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Dependency ratios in healthy ageing

Although people are living longer, there is no discernible pattern about the quality of life in an increasing lifespan. This restricts our capacity to predict and prepare for the consequences of population ageing. Accordingly, we propose a population ageing indicator that combines demographic and di...

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Autores principales: Wachs, Diego, Roman-Urrestarazu, Andres, Brayne, Carol, Onrubia-Fernández, Jorge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7204924/
https://www.ncbi.nlm.nih.gov/pubmed/32399256
http://dx.doi.org/10.1136/bmjgh-2019-002117
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author Wachs, Diego
Roman-Urrestarazu, Andres
Brayne, Carol
Onrubia-Fernández, Jorge
author_facet Wachs, Diego
Roman-Urrestarazu, Andres
Brayne, Carol
Onrubia-Fernández, Jorge
author_sort Wachs, Diego
collection PubMed
description Although people are living longer, there is no discernible pattern about the quality of life in an increasing lifespan. This restricts our capacity to predict and prepare for the consequences of population ageing. Accordingly, we propose a population ageing indicator that combines demographic and disability prevalence data through a characteristics approach and explore different scenarios to account for uncertainty in life quality projections. Our results, available for 186 countries, show that countries that rank older under conventional chronological ageing measures may rank younger under our qualitative measure. Additionally, we find substantial differences in our projections depending on different health assumptions, demonstrating the risk of using ageing indicators that make implicit assumptions about health characteristics.
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spelling pubmed-72049242020-05-12 Dependency ratios in healthy ageing Wachs, Diego Roman-Urrestarazu, Andres Brayne, Carol Onrubia-Fernández, Jorge BMJ Glob Health Original Research Although people are living longer, there is no discernible pattern about the quality of life in an increasing lifespan. This restricts our capacity to predict and prepare for the consequences of population ageing. Accordingly, we propose a population ageing indicator that combines demographic and disability prevalence data through a characteristics approach and explore different scenarios to account for uncertainty in life quality projections. Our results, available for 186 countries, show that countries that rank older under conventional chronological ageing measures may rank younger under our qualitative measure. Additionally, we find substantial differences in our projections depending on different health assumptions, demonstrating the risk of using ageing indicators that make implicit assumptions about health characteristics. BMJ Publishing Group 2020-04-20 /pmc/articles/PMC7204924/ /pubmed/32399256 http://dx.doi.org/10.1136/bmjgh-2019-002117 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research
Wachs, Diego
Roman-Urrestarazu, Andres
Brayne, Carol
Onrubia-Fernández, Jorge
Dependency ratios in healthy ageing
title Dependency ratios in healthy ageing
title_full Dependency ratios in healthy ageing
title_fullStr Dependency ratios in healthy ageing
title_full_unstemmed Dependency ratios in healthy ageing
title_short Dependency ratios in healthy ageing
title_sort dependency ratios in healthy ageing
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7204924/
https://www.ncbi.nlm.nih.gov/pubmed/32399256
http://dx.doi.org/10.1136/bmjgh-2019-002117
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