Reducing socioeconomic inequalities in life expectancy among municipalities: the Brazilian experience.

Antonio Fernando Boing, S V Subramanian, Alexandra Crispim Boing

Abstract read

In one paragraph

Article in International journal of public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed

–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.

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

Quantifying and explaining variation in life expectancy at census tract, county, and state levels in the United States.Proceedings of the National Academy of Sciences of the United States of America · 2020
Article

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Antonio Fernando BoingDepartment of Social and Behavioral Sciences, Harvard T H Chan School of Public Health, Boston, USA. antonio.boing@ufsc.br.

S V SubramanianDepartment of Social and Behavioral Sciences, Harvard T H Chan School of Public Health, Boston, USA.

Alexandra Crispim BoingDepartment of Social and Behavioral Sciences, Harvard T H Chan School of Public Health, Boston, USA.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 205120/2018-0

6 · The paper itself

Abstract

objectivesThis study analyzed the evolution of regional and socioeconomic inequality in life expectancy (LE) at birth and the probability of living up to 40 (LU40) and up to 60 years of age (LU60) in Brazilian municipalities between 1991 and 2010.

methodsWe analyzed data from the last three national census (1991, 2000 and 2010) computed for the 5565 Brazilian municipalities. They were divided into centiles according to the average per capita income. Poisson regression was performed to calculate the ratios between the poorest and the richest centiles.

resultsThe average LE (+ 8.8 years), LU40 [6.7 percentage points (pp)] and LU60 increased (12.2 pp) between 1991 and 2010. The ratio of LE between the 1% of richest counties and the 1% of poorest counties decreased from 1.20 in 1991 to 1.09 in 2010. While in the poorest municipalities there was a gain of around 12 years of life, among the richest this increase was around 7 years.

conclusionsThere was a remarkable decrease in regional and socioeconomic inequality in LE, LU40 and LU60 in Brazil between 1991 and 2010.

Indexed as

AdultAgedAged, 80 and overBrazilCitiesFemaleForecastingHumansIncomeLife ExpectancyMaleMiddle AgedMortalityOdds RatioPovertySocioeconomic FactorsBrazilEpidemiologyLife expectancyMortalitySocioeconomic factors

Identifiers

PMID31065728

DOI10.1007/s00038-019-01244-x

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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.