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Quantifying the Shape of Aging

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  • Tomasz F Wrycza
  • Trifon I Missov
  • Annette Baudisch

Abstract

In Biodemography, aging is typically measured and compared based on aging rates. We argue that this approach may be misleading, because it confounds the time aspect with the mere change aspect of aging. To disentangle these aspects, here we utilize a time-standardized framework and, instead of aging rates, suggest the shape of aging as a novel and valuable alternative concept for comparative aging research. The concept of shape captures the direction and degree of change in the force of mortality over age, which—on a demographic level—reflects aging. We 1) provide a list of shape properties that are desirable from a theoretical perspective, 2) suggest several demographically meaningful and non-parametric candidate measures to quantify shape, and 3) evaluate performance of these measures based on the list of properties as well as based on an illustrative analysis of a simple dataset. The shape measures suggested here aim to provide a general means to classify aging patterns independent of any particular mortality model and independent of any species-specific time-scale. Thereby they support systematic comparative aging research across different species or between populations of the same species under different conditions and constitute an extension of the toolbox available to comparative research in Biodemography.

Suggested Citation

  • Tomasz F Wrycza & Trifon I Missov & Annette Baudisch, 2015. "Quantifying the Shape of Aging," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-18, March.
  • Handle: RePEc:plo:pone00:0119163
    DOI: 10.1371/journal.pone.0119163
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    Cited by:

    1. Aburto, José Manuel & Basellini, Ugofilippo & Baudisch, Annette & Villavicencio, Francisco, 2022. "Drewnowski’s index to measure lifespan variation: Revisiting the Gini coefficient of the life table," Theoretical Population Biology, Elsevier, vol. 148(C), pages 1-10.
    2. Jos'e Manuel Aburto & Ugofilippo Basellini & Annette Baudisch & Francisco Villavicencio, 2021. "Drewnowski's index to measure lifespan variation: Revisiting the Gini coefficient of the life table," Papers 2111.11256, arXiv.org.
    3. Oscar E Fernandez & Hiram Beltrán-Sánchez, 2022. "Life span inequality as a function of the moments of the deaths distribution: Connections and insights," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-17, January.
    4. Jose Manuel Aburto & Jesús-Adrián Alvarez & Francisco Villavicencio & James W. Vaupel, 2019. "The threshold age of the lifetable entropy," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(4), pages 83-102.
    5. Jesús-Adrián Álvarez & Malene Kallestrup-Lamb & Søren Kjærgaard, 2020. "Linking retirement age to life expectancy does not lessen the demographic implications of unequal lifespans," CREATES Research Papers 2020-17, Department of Economics and Business Economics, Aarhus University.
    6. Francisco Goerlich, 2020. "Distributionally adjusted life expectancy as a life table function," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 43(14), pages 365-400.
    7. Iñaki Permanyer & Jeroen Spijker & Amand Blanes & Elisenda Renteria, 2018. "Longevity and Lifespan Variation by Educational Attainment in Spain: 1960–2015," Demography, Springer;Population Association of America (PAA), vol. 55(6), pages 2045-2070, December.
    8. Alvarez, Jesús-Adrián & Kallestrup-Lamb, Malene & Kjærgaard, Søren, 2021. "Linking retirement age to life expectancy does not lessen the demographic implications of unequal lifespans," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 363-375.
    9. Iñaki Permanyer & Nathalie Scholl, 2019. "Global trends in lifespan inequality: 1950-2015," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-19, May.
    10. Annette Baudisch & Jesús-Adrián Alvarez, 2021. "Born once, die once: Life table relationships for fertility," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 44(2), pages 49-66.

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