Cargando…

Burden of disease among the world’s poorest billion people: An expert-informed secondary analysis of Global Burden of Disease estimates

BACKGROUND: The health of populations living in extreme poverty has been a long-standing focus of global development efforts, and continues to be a priority during the Sustainable Development Goal era. However, there has not been a systematic attempt to quantify the magnitude and causes of the burde...

Descripción completa

Detalles Bibliográficos
Autores principales: Coates, Matthew M., Ezzati, Majid, Robles Aguilar, Gisela, Kwan, Gene F., Vigo, Daniel, Mocumbi, Ana O., Becker, Anne E., Makani, Julie, Hyder, Adnan A., Jain, Yogesh, Stefan, D. Cristina, Gupta, Neil, Marx, Andrew, Bukhman, Gene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8366975/
https://www.ncbi.nlm.nih.gov/pubmed/34398896
http://dx.doi.org/10.1371/journal.pone.0253073
_version_ 1783738982856654848
author Coates, Matthew M.
Ezzati, Majid
Robles Aguilar, Gisela
Kwan, Gene F.
Vigo, Daniel
Mocumbi, Ana O.
Becker, Anne E.
Makani, Julie
Hyder, Adnan A.
Jain, Yogesh
Stefan, D. Cristina
Gupta, Neil
Marx, Andrew
Bukhman, Gene
author_facet Coates, Matthew M.
Ezzati, Majid
Robles Aguilar, Gisela
Kwan, Gene F.
Vigo, Daniel
Mocumbi, Ana O.
Becker, Anne E.
Makani, Julie
Hyder, Adnan A.
Jain, Yogesh
Stefan, D. Cristina
Gupta, Neil
Marx, Andrew
Bukhman, Gene
author_sort Coates, Matthew M.
collection PubMed
description BACKGROUND: The health of populations living in extreme poverty has been a long-standing focus of global development efforts, and continues to be a priority during the Sustainable Development Goal era. However, there has not been a systematic attempt to quantify the magnitude and causes of the burden in this specific population for almost two decades. We estimated disease rates by cause for the world’s poorest billion and compared these rates to those in high-income populations. METHODS: We defined the population in extreme poverty using a multidimensional poverty index. We used national-level disease burden estimates from the 2017 Global Burden of Disease Study and adjusted these to account for within-country variation in rates. To adjust for within-country variation, we looked to the relationship between rates of extreme poverty and disease rates across countries. In our main modeling approach, we used these relationships when there was consistency with expert opinion from a survey we conducted of disease experts regarding the associations between household poverty and the incidence and fatality of conditions. Otherwise, no within-country variation was assumed. We compared results across multiple approaches for estimating the burden in the poorest billion, including aggregating national-level burden from the countries with the highest poverty rates. We examined the composition of the estimated disease burden among the poorest billion and made comparisons with estimates for high-income countries. RESULTS: The composition of disease burden among the poorest billion, as measured by disability-adjusted life years (DALYs), was 65% communicable, maternal, neonatal, and nutritional (CMNN) diseases, 29% non-communicable diseases (NCDs), and 6% injuries. Age-standardized DALY rates from NCDs were 44% higher in the poorest billion (23,583 DALYs per 100,000) compared to high-income regions (16,344 DALYs per 100,000). Age-standardized DALY rates were 2,147% higher for CMNN conditions (32,334 DALYs per 100,000) and 86% higher for injuries (4,182 DALYs per 100,000) in the poorest billion, compared to high-income regions. CONCLUSION: The disease burden among the poorest people globally compared to that in high income countries is highly influenced by demographics as well as large disparities in burden from many conditions. The comparisons show that the largest disparities remain in communicable, maternal, neonatal, and nutritional diseases, though NCDs and injuries are an important part of the “unfinished agenda” of poor health among those living in extreme poverty.
format Online
Article
Text
id pubmed-8366975
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-83669752021-08-17 Burden of disease among the world’s poorest billion people: An expert-informed secondary analysis of Global Burden of Disease estimates Coates, Matthew M. Ezzati, Majid Robles Aguilar, Gisela Kwan, Gene F. Vigo, Daniel Mocumbi, Ana O. Becker, Anne E. Makani, Julie Hyder, Adnan A. Jain, Yogesh Stefan, D. Cristina Gupta, Neil Marx, Andrew Bukhman, Gene PLoS One Research Article BACKGROUND: The health of populations living in extreme poverty has been a long-standing focus of global development efforts, and continues to be a priority during the Sustainable Development Goal era. However, there has not been a systematic attempt to quantify the magnitude and causes of the burden in this specific population for almost two decades. We estimated disease rates by cause for the world’s poorest billion and compared these rates to those in high-income populations. METHODS: We defined the population in extreme poverty using a multidimensional poverty index. We used national-level disease burden estimates from the 2017 Global Burden of Disease Study and adjusted these to account for within-country variation in rates. To adjust