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Widening rural–urban gap in life expectancy in China since COVID-19

INTRODUCTION: Disparities in life expectancy between rural and urban populations are well established but how it varies with epidemics and pandemics remains poorly understood. We aimed to quantify the rural–urban differences in the mortality burden of COVID-19 and to contribute to understanding the...

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Autores principales: Han, Shasha, Su, Binbin, Zhao, Yihao, Chen, Chen, Zheng, Xiaoying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10510900/
https://www.ncbi.nlm.nih.gov/pubmed/37730246
http://dx.doi.org/10.1136/bmjgh-2023-012646
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author Han, Shasha
Su, Binbin
Zhao, Yihao
Chen, Chen
Zheng, Xiaoying
author_facet Han, Shasha
Su, Binbin
Zhao, Yihao
Chen, Chen
Zheng, Xiaoying
author_sort Han, Shasha
collection PubMed
description INTRODUCTION: Disparities in life expectancy between rural and urban populations are well established but how it varies with epidemics and pandemics remains poorly understood. We aimed to quantify the rural–urban differences in the mortality burden of COVID-19 and to contribute to understanding the disparity trends in life expectancy between 1987 and 2021 in China. METHODS: We used monthly death counts from death registration systems. Rural–urban gap estimation and decomposition were carried out using period life tables to calculate life expectancy, the Arriaga decomposition technique to break down into age-specific and cause-specific mortality, and the Lee-Carter forecasts to estimate the expected gap. RESULTS: The rural–urban gap increased to 22.7 months (95% credible interval (CI) 19.6 to 25.8) in 2020 and further to 23.7 months (95% CI 19.6 to 26.7) in 2021, and was larger than expected under the continuation of the prepandemic trends. Compared with that in the recent 2003 SARS-CoV-2 epidemic and the 2009 influenza epidemic, excess rural–urban gaps in the COVID-19 pandemic changed from urban disadvantage to rural disadvantage, and the contributions shifted toward old age groups and circulatory diseases. Variations in the rural–urban gap since 1987 were positively correlated with the rural–urban disparity in public health expenditures, especially among ages <60 (p values <0.005). CONCLUSIONS: Our findings identified a widening rural–urban gap in life expectancy since COVID-19, and a shifting trend towards old ages and circulatory diseases, disrupting the diminishing trend of the gap over 35 years. The findings highlight the unequal impact of the pandemic on different communities in terms of mortality burdens.
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spelling pubmed-105109002023-09-21 Widening rural–urban gap in life expectancy in China since COVID-19 Han, Shasha Su, Binbin Zhao, Yihao Chen, Chen Zheng, Xiaoying BMJ Glob Health Original Research INTRODUCTION: Disparities in life expectancy between rural and urban populations are well established but how it varies with epidemics and pandemics remains poorly understood. We aimed to quantify the rural–urban differences in the mortality burden of COVID-19 and to contribute to understanding the disparity trends in life expectancy between 1987 and 2021 in China. METHODS: We used monthly death counts from death registration systems. Rural–urban gap estimation and decomposition were carried out using period life tables to calculate life expectancy, the Arriaga decomposition technique to break down into age-specific and cause-specific mortality, and the Lee-Carter forecasts to estimate the expected gap. RESULTS: The rural–urban gap increased to 22.7 months (95% credible interval (CI) 19.6 to 25.8) in 2020 and further to 23.7 months (95% CI 19.6 to 26.7) in 2021, and was larger than expected under the continuation of the prepandemic trends. Compared with that in the recent 2003 SARS-CoV-2 epidemic and the 2009 influenza epidemic, excess rural–urban gaps in the COVID-19 pandemic changed from urban disadvantage to rural disadvantage, and the contributions shifted toward old age groups and circulatory diseases. Variations in the rural–urban gap since 1987 were positively correlated with the rural–urban disparity in public health expenditures, especially among ages <60 (p values <0.005). CONCLUSIONS: Our findings identified a widening rural–urban gap in life expectancy since COVID-19, and a shifting trend towards old ages and circulatory diseases, disrupting the diminishing trend of the gap over 35 years. The findings highlight the unequal impact of the pandemic on different communities in terms of mortality burdens. BMJ Publishing Group 2023-09-19 /pmc/articles/PMC10510900/ /pubmed/37730246 http://dx.doi.org/10.1136/bmjgh-2023-012646 Text en © Author(s) (or their employer(s)) 2023. 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
Han, Shasha
Su, Binbin
Zhao, Yihao
Chen, Chen
Zheng, Xiaoying
Widening rural–urban gap in life expectancy in China since COVID-19
title Widening rural–urban gap in life expectancy in China since COVID-19
title_full Widening rural–urban gap in life expectancy in China since COVID-19
title_fullStr Widening rural–urban gap in life expectancy in China since COVID-19
title_full_unstemmed Widening rural–urban gap in life expectancy in China since COVID-19
title_short Widening rural–urban gap in life expectancy in China since COVID-19
title_sort widening rural–urban gap in life expectancy in china since covid-19
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10510900/
https://www.ncbi.nlm.nih.gov/pubmed/37730246
http://dx.doi.org/10.1136/bmjgh-2023-012646
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