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Regularities in human mortality after age 105

Empirical research on human mortality and extreme longevity suggests that the risk of death among the oldest-old ceases to increase and levels off at age 110. The universality of this finding remains in dispute because of two main reasons: i) high uncertainty around statistical estimates generated f...

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Autores principales: Alvarez, Jesús-Adrián, Villavicencio, Francisco, Strozza, Cosmo, Camarda, Carlo Giovanni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8279393/
https://www.ncbi.nlm.nih.gov/pubmed/34260647
http://dx.doi.org/10.1371/journal.pone.0253940
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author Alvarez, Jesús-Adrián
Villavicencio, Francisco
Strozza, Cosmo
Camarda, Carlo Giovanni
author_facet Alvarez, Jesús-Adrián
Villavicencio, Francisco
Strozza, Cosmo
Camarda, Carlo Giovanni
author_sort Alvarez, Jesús-Adrián
collection PubMed
description Empirical research on human mortality and extreme longevity suggests that the risk of death among the oldest-old ceases to increase and levels off at age 110. The universality of this finding remains in dispute because of two main reasons: i) high uncertainty around statistical estimates generated from scarce data, and ii) the lack of country-specific comparisons. In this article, we estimate age patterns of mortality above age 105 using data from the International Database on Longevity, an exceptionally large and recently updated database comprising more than 13,000 validated records of long-lived individuals from eight populations. We show that, in all of them, similar mortality trajectories arise, suggesting that the risk of dying levels off after age 105. As more high-quality data become available, there is more evidence in support of a levelling-off of the risk of dying as a regularity of longevous populations.
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spelling pubmed-82793932021-07-31 Regularities in human mortality after age 105 Alvarez, Jesús-Adrián Villavicencio, Francisco Strozza, Cosmo Camarda, Carlo Giovanni PLoS One Research Article Empirical research on human mortality and extreme longevity suggests that the risk of death among the oldest-old ceases to increase and levels off at age 110. The universality of this finding remains in dispute because of two main reasons: i) high uncertainty around statistical estimates generated from scarce data, and ii) the lack of country-specific comparisons. In this article, we estimate age patterns of mortality above age 105 using data from the International Database on Longevity, an exceptionally large and recently updated database comprising more than 13,000 validated records of long-lived individuals from eight populations. We show that, in all of them, similar mortality trajectories arise, suggesting that the risk of dying levels off after age 105. As more high-quality data become available, there is more evidence in support of a levelling-off of the risk of dying as a regularity of longevous populations. Public Library of Science 2021-07-14 /pmc/articles/PMC8279393/ /pubmed/34260647 http://dx.doi.org/10.1371/journal.pone.0253940 Text en © 2021 Alvarez et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Alvarez, Jesús-Adrián
Villavicencio, Francisco
Strozza, Cosmo
Camarda, Carlo Giovanni
Regularities in human mortality after age 105
title Regularities in human mortality after age 105
title_full Regularities in human mortality after age 105
title_fullStr Regularities in human mortality after age 105
title_full_unstemmed Regularities in human mortality after age 105
title_short Regularities in human mortality after age 105
title_sort regularities in human mortality after age 105
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8279393/
https://www.ncbi.nlm.nih.gov/pubmed/34260647
http://dx.doi.org/10.1371/journal.pone.0253940
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