for within-country variation, we looked to the relationship between rates of extreme poverty and disease rates across countries. In our main modeling approach, we used these relationships when there was consistency with expert opinion from a survey we conducted of disease experts regarding the associations between household poverty and the incidence and fatality of conditions. Otherwise, no within-country variation was assumed. We compared results across multiple approaches for estimating the burden in the poorest billion, including aggregating national-level burden from the countries with the highest poverty rates. We examined the composition of the estimated disease burden among the poorest billion and made comparisons with estimates for high-income countries. RESULTS: The composition of disease burden among the poorest billion, as measured by disability-adjusted life years (DALYs), was 65% communicable, maternal, neonatal, and nutritional (CMNN) diseases, 29% non-communicable diseases (NCDs), and 6% injuries. Age-standardized DALY rates from NCDs were 44% higher in the poorest billion (23,583 DALYs per 100,000) compared to high-income regions (16,344 DALYs per 100,000). Age-standardized DALY rates were 2,147% higher for CMNN conditions (32,334 DALYs per 100,000) and 86% higher for injuries (4,182 DALYs per 100,000) in the poorest billion, compared to high-income regions. CONCLUSION: The disease burden among the poorest people globally compared to that in high income countries is highly influenced by demographics as well as large disparities in burden from many conditions. The comparisons show that the largest disparities remain in communicable, maternal, neonatal, and nutritional diseases, though NCDs and injuries are an important part of the “unfinished agenda” of poor health among those living in extreme poverty. Public Library of Science 2021-08-16 /pmc/articles/PMC8366975/ /pubmed/34398896 http://dx.doi.org/10.1371/journal.pone.0253073 Text en © 2021 Coates et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Coates, Matthew M.
Ezzati, Majid
Robles Aguilar, Gisela
Kwan, Gene F.
Vigo, Daniel
Mocumbi, Ana O.
Becker, Anne E.
Makani, Julie
Hyder, Adnan A.
Jain, Yogesh
Stefan, D. Cristina
Gupta, Neil
Marx, Andrew
Bukhman, Gene
Burden of disease among the world’s poorest billion people: An expert-informed secondary analysis of Global Burden of Disease estimates
title Burden of disease among the world’s poorest billion people: An expert-informed secondary analysis of Global Burden of Disease estimates
title_full Burden of disease among the world’s poorest billion people: An expert-informed secondary analysis of Global Burden of Disease estimates
title_fullStr Burden of disease among the world’s poorest billion people: An expert-informed secondary analysis of Global Burden of Disease estimates
title_full_unstemmed Burden of disease among the world’s poorest billion people: An expert-informed secondary analysis of Global Burden of Disease estimates
title_short Burden of disease among the world’s poorest billion people: An expert-informed secondary analysis of Global Burden of Disease estimates
title_sort burden of disease among the world’s poorest billion people: an expert-informed secondary analysis of global burden of disease estimates
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8366975/
https://www.ncbi.nlm.nih.gov/pubmed/34398896
http://dx.doi.org/10.1371/journal.pone.0253073
work_keys_str_mv AT coatesmatthewm burdenofdiseaseamongtheworldspoorestbillionpeopleanexpertinformedsecondaryanalysisofglobalburdenofdiseaseestimates
AT ezzatimajid burdenofdiseaseamongtheworldspoorestbillionpeopleanexpertinformedsecondaryanalysisofglobalburdenofdiseaseestimates
AT roblesaguilargisela burdenofdiseaseamongtheworldspoorestbillionpeopleanexpertinformedsecondaryanalysisofglobalburdenofdiseaseestimates
AT kwangenef burdenofdiseaseamongtheworldspoorestbillionpeopleanexpertinformedsecondaryanalysisofglobalburdenofdiseaseestimates
AT vigodaniel burdenofdiseaseamongtheworldspoorestbillionpeopleanexpertinformedsecondaryanalysisofglobalburdenofdiseaseestimates
AT mocumbianao burdenofdiseaseamongtheworldspoorestbillionpeopleanexpertinformedsecondaryanalysisofglobalburdenofdiseaseestimates
AT beckerannee burdenofdiseaseamongtheworldspoorestbillionpeopleanexpertinformedsecondaryanalysisofglobalburdenofdiseaseestimates
AT makanijulie burdenofdiseaseamongtheworldspoorestbillionpeopleanexpertinformedsecondaryanalysisofglobalburdenofdiseaseestimates
AT hyderadnana burdenofdiseaseamongtheworldspoorestbillionpeopleanexpertinformedsecondaryanalysisofglobalburdenofdiseaseestimates
AT jainyogesh burdenofdiseaseamongtheworldspoorestbillionpeopleanexpertinformedsecondaryanalysisofglobalburdenofdiseaseestimates
AT stefandcristina burdenofdiseaseamongtheworldspoorestbillionpeopleanexpertinformedsecondaryanalysisofglobalburdenofdiseaseestimates
AT guptaneil burdenofdiseaseamongtheworldspoorestbillionpeopleanexpertinformedsecondaryanalysisofglobalburdenofdiseaseestimates
AT marxandrew burdenofdiseaseamongtheworldspoorestbillionpeopleanexpertinformedsecondaryanalysisofglobalburdenofdiseaseestimates
AT bukhmangene burdenofdiseaseamongtheworldspoorestbillionpeopleanexpertinformedsecondaryanalysisofglobalburdenofdiseaseestimates