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A Cohort Comparison of Lifespan After Age 100 in Denmark and Sweden: Are Only the Oldest Getting Older?

Author

Listed:
  • Anthony Medford

    (University of Southern Denmark)

  • Kaare Christensen

    (University of Southern Denmark)

  • Axel Skytthe

    (University of Southern Denmark)

  • James W. Vaupel

    (University of Southern Denmark)

Abstract

Although Denmark and Sweden have close cultural and historical ties, lifespans for Danes have generally been lower than those of Swedes. Recent improvements in Danish mortality after a period of stagnation have led to the suspicion that there may be positive trends at the very high ages at death within that population and that these trends could be quite different from those observed in Sweden. Although the mean ages at death for Danish and Swedish centenarians have been relatively constant at about 102 years for the cohorts born 1870–1904, the oldest-old in Denmark have been getting older, but no evidence has suggested any increase in lifespan for Swedes. Using quantile regression, we show that Danish centenarian lifespans in the 90th percentile have been lengthening, with those in 94th percentile (6 % longest-lived individuals) having a trend that is statistically significant at the 5 % level. We demonstrate that the increase observed is not due to the increasing sizes of birth cohorts and thus must be due to improving survival among this select top tier. We postulate that this super-select group in Denmark is best able to take advantage of the factors driving mortality reduction, whereas the majority of centenarians are not.

Suggested Citation

  • Anthony Medford & Kaare Christensen & Axel Skytthe & James W. Vaupel, 2019. "A Cohort Comparison of Lifespan After Age 100 in Denmark and Sweden: Are Only the Oldest Getting Older?," Demography, Springer;Population Association of America (PAA), vol. 56(2), pages 665-677, April.
  • Handle: RePEc:spr:demogr:v:56:y:2019:i:2:d:10.1007_s13524-018-0755-7
    DOI: 10.1007/s13524-018-0755-7
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    References listed on IDEAS

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    1. Roland Rau & Eugeny Soroko & Domantas Jasilionis & James W. Vaupel, 2008. "Continued Reductions in Mortality at Advanced Ages," Population and Development Review, The Population Council, Inc., vol. 34(4), pages 747-768, December.
    2. Xiao Dong & Brandon Milholland & Jan Vijg, 2016. "Evidence for a limit to human lifespan," Nature, Nature, vol. 538(7624), pages 257-259, October.
    3. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    4. repec:cai:popine:popu_p2001_13n1_0156 is not listed on IDEAS
    5. Siu Cheung & Jean-Marie Robine & Edward Tu & Graziella Caselli, 2005. "Three dimensions of the survival curve: horizontalization, verticalization, and longevity extension," Demography, Springer;Population Association of America (PAA), vol. 42(2), pages 243-258, May.
    6. Anthony Medford, 2017. "Best-practice life expectancy: An extreme value approach," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 36(34), pages 989-1014.
    7. Kevin M. White, 2002. "Longevity Advances in High‐Income Countries, 1955–96," Population and Development Review, The Population Council, Inc., vol. 28(1), pages 59-76, March.
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    Cited by:

    1. Ainhoa-Elena Léger & Stefano Mazzuco, 2021. "What Can We Learn from the Functional Clustering of Mortality Data? An Application to the Human Mortality Database," European Journal of Population, Springer;European Association for Population Studies, vol. 37(4), pages 769-798, November.
    2. Marília R. Nepomuceno & Cássio M. Turra, 2020. "The Population of Centenarians in Brazil: Historical Estimates from 1900 to 2000," Population and Development Review, The Population Council, Inc., vol. 46(4), pages 813-833, December.
    3. Vladimir Canudas-Romo & Tianyu Shen & Collin Payne, 2021. "The role of reductions in old-age mortality in old-age population growth," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 44(44), pages 1073-1084.

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