Evidence map›Paper›PMID 33589464›Full record

ArticleBMJ open2021

Uneven state distribution of homicides in Brazil and their effect on life expectancy, 2000-2015: a cross-sectional mortality study.

José Manuel Aburto, Julia Calazans, Bernardo Lanza Queiroz, Shammi Luhar, Vladimir Canudas-Romo

Abstract read
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Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

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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

5 authors.

José Manuel AburtoLeverhulme Centre for Demographic Science, Department of Sociology and Nuffield College, University of Oxford, Oxford, UK jose-manuel.aburto@sociology.ox.ac.uk.ORCID 0000-0002-2926-6879
Julia CalazansCEDEPLAR, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Bernardo Lanza QueirozCEDEPLAR, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID 0000-0002-2890-1025
Shammi LuharDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Vladimir Canudas-RomoSchool of Demography, Australian National University, Canberra, Australian Capital Territory, Australia.ORCID 0000-0001-6532-0089

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine cause-specific and age-specific contributions to life expectancy changes between 2000 and 2015, separately by state and sex in Brazil, with a focus on homicides.

designRetrospective cross-sectional demographic analysis of mortality. SETTING AND POPULATION: Brazilian population by age, sex and state from 2000 to 2015.

main outcome measureUsing mortality data from the Brazilian Mortality Information System and population estimates from the National Statistics Office, we used death distribution methods and the linear integral decomposition model to estimate levels and changes in life expectancy. We also examine how multiple causes of death, including those attributable to homicides and amenable/avoidable mortality, contributed to these changes from 2000 to 2015.

resultsBetween 2000 and 2015, life expectancy in Brazil increased from 71.5 to 75.1 years. Despite state-level variation in gains, life expectancy increased in almost all states over this period. However across Brazil, homicide mortality contributed, to varying degrees, to either attenuated or decreased male life expectancy gains. In Alagoas in 2000-2007 and Sergipe in 2007-2015, homicides contributed to a reduction in life expectancy of 1.5 years, offsetting gains achieved through improvements due to medically amenable causes. In the period 2007-2015, male life expectancy could have been improved by more than half a year in 12 of Brazil's states if homicide mortality had remained at the levels of 2007.

conclusionsHomicide mortality appears to offset life expectancy gains made through recent improvements to mortality amenable to medical services and public health interventions, with considerable subnational heterogeneity in the extent of this phenomenon. Efforts combating the causes of homicides can increase life expectancy beyond what has been achieved in recent decades.

Indexed as

HomicideLife ExpectancyBrazilCause of DeathCross-Sectional StudiesHumansMaleMortalityRetrospective Studiesdemographyhealth policypublic health

Identifiers

PMID33589464
PMCPMC7887357

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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.