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Socio-economic Inequalities in Cause-specific Mortality: A 16-year Follow-up Study

  • Quantitative Research
  • Published:
Canadian Journal of Public Health Aims and scope Submit manuscript

Abstract

Objectives

To examine socio-economic inequalities in cause-specific mortality by examining the independent effects of education, occupation and income in a population-based study of working-age Canadian adults.

Methods

This is a secondary analysis of data from the 1991–2006 Canadian Census mortality and cancer follow-up study (n=2.7 million persons). For this analysis, the cohort was restricted to 2.3 million persons aged 25 to 64 at cohort inception, of whom 164,332 died during the follow-up period. Hazard ratios were calculated by educational attainment (4 levels), occupational skill (6 categories) and income adequacy (5 quintiles) for all-cause mortality and major causes of death. Models were run separately for men and women, controlled for multiple variables simultaneously, and some were stratified by 10-year age cohorts.

Results

The magnitude of socio-economic inequalities in mortality differed by indicator of socio-economic position (education, occupation, or income), age group, sex, and cause of death. Compared to age-adjusted models, hazard ratios were attenuated but remained significant in models that adjusted for both age and all three indicators of socio-economic position simultaneously. Socio-economic inequalities in mortality were evident for most of the major causes of death examined.

Conclusion

This study demonstrates that education, occupation and income were each independently associated with mortality and were not simply proxies for each other. When evaluating socio-economic inequalities in mortality, it is important to use different indicators of socio-economic position to provide a more complete picture.

Résumé

Objectifs

Étudier les inégalités socioéconomiques influant sur la mortalité selon la cause en examinant les effets indépendants du niveau de scolarité, de la profession et du revenu dans le cadre d’une étude basée sur la population d’adultes canadiens en âge de travailler.

Méthode

Il s’agit d’une analyse secondaire des données de l’étude canadienne de suivi de la mortalité et du cancer selon le recensement, 1991–2006 (n=2,7 millions de personnes). Pour cette analyse, on a créé une cohorte limitée à 2,3 millions de personnes âgées de 25 à 64 ans, dont 164 332 sont décédées durant la période de suivi. Les rapports des risques ont été calculés pour toutes les causes confondues et les causes principales de décès, selon le niveau de scolarité (4 niveaux), les compétences professionnelles (6 catégories) et la suffisance du revenu (5 quintiles). On a exécuté des modèles séparément pour les hommes et les femmes, en tenant compte de variables multiples simultanément, et certains ont été stratifiés par cohortes d’âge de 10 ans.

Résultats

L’ampleur des inégalités socioéconomiques influant sur la mortalité variait selon l’indicateur de la situation socioéconomique (niveau de scolarité, profession ou revenu), le groupe d’âge, le sexe et la cause de décès. Comparativement aux modèles ajustés en fonction de l’âge, les rapports des risques étaient atténués, mais demeuraient importants dans les modèles ajustés en fonction de l’âge et des trois indicateurs de la situation socioéconomique simultanément. Des inégalités socioéconomiques influant sur la mortalité ont été observées pour la plupart des causes principales de décès examinées.

Conclusion

Cette étude démontre que le niveau de scolarité, la profession et le revenu étaient tous associés de manière indépendante à la mortalité et n’étaient pas simplement des variables de substitution l’une pour l’autre. Dans le cadre de l’étude des inégalités socioéconomiques influant sur la mortalité, il est important d’utiliser différents indicateurs de la situation socioéconomique afin de brosser un tableau plus complet.

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References

  1. Kaufman JS. Social epidemiology. In: Rothman KJ, Greenland S, Lash T (Eds.), Modern Epidemiology, 3rd Edition(). Philadelphia, PA: Lippincott-Raven, 2008.

    Google Scholar 

  2. Chief Public Health Officer’s Report on the State of Public Health in Canada 2008. Catalogue HP2-10/2008E. Ottawa, ON: Minister of Health, 2008.

    Google Scholar 

  3. Commission on Social Determinants of Health. Closing the gap in a generation: Health equity through action on the social determinants of health. Final Report of the Commission on Social Determinants of Health. Geneva, Switzerland: World Health Organization, 2008.

    Google Scholar 

  4. Mackenbach JP, Stirbu I, Roskam AJ, Schaap MM, Menvielle G, Leinsalu M, Kunst AE. Socioeconomic inequalities in health in 22 European countries. N Engl J Med 2008;358(23):2468–81.

    Article  CAS  Google Scholar 

  5. Braveman PA, Cubbin C, Egerter S, Williams DR, Pamuk E. Socioeconomic disparities in health in the United States: What the patterns tell us. Am J Public Health 2010;100(S1):S186–96.

    Article  Google Scholar 

  6. Galobardes B, Lynch J, Smith GD. Measuring socioeconomic position in health research. Br Med Bull 2007;81–82:21–37. Epub 2007 Feb 6.

    Article  Google Scholar 

  7. Deaton A. Commentary: The convoluted story of international studies of inequality and health. Int J Epidemiol 2002;31(3):546–49.

    Article  Google Scholar 

  8. Wilkins R, Tjepkema M, Mustard C, Choinière R. The Canadian census mortality follow-up study, 1991 through 2001. Health Rep 2008;19(3):25–43.

