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Predicting death quality from life prior to death among older Chinese in a retrospective cohort study

BACKGROUND: The pursuit of a good death is crucial in aging societies. This retrospective cohort study investigated the relation between life prior to death and quality of death among older Chinese. METHODS: End-of-life data reported by relatives of participants (aged 54 and over) from the Chinese L...

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Autores principales: Li, Jing, Song, Liangjun, Peng, Xizhe, Hu, Zhan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9618644/
https://www.ncbi.nlm.nih.gov/pubmed/36324450
http://dx.doi.org/10.3389/fpubh.2022.931711
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author Li, Jing
Song, Liangjun
Peng, Xizhe
Hu, Zhan
author_facet Li, Jing
Song, Liangjun
Peng, Xizhe
Hu, Zhan
author_sort Li, Jing
collection PubMed
description BACKGROUND: The pursuit of a good death is crucial in aging societies. This retrospective cohort study investigated the relation between life prior to death and quality of death among older Chinese. METHODS: End-of-life data reported by relatives of participants (aged 54 and over) from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) who deceased between January 2011 and June 2019 were utilized. Life prior to death included health condition (morbid or not) and physical functioning (a latent factor with six indicators). Quality of death was assessed by painlessness and consciousness at death. Confirmatory Factor Analysis was employed to examine the factor structure of physical functioning and Structural Equation Modeling to explore associations between life prior to death and death quality based on sex and residence location. RESULTS: Freedom from chronic diseases was found to contribute to high-quality deaths (i.e., being painless and conscious) both directly and indirectly by enhancing physical functioning. Men and women diverged toward end-of-life: women were moderately less liable to illnesses and thus less painful at death. Yet, men functioned much better, and more often remained conscious when dying. Location's effect was weaker: although rural residents were more prone to painful deaths than urban dwellers, this urban-rural divide was slightly narrowed by rural settlers' relative health, which also indirectly led to their slight advantage in consciousness at death. CONCLUSIONS: The results suggested that different dimensions of life prior to death predicted quality of death. Additionally, morbidity's effect on functioning and death quality stresses health management's role in improving end-of-life experiences.
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spelling pubmed-96186442022-11-01 Predicting death quality from life prior to death among older Chinese in a retrospective cohort study Li, Jing Song, Liangjun Peng, Xizhe Hu, Zhan Front Public Health Public Health BACKGROUND: The pursuit of a good death is crucial in aging societies. This retrospective cohort study investigated the relation between life prior to death and quality of death among older Chinese. METHODS: End-of-life data reported by relatives of participants (aged 54 and over) from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) who deceased between January 2011 and June 2019 were utilized. Life prior to death included health condition (morbid or not) and physical functioning (a latent factor with six indicators). Quality of death was assessed by painlessness and consciousness at death. Confirmatory Factor Analysis was employed to examine the factor structure of physical functioning and Structural Equation Modeling to explore associations between life prior to death and death quality based on sex and residence location. RESULTS: Freedom from chronic diseases was found to contribute to high-quality deaths (i.e., being painless and conscious) both directly and indirectly by enhancing physical functioning. Men and women diverged toward end-of-life: women were moderately less liable to illnesses and thus less painful at death. Yet, men functioned much better, and more often remained conscious when dying. Location's effect was weaker: although rural residents were more prone to painful deaths than urban dwellers, this urban-rural divide was slightly narrowed by rural settlers' relative health, which also indirectly led to their slight advantage in consciousness at death. CONCLUSIONS: The results suggested that different dimensions of life prior to death predicted quality of death. Additionally, morbidity's effect on functioning and death quality stresses health management's role in improving end-of-life experiences. Frontiers Media S.A. 2022-10-17 /pmc/articles/PMC9618644/ /pubmed/36324450 http://dx.doi.org/10.3389/fpubh.2022.931711 Text en Copyright © 2022 Li, Song, Peng and Hu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Li, Jing
Song, Liangjun
Peng, Xizhe
Hu, Zhan
Predicting death quality from life prior to death among older Chinese in a retrospective cohort study
title Predicting death quality from life prior to death among older Chinese in a retrospective cohort study
title_full Predicting death quality from life prior to death among older Chinese in a retrospective cohort study
title_fullStr Predicting death quality from life prior to death among older Chinese in a retrospective cohort study
title_full_unstemmed Predicting death quality from life prior to death among older Chinese in a retrospective cohort study
title_short Predicting death quality from life prior to death among older Chinese in a retrospective cohort study
title_sort predicting death quality from life prior to death among older chinese in a retrospective cohort study
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9618644/
https://www.ncbi.nlm.nih.gov/pubmed/36324450
http://dx.doi.org/10.3389/fpubh.2022.931711
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