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System models for resilience in gerontology: application to the COVID-19 pandemic
The care needs for aging adults are increasing burdens on health systems around the world. Efforts minimizing risk to improve quality of life and aging have proven moderately successful, but acute shocks and chronic stressors to an individual’s systemic physical and cognitive functions may accelerat...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807229/ https://www.ncbi.nlm.nih.gov/pubmed/33446109 http://dx.doi.org/10.1186/s12877-020-01965-2 |
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author | Klasa, Katarzyna Galaitsi, Stephanie Wister, Andrew Linkov, Igor |
author_facet | Klasa, Katarzyna Galaitsi, Stephanie Wister, Andrew Linkov, Igor |
author_sort | Klasa, Katarzyna |
collection | PubMed |
description | The care needs for aging adults are increasing burdens on health systems around the world. Efforts minimizing risk to improve quality of life and aging have proven moderately successful, but acute shocks and chronic stressors to an individual’s systemic physical and cognitive functions may accelerate their inevitable degradations. A framework for resilience to the challenges associated with aging is required to complement on-going risk reduction policies, programs and interventions. Studies measuring resilience among the elderly at the individual level have not produced a standard methodology. Moreover, resilience measurements need to incorporate external structural and system-level factors that determine the resources that adults can access while recovering from aging-related adversities. We use the National Academies of Science conceptualization of resilience for natural disasters to frame resilience for aging adults. This enables development of a generalized theory of resilience for different individual and structural contexts and populations, including a specific application to the COVID-19 pandemic. |
format | Online Article Text |
id | pubmed-7807229 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78072292021-01-14 System models for resilience in gerontology: application to the COVID-19 pandemic Klasa, Katarzyna Galaitsi, Stephanie Wister, Andrew Linkov, Igor BMC Geriatr Review The care needs for aging adults are increasing burdens on health systems around the world. Efforts minimizing risk to improve quality of life and aging have proven moderately successful, but acute shocks and chronic stressors to an individual’s systemic physical and cognitive functions may accelerate their inevitable degradations. A framework for resilience to the challenges associated with aging is required to complement on-going risk reduction policies, programs and interventions. Studies measuring resilience among the elderly at the individual level have not produced a standard methodology. Moreover, resilience measurements need to incorporate external structural and system-level factors that determine the resources that adults can access while recovering from aging-related adversities. We use the National Academies of Science conceptualization of resilience for natural disasters to frame resilience for aging adults. This enables development of a generalized theory of resilience for different individual and structural contexts and populations, including a specific application to the COVID-19 pandemic. BioMed Central 2021-01-14 /pmc/articles/PMC7807229/ /pubmed/33446109 http://dx.doi.org/10.1186/s12877-020-01965-2 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Klasa, Katarzyna Galaitsi, Stephanie Wister, Andrew Linkov, Igor System models for resilience in gerontology: application to the COVID-19 pandemic |
title | System models for resilience in gerontology: application to the COVID-19 pandemic |
title_full | System models for resilience in gerontology: application to the COVID-19 pandemic |
title_fullStr | System models for resilience in gerontology: application to the COVID-19 pandemic |
title_full_unstemmed | System models for resilience in gerontology: application to the COVID-19 pandemic |
title_short | System models for resilience in gerontology: application to the COVID-19 pandemic |
title_sort | system models for resilience in gerontology: application to the covid-19 pandemic |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807229/ https://www.ncbi.nlm.nih.gov/pubmed/33446109 http://dx.doi.org/10.1186/s12877-020-01965-2 |
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