Evidence map›Paper›PMID 33168040›Full record

ReviewInternational journal for equity in health2020

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.

Toby Freeman, Hailay Abrha Gesesew, Clare Bambra, Elsa Regina Justo Giugliani, Jennie Popay, David Sanders, James Macinko, Connie Musolino, Fran Baum

Abstract readReview
In one paragraph

Review in International journal for equity in health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Social Vulnerability and Disparities in All-Cause Mortality in the United States.Journal of racial and ethnic health disparities · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Toby FreemanSouthgate Institute for Health, Society, and Equity, Flinders University, Adelaide, Australia. toby.freeman@flinders.edu.au.ORCID 0000-0002-2787-8580
Hailay Abrha GesesewDepartment of Public Health, Flinders University, Adelaide, Australia.
Clare BambraInstitute of Population Health Sciences, Newcastle University, Newcastle, UK.
Elsa Regina Justo GiuglianiPediatrics Department, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Jennie PopayDivision of Health Research, Lancaster University, Lancashire, UK.
David SandersSchool of Public Health, University of the Western Cape, Cape Town, South Africa.
James MacinkoDepartments of Health Policy and Management and Community Health Sciences, UCLA, Los Angeles, CA, USA.
Connie MusolinoSouthgate Institute for Health, Society, and Equity, Flinders University, Adelaide, Australia.
Fran BaumSouthgate Institute for Health, Society, and Equity, Flinders University, Adelaide, Australia.

Funding

Medical Research Council MR/K02325X/1
6 · The paper itself

Abstract

backgroundWhile 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.

methodsWe 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.

resultsPossible 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.

conclusionsThe 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.

Indexed as

Health Status DisparitiesBrazilEthiopiaHumansIncomeLife ExpectancyUnited StatesCivil societyLife expectancyPolicyPopulation healthSocial determinants of health

Identifiers

PMID33168040
PMCPMC7654592

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.