Do Japanese and Italian Women Live Longer than Women in Scandinavia?


Life expectancies at birth are routinely computed from period life tables. When mortality is falling, such period life expectancies will typically underestimate real life expectancies, that is, life expectancies for birth cohorts. Hence, it becomes problematic to compare period life expectancies between countries when they have different historical mortality developments. For instance, life expectancies for countries in which the longevity improved early (like Norway and Sweden) are difficult to compare with those in countries where it improved later (like Italy and Japan). To get a fair comparison between the countries, one should consider cohort data. Since cohort life expectancies can only be computed for cohorts that were born more than a hundred years ago, in this paper we suggest that for younger cohorts one may consider the expected number of years lost up to a given age. Contrary to the results based on period data, our cohort results then indicate that Italian women may expect to lose more years than women in Norway and Sweden, while there are no indications that Japanese women will lose fewer years than women in Scandinavia. The large differences seen for period data may just be an artefact due to the distortion that period life tables imply in times of changing mortality.

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Source: The Human Mortality Database

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  1. Andersen, P. K. (2013). Decomposition of number of life years lost according to causes of death. Statistics in Medicine, 32, 5278–5285.

    Article  Google Scholar 

  2. Arriaga, E. (1984). Measuring and explaining the change in life expectancies. Demography, 21, 83–96.

    Article  Google Scholar 

  3. Barbi, E., Bongaarts, J., & Vaupel, J. W. (2008). How long do we live? Demographic models and reflections on tempo effects. Demographic research monographs 5. Berlin: Springer.

    Google Scholar 

  4. Barker, D. (1994). Mothers, babies and disease in later life. London: British Medical Journal Publishing Group.

    Google Scholar 

  5. Bongaarts, J., & Feeney, G. (2002). How long do we live? Population and Development Review, 28, 13–29.

    Article  Google Scholar 

  6. Christensen, K. (2007). Early life events and later life health: Twin and famine studies. In T. Bengtsson (Ed.), Perspectives on mortality forecasting. V. Cohort factors: How conditions in early life influence mortality in later life (pp. 31–39)., Social Insurance Studies no. 5 Stockholm: Swedish Social Insurance Agency.

    Google Scholar 

  7. Davey Smith, G., & Kuh, D. (2001). William Ogilvy Kermack and the childhood origins of adult health and disease. International Journal of Epidemiology, 30, 696–703.

    Article  Google Scholar 

  8. Dinkel, R. H. (1984). Sterblichkeit in Perioden-und Kohortenbetrachtung. Zeitschrift für Bevölkerungswissenschaft, 10, 477–500.

    Google Scholar 

  9. Doll, R., Peto, R., Boreham, J., & Sutherland, I. (2004). Mortality in relation to smoking: 50 years’ observations on male British doctors. British Medical Journal, 328, 1519–1528.

    Article  Google Scholar 

  10. Doll, R., Peto, R., Wheatly, K., Gray, R., & Sutherland, I. (1994). Mortality in relation to smoking: 40 years’ observations on male British doctors. British Medical Journal, 309, 901–911.

    Article  Google Scholar 

  11. Forsdahl, A. (1977). Are poor living conditions in childhood and adolescence an important risk factor for arteriosclerotic heart disease? British Journal of Preventive and Social Medicine, 31, 91–95.

    Google Scholar 

  12. Frenk, J., Bobadilla, J. L., Stern, C., Frejka, T., & Lozano, R. (1991). Elements for a theory of the health transition. Health Transition Review, 1, 21–38.

    Google Scholar 

  13. Goldman, N. (2015). Mortality differentials: Selection and causation. In J. Wright (Ed.), International encyclopedia of the social and behavioral sciences (2nd ed., Vol. 15, pp. 851–856). Oxford: Elsevier.

    Google Scholar 

  14. Guillot, M. (2006). Tempo effects in mortality: An appraisal. Demographic Research, 14, 1–26.

    Article  Google Scholar 

  15. Guillot, M., & Canudas-Romo, V. (2016). Revisiting life expectancy rankings in countries that have experienced fast mortality decline. In R. Schoen (Ed.), Dynamic demographic analysis (pp. 51–67). Heidelberg: Springer.

    Google Scholar 

  16. Human Mortality Database. University of California, Berkeley (USA), and Max Planck Institute for Demographic Research (Germany). or (data downloaded on 4 January 2018).

  17. Lindahl-Jacobsen, R., Rau, R., Jeune, B., Canudas-Romo, V., Lenart, A., Christensen, K., et al. (2016). Rise, stagnation, and rise of Danish women’s life expectancy. Proceedings of the National Academy of Sciences, 113, 4015–4020.

    Article  Google Scholar 

  18. Luy, M., Wegner, C., & Lutz, W. (2011). Adult mortality in Europe. In R. Rogers & E. Crimmins (Eds.), International handbook of adult mortality (pp. 49–81). Dordrecht: Springer.

    Google Scholar 

  19. Mamelund, S.-E., & Borgan, J.-K. (1996). Kohort-og periodedødelighet i Norge 1846–1994 (“Cohort and period mortality in Norway 1846–1994”). Report nr. 96/9. Oslo: Statistics Norway.

  20. Meslé, F., & Vallin, J. (2011). Historical trends in mortality. In R. Rogers & E. Crimmins (Eds.), International handbook of adult mortality (pp. 9–47). Dordrecht: Springer.

    Google Scholar 

  21. Murphy, M. (2010). Reexamining the dominance of birth cohort effects on mortality. Population and Development Review, 36, 365–390.

    Article  Google Scholar 

  22. Omran, A. R. (1971). The epidemiologic transition: A theory of the epidemiology of population change. The Milbank Memorial Fund Quarterly, 49, 509–538. Reprinted 2005, The Milbank Quarterly, 83, 731–757.

  23. Rowland, D. (2003). Demographic methods and concepts. Oxford: Oxford University Press.

    Google Scholar 

  24. Smith, K., & Hanson, H. (2015). Early life influences on health and mortality in adulthood. In J. Wright (Ed.), International encyclopedia of the social and behavioral sciences (2nd ed., Vol. 6, pp. 752–758). Oxford: Elsevier.

    Google Scholar 

  25. Vallin, J., & Meslé, F. (2004). Convergences and divergences in mortality: A new approach to health transition. Demographic Research (Special Collection S2, Article 2), 11–44.

  26. Vaupel, J. W., Manton, K. G., & Stallard, E. (1979). The impact of heterogeneity in individual frailty on the dynamics of mortality. Demography, 16, 439–454.

    Article  Google Scholar 

  27. Willett, W. C. (1994). Diet and health: What should we eat? Science, 264, 532–537.

    Article  Google Scholar 

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Correspondence to Ørnulf Borgan.

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Borgan, Ø., Keilman, N. Do Japanese and Italian Women Live Longer than Women in Scandinavia?. Eur J Population 35, 87–99 (2019).

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  • Cohort data
  • Expected number of years lost
  • Life expectancy
  • Life tables
  • Period data