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Why do some countries do better or worse in life expectancy relative to income? An analysis of Brazil, Ethiopia, and the United States of America

BACKGROUND: While in general a country’s life expectancy increases with national income, some countries “punch above their weight”, while some “punch below their weight” – achieving higher or lower life expectancy than would be predicted by their per capita income. Discovering which conditions or po...

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Autores principales: Freeman, Toby, Gesesew, Hailay Abrha, Bambra, Clare, Giugliani, Elsa Regina Justo, Popay, Jennie, Sanders, David, Macinko, James, Musolino, Connie, Baum, Fran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7654592/
https://www.ncbi.nlm.nih.gov/pubmed/33168040
http://dx.doi.org/10.1186/s12939-020-01315-z
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author Freeman, Toby
Gesesew, Hailay Abrha
Bambra, Clare
Giugliani, Elsa Regina Justo
Popay, Jennie
Sanders, David
Macinko, James
Musolino, Connie
Baum, Fran
author_facet Freeman, Toby
Gesesew, Hailay Abrha
Bambra, Clare
Giugliani, Elsa Regina Justo
Popay, Jennie
Sanders, David
Macinko, James
Musolino, Connie
Baum, Fran
author_sort Freeman, Toby
collection PubMed
description BACKGROUND: While in general a country’s life expectancy increases with national income, some countries “punch above their weight”, while some “punch below their weight” – achieving higher or lower life expectancy than would be predicted by their per capita income. Discovering which conditions or policies contribute to this outcome is critical to improving population health globally. METHODS: We conducted a mixed-method study which included: analysis of life expectancy relative to income for all countries; an expert opinion study; and scoping reviews of literature and data to examine factors that may impact on life expectancy relative to income in three countries: Ethiopia, Brazil, and the United States. Punching above or below weight status was calculated using life expectancy at birth and gross domestic product per capita for 2014–2018. The scoping reviews covered the political context and history, social determinants of health, civil society, and political participation in each country. RESULTS: Possible drivers identified for Ethiopia’s extra 3 years life expectancy included community-based health strategies, improving access to safe water, female education and gender empowerment, and the rise of civil society organisations. Brazil punched above its weight by 2 years. Possible drivers identified included socio-political and economic improvements, reduced inequality, female education, health care coverage, civil society, and political participation. The United States’ neoliberal economics and limited social security, market-based healthcare, limited public health regulation, weak social safety net, significant increases in income inequality and lower levels of political participation may have contributed to the country punching 2.9 years below weight. CONCLUSIONS: The review highlighted potential structural determinants driving differential performance in population health outcomes cross-nationally. These included greater equity, a more inclusive welfare system, high political participation, strong civil society and access to employment, housing, safe water, a clean environment, and education. We recommend research comparing more countries, and also to examine the processes driving within-country inequities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12939-020-01315-z.
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spelling pubmed-76545922020-11-12 Why do some countries do better or worse in life expectancy relative to income? An analysis of Brazil, Ethiopia, and the United States of America Freeman, Toby Gesesew, Hailay Abrha Bambra, Clare Giugliani, Elsa Regina Justo Popay, Jennie Sanders, David Macinko, James Musolino, Connie Baum, Fran Int J Equity Health Research BACKGROUND: While in general a country’s life expectancy increases with national income, some countries “punch above their weight”, while some “punch below their weight” – achieving higher or lower life expectancy than would be predicted by their per capita income. Discovering which conditions or policies contribute to this outcome is critical to improving population health globally. METHODS: We conducted a mixed-method study which included: analysis of life expectancy relative to income for all countries; an expert opinion study; and scoping reviews of literature and data to examine factors that may impact on life expectancy relative to income in three countries: Ethiopia, Brazil, and the United States. Punching above or below weight status was calculated using life expectancy at birth and gross domestic product per capita for 2014–2018. The scoping reviews covered the political context and history, social determinants of health, civil society, and political participation in each country. RESULTS: Possible drivers identified for Ethiopia’s extra 3 years life expectancy included community-based health strategies, improving access to safe water, female education and gender empowerment, and the rise of civil society organisations. Brazil punched above its weight by 2 years. Possible drivers identified included socio-political and economic improvements, reduced inequality, female education, health care coverage, civil society, and political participation. The United States’ neoliberal economics and limited social security, market-based healthcare, limited public health regulation, weak social safety net, significant increases in income inequality and lower levels of political participation may have contributed to the country punching 2.9 years below weight. CONCLUSIONS: The review highlighted potential structural determinants driving differential performance in population health outcomes cross-nationally. These included greater equity, a more inclusive welfare system, high political participation, strong civil society and access to employment, housing, safe water, a clean environment, and education. We recommend research comparing more countries, and also to examine the processes driving within-country inequities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12939-020-01315-z. BioMed Central 2020-11-10 /pmc/articles/PMC7654592/ /pubmed/33168040 http://dx.doi.org/10.1186/s12939-020-01315-z Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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
Freeman, Toby
Gesesew, Hailay Abrha
Bambra, Clare
Giugliani, Elsa Regina Justo
Popay, Jennie
Sanders, David
Macinko, James
Musolino, Connie
Baum, Fran
Why do some countries do better or worse in life expectancy relative to income? An analysis of Brazil, Ethiopia, and the United States of America
title Why do some countries do better or worse in life expectancy relative to income? An analysis of Brazil, Ethiopia, and the United States of America
title_full Why do some countries do better or worse in life expectancy relative to income? An analysis of Brazil, Ethiopia, and the United States of America
title_fullStr Why do some countries do better or worse in life expectancy relative to income? An analysis of Brazil, Ethiopia, and the United States of America
title_full_unstemmed Why do some countries do better or worse in life expectancy relative to income? An analysis of Brazil, Ethiopia, and the United States of America
title_short Why do some countries do better or worse in life expectancy relative to income? An analysis of Brazil, Ethiopia, and the United States of America
title_sort why do some countries do better or worse in life expectancy relative to income? an analysis of brazil, ethiopia, and the united states of america
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7654592/
https://www.ncbi.nlm.nih.gov/pubmed/33168040
http://dx.doi.org/10.1186/s12939-020-01315-z
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