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The Epidemiologic Transition Revisited: Compositional Models for Causes of Death by Age and Sex

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  • Joshua A. Salomon
  • Christopher J. L. Murray

Abstract

For decades, researchers have noted systematic shifts in cause‐of‐death patterns as mortality levels change. The notion of the “epidemiologic transition” has influenced thinking about the evolution of health in different societies and the response of the health system to these changes. This article re‐examines the epidemiologic transition in terms of empirical regularities in the cause composition of mortality by age and sex since 1950, and considers whether the theory of epidemiologic transition presents a durable framework for understanding more recent patterns. Age‐sex‐specific mortality rates from three broad cause groups are analyzed: Group 1 (communicable diseases, maternal and perinatal causes, and nutritional deficiencies); Group 2 (noncommunicable diseases); and Group 3 (injuries), using the most extensive international database on mortality by cause, including 1,576 country‐years of observation, and new statistical models for compositional data. The analyses relate changes in cause‐of‐death patterns to changing levels of all‐cause mortality and income per capita. The results confirm that declines in overall mortality are accompanied by systematic changes in the composition of causes in many age groups. These changes are most pronounced among children, for whom Group 1 causes decline as overall mortality falls, and in younger adults, where strikingly different patterns are found for men (shift from Group 3 to Group 2) compared to women (shift toward Group 2 then Group 3). The underlying patterns that emerge from this analysis offer insights into the epidemiologic transition from high‐mortality to low‐mortality settings.

Suggested Citation

  • Joshua A. Salomon & Christopher J. L. Murray, 2002. "The Epidemiologic Transition Revisited: Compositional Models for Causes of Death by Age and Sex," Population and Development Review, The Population Council, Inc., vol. 28(2), pages 205-228, June.
  • Handle: RePEc:bla:popdev:v:28:y:2002:i:2:p:205-228
    DOI: 10.1111/j.1728-4457.2002.00205.x
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    2. Ngianga-Bakwin Kandala & Saverio Stranges, 2014. "Geographic Variation of Overweight and Obesity among Women in Nigeria: A Case for Nutritional Transition in Sub-Saharan Africa," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-11, June.
    3. Shahdad Naghshpour & Sediq Sameem, 2019. "Convergence of Mortality Among African Americans," The American Economist, Sage Publications, vol. 64(2), pages 237-245, October.
    4. Majumder, Amlan, 2014. "Economics of health care utilisation: a study of self-reported morbidity and health seeking patterns in the districts of Cooch Behar and Jalpaiguri, West Bengal, India," EconStor Books, ZBW - Leibniz Information Centre for Economics, number 110899, July.
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    7. David J. Sharrow & James J. Anderson, 2016. "Quantifying Intrinsic and Extrinsic Contributions to Human Longevity: Application of a Two-Process Vitality Model to the Human Mortality Database," Demography, Springer;Population Association of America (PAA), vol. 53(6), pages 2105-2119, December.
    8. Ngianga-Bakwin Kandala & Chibuzor Christopher Nnanatu & Natisha Dukhi & Ronel Sewpaul & Adlai Davids & Sasiragha Priscilla Reddy, 2021. "Mapping the Burden of Hypertension in South Africa: A Comparative Analysis of the National 2012 SANHANES and the 2016 Demographic and Health Survey," IJERPH, MDPI, vol. 18(10), pages 1-18, May.
    9. Glory Chidumwa & Innocent Maposa & Paul Kowal & Lisa K. Micklesfield & Lisa J. Ware, 2021. "Bivariate Joint Spatial Modeling to Identify Shared Risk Patterns of Hypertension and Diabetes in South Africa: Evidence from WHO SAGE South Africa Wave 2," IJERPH, MDPI, vol. 18(1), pages 1-12, January.
    10. Goerlich, Francisco José & Pinilla, Rafael, 2005. "Esperanza de Vida y Potencial de Vida a lo largo del siglo XX en España [Live Expectancy and Potential throughout the twentieth century in Spain]," MPRA Paper 15911, University Library of Munich, Germany, revised 2005.
    11. Vladimir Shkolnikov & Evgeny Andreev & Zhen Zhang & James Oeppen & James Vaupel, 2011. "Losses of Expected Lifetime in the United States and Other Developed Countries: Methods and Empirical Analyses," Demography, Springer;Population Association of America (PAA), vol. 48(1), pages 211-239, February.
    12. Ngianga-Bakwin Kandala & Samuel O.M. Manda & William W. Tigbe & Henry Mwambi & Saverio Stranges, 2014. "Geographic distribution of cardiovascular comorbidities in South Africa: a national cross-sectional analysis," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(6), pages 1203-1216, June.
    13. Monika Burzyńska & Małgorzata Pikala, 2021. "Decreasing Trends in Road Traffic Mortality in Poland: A Twenty-Year Analysis," IJERPH, MDPI, vol. 18(19), pages 1-14, October.
    14. David Smith & Benjamin Bradshaw, 2006. "Variation in life expectancy during the twentieth century in The United States," Demography, Springer;Population Association of America (PAA), vol. 43(4), pages 647-657, November.
    15. Brian Houle & Samuel J Clark & F Xavier Gómez-Olivé & Kathleen Kahn & Stephen M Tollman, 2014. "The Unfolding Counter-Transition in Rural South Africa: Mortality and Cause of Death, 1994–2009," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-10, June.
    16. Isaac Sasson, 2021. "Age and COVID-19 mortality: A comparison of Gompertz doubling time across countries and causes of death," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 44(16), pages 379-396.
    17. Nthai E. Ramoshaba & Mthetho Q. Fihla & Wenzile S. Mthethwa & Lisa Tshangela & Zuqaqambe M. Mampofu, 2022. "Neck Circumference and Blood Pressure Measurements among Walter Sisulu University Students," IJERPH, MDPI, vol. 19(22), pages 1-7, November.
    18. Vladimir M. Shkolnikov & Evgeny M. Andreev & Zhen Zhang & James E. Oeppen & James W. Vaupel, 2009. "Losses of expected lifetime in the US and other developed countries: methods and empirical analyses," MPIDR Working Papers WP-2009-042, Max Planck Institute for Demographic Research, Rostock, Germany.

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