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Impact of COVID-19 on life expectancy at birth in India: a decomposition analysis

BACKGROUND: Quantifying excess deaths and their impact on life expectancy at birth (e(0)) provide a more comprehensive understanding of the burden of coronavirus disease of 2019 (COVID-19) on mortality. The study aims to comprehend the repercussions of the burden of COVID-19 disease on the life expe...

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Autores principales: Yadav, Suryakant, Yadav, Pawan Kumar, Yadav, Neha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528662/
https://www.ncbi.nlm.nih.gov/pubmed/34670537
http://dx.doi.org/10.1186/s12889-021-11690-z
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author Yadav, Suryakant
Yadav, Pawan Kumar
Yadav, Neha
author_facet Yadav, Suryakant
Yadav, Pawan Kumar
Yadav, Neha
author_sort Yadav, Suryakant
collection PubMed
description BACKGROUND: Quantifying excess deaths and their impact on life expectancy at birth (e(0)) provide a more comprehensive understanding of the burden of coronavirus disease of 2019 (COVID-19) on mortality. The study aims to comprehend the repercussions of the burden of COVID-19 disease on the life expectancy at birth and inequality in age at death in India. METHODS: The mortality schedule of COVID-19 disease in the pandemic year 2020 was considered one of the causes of death in the category of other infectious diseases in addition to other 21 causes of death in the non-pandemic year 2019 in the Global Burden of Disease (GBD) data. The measures e(0) and Gini coefficient at age zero (G(0)) and then sex differences in e(0) and G(0) over time were analysed by assessing the age-specific contributions based on the application of decomposition analyses in the entire period of 2010–2020. RESULTS: The e(0) for men and women decline from 69.5 and 72.0 years in 2019 to 67.5 and 69.8 years, respectively, in 2020. The e(0) shows a drop of approximately 2.0 years in 2020 when compared to 2019. The sex differences in e(0) and G(0) are negatively skewed towards men. The trends in e(0) and G(0) value reveal that its value in 2020 is comparable to that in the early 2010s. The age group of 35–79 years showed a remarkable negative contribution to Δe(0) and ΔG(0). By causes of death, the COVID-19 disease has contributed − 1.5 and − 9.5%, respectively, whereas cardiovascular diseases contributed the largest value of was 44.6 and 45.9%, respectively, to sex differences in e(0) and G(0) in 2020. The outcomes reveal a significant impact of excess deaths caused by the COVID-19 disease on mortality patterns. CONCLUSIONS: The COVID-19 pandemic has negative repercussions on e(0) and G(0) in the pandemic year 2020. It has severely affected the distribution of age at death in India, resulting in widening the sex differences in e(0) and G(0). The COVID-19 disease demonstrates its potential to cancel the gains of six to eight years in e(0) and five years in G(0) and has slowed the mortality transition in India.
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spelling pubmed-85286622021-10-21 Impact of COVID-19 on life expectancy at birth in India: a decomposition analysis Yadav, Suryakant Yadav, Pawan Kumar Yadav, Neha BMC Public Health Research BACKGROUND: Quantifying excess deaths and their impact on life expectancy at birth (e(0)) provide a more comprehensive understanding of the burden of coronavirus disease of 2019 (COVID-19) on mortality. The study aims to comprehend the repercussions of the burden of COVID-19 disease on the life expectancy at birth and inequality in age at death in India. METHODS: The mortality schedule of COVID-19 disease in the pandemic year 2020 was considered one of the causes of death in the category of other infectious diseases in addition to other 21 causes of death in the non-pandemic year 2019 in the Global Burden of Disease (GBD) data. The measures e(0) and Gini coefficient at age zero (G(0)) and then sex differences in e(0) and G(0) over time were analysed by assessing the age-specific contributions based on the application of decomposition analyses in the entire period of 2010–2020. RESULTS: The e(0) for men and women decline from 69.5 and 72.0 years in 2019 to 67.5 and 69.8 years, respectively, in 2020. The e(0) shows a drop of approximately 2.0 years in 2020 when compared to 2019. The sex differences in e(0) and G(0) are negatively skewed towards men. The trends in e(0) and G(0) value reveal that its value in 2020 is comparable to that in the early 2010s. The age group of 35–79 years showed a remarkable negative contribution to Δe(0) and ΔG(0). By causes of death, the COVID-19 disease has contributed − 1.5 and − 9.5%, respectively, whereas cardiovascular diseases contributed the largest value of was 44.6 and 45.9%, respectively, to sex differences in e(0) and G(0) in 2020. The outcomes reveal a significant impact of excess deaths caused by the COVID-19 disease on mortality patterns. CONCLUSIONS: The COVID-19 pandemic has negative repercussions on e(0) and G(0) in the pandemic year 2020. It has severely affected the distribution of age at death in India, resulting in widening the sex differences in e(0) and G(0). The COVID-19 disease demonstrates its potential to cancel the gains of six to eight years in e(0) and five years in G(0) and has slowed the mortality transition in India. BioMed Central 2021-10-21 /pmc/articles/PMC8528662/ /pubmed/34670537 http://dx.doi.org/10.1186/s12889-021-11690-z 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
Yadav, Suryakant
Yadav, Pawan Kumar
Yadav, Neha
Impact of COVID-19 on life expectancy at birth in India: a decomposition analysis
title Impact of COVID-19 on life expectancy at birth in India: a decomposition analysis
title_full Impact of COVID-19 on life expectancy at birth in India: a decomposition analysis
title_fullStr Impact of COVID-19 on life expectancy at birth in India: a decomposition analysis
title_full_unstemmed Impact of COVID-19 on life expectancy at birth in India: a decomposition analysis
title_short Impact of COVID-19 on life expectancy at birth in India: a decomposition analysis
title_sort impact of covid-19 on life expectancy at birth in india: a decomposition analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528662/
https://www.ncbi.nlm.nih.gov/pubmed/34670537
http://dx.doi.org/10.1186/s12889-021-11690-z
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