    PubMed  Google Scholar 

  9. Peters PA, Tjepkema M. 1991–2011 Canadian census mortality and cancer follow-up study. Proceedings of Statistics Canada Symposium 2010. Social Statistics: The Interplay among Censuses, Surveys and Administrative Data. Catalogue no. 11-522-XCB. Ottawa: Statistics Canada, 2011;150–56.

    Google Scholar 

  10. Fair M. Generalized Record Linkage System–Statistics Canada’s record linkage software. Aust J Stat 2004;33(1&2):37–53.

    Google Scholar 

  11. World Health Organization. Manual of the International Statistical Classification of Diseases, Injuries and Causes of Death. Ninth Revision. Geneva: World Health Organization, 1977.

    Google Scholar 

  12. World Health Organization. International Statistical Classification of Diseases and Related Health Problems, Tenth Revision. Geneva: World Health Organization, 1992.

    Google Scholar 

  13. Employment and Immigration Canada. National Occupational Classification: Occupational descriptions. Ottawa: Canada Communications Group, 1993.

    Google Scholar 

  14. Statistics Canada. 1991 Census Dictionary. 92-301E. Ottawa: Supply and Services Canada, 1992.

    Google Scholar 

  15. Menvielle G, Leclerc A, Chastang JF, Luce D. Socioeconomic inequalities in cause specific mortality among older people in France. BMC Public Health 2010;10:260.

    Article  Google Scholar 

  16. Lantz PM, Golberstein E, House JS, Morenoff J. Socioeconomic and behavioral risk factors for mortality in a national 19-year prospective study of U.S. adults. Soc Sci Med 2010;70(10):1558–66.

    Article  Google Scholar 

  17. Rogers RG, Everett BG, Zajacova A, Hummer RA. Educational degrees and adult mortality risk in the United States. Biodemography Soc Biol 2010;56(1):80–99.

    Article  Google Scholar 

  18. Galobardes B, Smith GD, Lynch JW. Systematic review of the influence of childhood socioeconomic circumstances on risk for cardiovascular disease in adulthood. Ann Epidemiol 2006;16(2):91–104. Epub 2005 Oct 27.

    Article  Google Scholar 

  19. Adler NE, Newman K. Socioeconomic disparities in health: Pathways and policies. Health Aff 2002;21(2):60–76.

    Article  Google Scholar 

  20. Stringhini S, Dugravot A, Shipley M, Goldberg M, Zins M, Kivimäki M, et al. Health behaviours, socioeconomic status, and mortality: Further analyses of the British Whitehall II and the French GAZEL prospective cohorts. PLoS Med 2011;8(2):e1000419. Epub 2011 Feb 22.

    Article  Google Scholar 

  21. Berkman LF, Glass T. Social integration, social networks, social support, and health. In: Berkman LF, Kawachi I (Eds.), Social Epidemiology. New York, NY: Oxford University Press, 2000.

    Google Scholar 

  22. Mikkonen J, Raphael D. Social Determinants of Health: The Canadian Facts. Toronto, ON: York University School of Health Policy and Management, 2010.

    Google Scholar 

  23. Shields M. Stress and depression in the employed population. Health Rep 2006;17(4):11–29.

    PubMed  Google Scholar 

  24. Smith GD. Smoking and lung cancer: Causality, Cornfield and an early observational meta-analysis. Int J Epidemiol 2009;38(5):1169–71.

    Article  Google Scholar 

  25. Phelan JC, Link BG, Diez-Roux A, Kawachi I, Levin B. “Fundamental causes” of social inequalities in mortality: A test of the theory. J Health Soc Behav 2004;45(3):265–85.

    Article  Google Scholar 

  26. Syme SL. Reducing racial and social-class inequalities in health: The need for a new approach. Health Aff 2008;27(2):456–59.

    Article  Google Scholar 

  27. McGrail KM, van Doorslaer E, Ross NA, Sanmartin C. Income-related health inequalities in Canada and the United States: A decomposition analysis. Am J Public Health 2009;99(1). doi:10.2105/AJPH.2007.129361.

    Google Scholar 

  28. Kim HJ, Ruger JP. Socioeconomic disparities in behavioral risk factors and health outcomes by gender in the Republic of Korea. BMC Public Health 2010;10(1):195.

    Article  Google Scholar 

  29. Lantz PM, House JS, Lepkowski JM, Williams DR, Mero RP, Chen J. Socioeconomic factors, health behaviors, and mortality: Results from a nationally representative prospective study of US adults. JAMA 1998;279(21):1703–8.

    Article  CAS  Google Scholar 

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Correspondence to Michael Tjepkema MPH.

Additional information

Acknowledgements: Funding for this analysis was provided by the Public Health Agency of Canada. Funding for the creation of the Canadian census mortality followup study was provided by the Canadian Population Health Initiative of the Canadian Institute for Health Information (original study), the Healthy Environment and Consumer Safety Branch of Health Canada (study extensions), and the Health Analysis Division of Statistics Canada. Finally, the authors acknowledge the key importance of Canada’s provincial and territorial registrars of vital statistics, who furnish the death data for the Canadian Mortality Database.

Conflict of Interest: None to declare.

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Tjepkema, M., Wilkins, R. & Long, A. Socio-economic Inequalities in Cause-specific Mortality: A 16-year Follow-up Study. Can J Public Health 104, e472–e478 (2013). https://doi.org/10.17269/cjph.104.4075

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  • DOI: https://doi.org/10.17269/cjph.104.4075

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