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Disability-adjusted life years associated with population ageing in China, 1990-2017
BACKGROUND: The Chinese population has aged significantly in the last few decades. Comprehensive health losses including both fatal and non-fatal health outcomes associated with ageing in China have not been detailed. METHODS: Based on freely accessible disability adjusted life years (DALYs) estimat...
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/PMC8207592/ https://www.ncbi.nlm.nih.gov/pubmed/34134664 http://dx.doi.org/10.1186/s12877-021-02322-7 |
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author | Li, Ruotong Cheng, Xunjie Schwebel, David C. Yang, Yang Ning, Peishan Cheng, Peixia Hu, Guoqing |
author_facet | Li, Ruotong Cheng, Xunjie Schwebel, David C. Yang, Yang Ning, Peishan Cheng, Peixia Hu, Guoqing |
author_sort | Li, Ruotong |
collection | PubMed |
description | BACKGROUND: The Chinese population has aged significantly in the last few decades. Comprehensive health losses including both fatal and non-fatal health outcomes associated with ageing in China have not been detailed. METHODS: Based on freely accessible disability adjusted life years (DALYs) estimated by the Global Burden of Diseases (GBD) 2017, we adopted a robust decomposition method that ascribes changes in DALYs in any given country across two time points to changes resulting from three sources: population size, age structure, and age-specific DALYs rate per 100,000 population. Using the method, we calculated DALYs associated with population ageing in China from 1990 to 2017 and examined the counteraction between the effects of DALYs rate change and population ageing. This method extends previous work through attributing the change in DALYs to the three sources. RESULTS: Population ageing was associated with 92.8 million DALYs between 1990 and 2017 in China, of which 65.8% (61.1 million) were years of life lost (YLLs). Males had comparatively more DALYs associated with population ageing than females in the study period. The five leading causes of DALYs associated with population ageing between 1990 and 2017 were stroke (23.6 million), chronic obstructive pulmonary disease (COPD) (18.3 million), ischemic heart disease (13.0 million), tracheal, bronchus, and lung cancer (6.1 million) and liver cancer (5.0 million). Between 1990 and 2017, changes in DALYs associated with age-specific DALY rate reductions far exceeded those related to population ageing (− 196.2 million versus 92.8 million); 57.5% (− 112.8 million) of DALYs were caused by decreases in rates attributed to 84 modifiable risk factors. CONCLUSION: Population ageing was associated with growing health loss in China from 1990 to 2017. Despite the recent progress in alleviating health loss associated with population ageing, the government should encourage scientific research on effective and affordable prevention and control strategies and should consider investment in resources to implement strategies nationwide to address the future challenge of population ageing. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-021-02322-7. |
format | Online Article Text |
id | pubmed-8207592 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82075922021-06-16 Disability-adjusted life years associated with population ageing in China, 1990-2017 Li, Ruotong Cheng, Xunjie Schwebel, David C. Yang, Yang Ning, Peishan Cheng, Peixia Hu, Guoqing BMC Geriatr Research BACKGROUND: The Chinese population has aged significantly in the last few decades. Comprehensive health losses including both fatal and non-fatal health outcomes associated with ageing in China have not been detailed. METHODS: Based on freely accessible disability adjusted life years (DALYs) estimated by the Global Burden of Diseases (GBD) 2017, we adopted a robust decomposition method that ascribes changes in DALYs in any given country across two time points to changes resulting from three sources: population size, age structure, and age-specific DALYs rate per 100,000 population. Using the method, we calculated DALYs associated with population ageing in China from 1990 to 2017 and examined the counteraction between the effects of DALYs rate change and population ageing. This method extends previous work through attributing the change in DALYs to the three sources. RESULTS: Population ageing was associated with 92.8 million DALYs between 1990 and 2017 in China, of which 65.8% (61.1 million) were years of life lost (YLLs). Males had comparatively more DALYs associated with population ageing than females in the study period. The five leading causes of DALYs associated with population ageing between 1990 and 2017 were stroke (23.6 million), chronic obstructive pulmonary disease (COPD) (18.3 million), ischemic heart disease (13.0 million), tracheal, bronchus, and lung cancer (6.1 million) and liver cancer (5.0 million). Between 1990 and 2017, changes in DALYs associated with age-specific DALY rate reductions far exceeded those related to population ageing (− 196.2 million versus 92.8 million); 57.5% (− 112.8 million) of DALYs were caused by decreases in rates attributed to 84 modifiable risk factors. CONCLUSION: Population ageing was associated with growing health loss in China from 1990 to 2017. Despite the recent progress in alleviating health loss associated with population ageing, the government should encourage scientific research on effective and affordable prevention and control strategies and should consider investment in resources to implement strategies nationwide to address the future challenge of population ageing. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-021-02322-7. BioMed Central 2021-06-16 /pmc/articles/PMC8207592/ /pubmed/34134664 http://dx.doi.org/10.1186/s12877-021-02322-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 | Research Li, Ruotong Cheng, Xunjie Schwebel, David C. Yang, Yang Ning, Peishan Cheng, Peixia Hu, Guoqing Disability-adjusted life years associated with population ageing in China, 1990-2017 |
title | Disability-adjusted life years associated with population ageing in China, 1990-2017 |
title_full | Disability-adjusted life years associated with population ageing in China, 1990-2017 |
title_fullStr | Disability-adjusted life years associated with population ageing in China, 1990-2017 |
title_full_unstemmed | Disability-adjusted life years associated with population ageing in China, 1990-2017 |
title_short | Disability-adjusted life years associated with population ageing in China, 1990-2017 |
title_sort | disability-adjusted life years associated with population ageing in china, 1990-2017 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8207592/ https://www.ncbi.nlm.nih.gov/pubmed/34134664 http://dx.doi.org/10.1186/s12877-021-02322-7 |
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