4.6 Article

Socioeconomic Position and Premature Mortality in the AusDiab Cohort of Australian Adults

Journal

AMERICAN JOURNAL OF PUBLIC HEALTH
Volume 106, Issue 3, Pages 470-477

Publisher

AMER PUBLIC HEALTH ASSOC INC
DOI: 10.2105/AJPH.2015.302984

Keywords

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Funding

  1. Societe Francophone de Diabetologie
  2. Assistance Publique of Paris Hospitals, France
  3. Commonwealth Dept of Health and Aged Care
  4. Abbott Australasia Pty Ltd
  5. Alphapharm Pty Ltd
  6. AstraZeneca
  7. Aventis Pharmaceutical
  8. Bristol-Myers Squibb Pharmaceuticals
  9. Eli Lilly (Aust) Pty Ltd
  10. GlaxoSmithKline
  11. Janssen-Cilag (Aust) Pty Ltd
  12. Merck Lipha s.a.
  13. Merck Sharp Dohme (Aust)
  14. Novartis Pharmaceutical (Aust) Pty Ltd
  15. Novo Nordisk Pharmaceutical Pty Ltd
  16. Pharmacia and Upjohn Pty Ltd
  17. Pfizer Pty Ltd
  18. Roche Diagnostics
  19. Sanofi Synthelabo (Aust) Pty Ltd
  20. Servier Laboratories (Aust) Pty Ltd
  21. BioRad Laboratories Pty Ltd
  22. HITECH Pathology Pty Ltd
  23. Australian Kidney Foundation
  24. Diabetes Australia, Diabetes Australia (Northern Territory)
  25. Queensland Health
  26. South Australian Department of Human Services
  27. Tasmanian Department of Health and Human Services
  28. Territory Health Services
  29. Victorian Department of Human Services
  30. Victorian OIS program
  31. Health Department of Western Australia

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Objectives. To determine the association of socioeconomic position indicators with mortality, without and with adjustment for modifiable risk factors. Methods. We examined the relationships of 2 area-based indices and educational level with mortality among 9338 people (including 8094 younger than 70 years at baseline) of the Australian Diabetes Obesity and Lifestyle (AusDiab) from 1999-2000 until November 30, 2012. Results. Age-and gender-adjusted premature mortality (death before age 70 years) was more likely among those living in the most disadvantaged areas versus least disadvantaged (hazard ratio [HR] = 1.48; 95% confidence interval [CI] = 1.08, 2.01), living in inner regional versus major urban areas (HR = 1.36; 95% CI = 1.07, 1.73), or having the lowest educational level versus the highest (HR = 1.64; 95% CI = 1.17, 2.30). The contribution of modifiable risk factors (smoking status, diet quality, physical activity, stress, cardiovascular risk factors) in the relationship between 1 area-based index or educational level and mortality was more apparent as age of death decreased. Conclusions. The relation of area-based socioeconomic position to premature mortality is partly mediated by behavioral and cardiovascular risk factors. Such results could influence public health policies.

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