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Exponential increase in mortality with age is a generic property of a simple model system of damage accumulation and death

The risk of dying increases exponentially with age, in humans as well as in many other species. This increase is often attributed to the “accumulation of damage” known to occur in many biological structures and systems. The aim of this paper is to describe a generic model of damage accumulation and...

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Autor principal: Ledberg, Anders
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7272078/
https://www.ncbi.nlm.nih.gov/pubmed/32497107
http://dx.doi.org/10.1371/journal.pone.0233384
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author Ledberg, Anders
author_facet Ledberg, Anders
author_sort Ledberg, Anders
collection PubMed
description The risk of dying increases exponentially with age, in humans as well as in many other species. This increase is often attributed to the “accumulation of damage” known to occur in many biological structures and systems. The aim of this paper is to describe a generic model of damage accumulation and death in which mortality increases exponentially with age. The damage-accumulation process is modeled by a stochastic process know as a queue, and risk of dying is a function of the accumulated damage, i.e., length of the queue. The model has four parameters and the main characteristics of the model are: (i) damage occurs at random times with a constant high rate; (ii) the damage is repaired at a limited rate, and consequently damage can accumulate; (iii) the efficiency of the repair mechanism decays linearly with age; (iv) the risk of dying is a function of the accumulated damage. Using standard results from the mathematical theory of queues it is shown that there is an exponential dependence between risk of dying and age in these models, and that this dependency holds irrespective of how the damage-accumulation process is modeled. Furthermore, the ways in which this exponential dependence is shaped by the model parameters are also independent of the details of the damage accumulation process. These generic features suggest that the model could be useful when interpreting changes in the relation between age and mortality in real data. To exemplify, historical mortality data from Sweden are interpreted in the light of the model. The decrease in mortality seen between cohorts born in 1905, compared to those born in 1885, can be accounted for by higher threshold to damage. This fits well with the many advances made in public health during the 20th century.
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spelling pubmed-72720782020-06-09 Exponential increase in mortality with age is a generic property of a simple model system of damage accumulation and death Ledberg, Anders PLoS One Research Article The risk of dying increases exponentially with age, in humans as well as in many other species. This increase is often attributed to the “accumulation of damage” known to occur in many biological structures and systems. The aim of this paper is to describe a generic model of damage accumulation and death in which mortality increases exponentially with age. The damage-accumulation process is modeled by a stochastic process know as a queue, and risk of dying is a function of the accumulated damage, i.e., length of the queue. The model has four parameters and the main characteristics of the model are: (i) damage occurs at random times with a constant high rate; (ii) the damage is repaired at a limited rate, and consequently damage can accumulate; (iii) the efficiency of the repair mechanism decays linearly with age; (iv) the risk of dying is a function of the accumulated damage. Using standard results from the mathematical theory of queues it is shown that there is an exponential dependence between risk of dying and age in these models, and that this dependency holds irrespective of how the damage-accumulation process is modeled. Furthermore, the ways in which this exponential dependence is shaped by the model parameters are also independent of the details of the damage accumulation process. These generic features suggest that the model could be useful when interpreting changes in the relation between age and mortality in real data. To exemplify, historical mortality data from Sweden are interpreted in the light of the model. The decrease in mortality seen between cohorts born in 1905, compared to those born in 1885, can be accounted for by higher threshold to damage. This fits well with the many advances made in public health during the 20th century. Public Library of Science 2020-06-04 /pmc/articles/PMC7272078/ /pubmed/32497107 http://dx.doi.org/10.1371/journal.pone.0233384 Text en © 2020 Anders Ledberg http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://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
Ledberg, Anders
Exponential increase in mortality with age is a generic property of a simple model system of damage accumulation and death
title Exponential increase in mortality with age is a generic property of a simple model system of damage accumulation and death
title_full Exponential increase in mortality with age is a generic property of a simple model system of damage accumulation and death
title_fullStr Exponential increase in mortality with age is a generic property of a simple model system of damage accumulation and death
title_full_unstemmed Exponential increase in mortality with age is a generic property of a simple model system of damage accumulation and death
title_short Exponential increase in mortality with age is a generic property of a simple model system of damage accumulation and death
title_sort exponential increase in mortality with age is a generic property of a simple model system of damage accumulation and death
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7272078/
https://www.ncbi.nlm.nih.gov/pubmed/32497107
http://dx.doi.org/10.1371/journal.pone.0233384
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