverty line thresholds and key socioeconomic predictors of poverty. Conclusions: This study has shown that having diabetes and not being in the labour force because of this condition significantly increases the chances of living in poverty. Intervening to prevent or delay the onset of diabetes is likely to improve their living standards.

Suggested Citation

  • Deborah J Schofield & Michelle Cunich & Rupendra N Shrestha & Emily J Callander & Megan E Passey & Simon J Kelly & Robert Tanton & Lennert Veerman, 2014. "The Impact of Diabetes on the Labour Force Participation and Income Poverty of Workers Aged 45–64 Years in Australia," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-7, February.
    • Handle: RePEc:plo:pone00:0089360
    DOI: 10.1371/journal.pone.0089360
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    References listed on IDEAS

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    1. Elena Bastida & José A. Pagán, 2002. "The impact of diabetes on adult employment and earnings of Mexican Americans: Findings from a community based study," Health Economics, John Wiley & Sons, Ltd., vol. 11(5), pages 403-413, July.
    2. Deborah Schofield & Michelle Cunich & Simon Kelly & Megan E Passey & Rupendra Shrestha & Emily Callander & Robert Tanton & Lennert Veerman, 2015. "The Impact of Diabetes on the Labour Force Participation, Savings and Retirement Income of Workers Aged 45-64 Years in Australia," PLOS ONE, Public Library of Science, vol. 10(2), pages 1-10, February.
    3. Aldi Hagenaars & Klaas de Vos, 1988. "The Definition and Measurement of Poverty," Journal of Human Resources, University of Wisconsin Press, vol. 23(2), pages 211-221.
    4. de Vos, Klaas & Zaidi, M Asghar, 1997. "Equivalence Scale Sensitivity of Poverty Statistics for the Member States of the European Community," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 43(3), pages 319-333, September.
    5. Valdmanis, V. & Smith, D.W. & Page, M.R., 2001. "Productivity and economic burden associated with diabetes," American Journal of Public Health, American Public Health Association, vol. 91(1), pages 129-130.
    6. Peter Saunders & Bruce Bradbury, 2006. "Monitoring Trends in Poverty and Income Distribution: Data, Methodology and Measurement," The Economic Record, The Economic Society of Australia, vol. 82(258), pages 341-364, September.
    7. Klaas de Vos & M. Asghar Zaidi, 1997. "Equivalence Scale Sensitivity Of Poverty Statistics For The Member States Of The European Community," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 43(3), pages 319-333, September.
    8. Deborah Schofield & Rupendra Shrestha & Emily Callander & Richard Pervical & Simon Kelly & Megan Passey & Susan Fletcher, 2011. "Modelling the cost of ill health in Health&WealthMOD (Version II): lost labour force participation, income and taxation, and the impact of disease prevention," International Journal of Microsimulation, International Microsimulation Association, vol. 4(3), pages 32-36.
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