Mortality inequalities measured by socioeconomic indicators in brazil: a scoping review

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dc.creatorMaria Yuryichihara
dc.creatorLeila Rameh
dc.creatorLilia Carolina c. da Costa
dc.creatorMarcos Roberto Gonzaga
dc.creatorEverton e. c. Lima
dc.creatorRuth Dundas
dc.creatorAlastair Leyland
dc.creatorMaurício l. Barreto
dc.creatorAndrêa J.f. Ferreira
dc.creatorCamila s. s. Teixeira
dc.creatorFlávia Jôse o. Alves
dc.creatorAline Santos Rocha
dc.creatorVictor Hugo Dias Diógenes
dc.creatorDandara Oliveira Ramos
dc.creatorElzo Pereira Pinto Júnior
dc.creatorRenzo Joel Flores Ortiz
dc.date.accessioned2024-01-25T21:32:07Z
dc.date.accessioned2025-09-09T01:27:58Z
dc.date.available2024-01-25T21:32:07Z
dc.date.issued2022
dc.format.mimetypepdf
dc.identifier.doi10.11606/s1518-8787.2022056004178
dc.identifier.issn15188787
dc.identifier.urihttps://hdl.handle.net/1843/63395
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofRevista De Saúde Pública
dc.rightsAcesso Aberto
dc.subjectMortality
dc.subjectGeographic Locations
dc.subjectEpidemiology
dc.subjectSocioeconomic Factors
dc.subjectHealth Status Disparities
dc.subjectReview
dc.subject.otherMortality,
dc.subject.otherGeographic Locations
dc.subject.otherEpidemiology
dc.subject.otherSocioeconomic Factors
dc.subject.otherHealth Status Disparities
dc.subject.otherReview
dc.titleMortality inequalities measured by socioeconomic indicators in brazil: a scoping review
dc.typeArtigo de periódico
local.citation.epage16
local.citation.issue85
local.citation.spage1
local.citation.volume56
local.description.resumoOBJECTIVE: Summarize the literature on the relationship between composite socioeconomic indicators and mortality in different geographical areas of Brazil.METHODS: This scoping review included articles published between January 1, 2000, and August 31, 2020, retrieved by means of a bibliographic search carried out in the Medline, Scopus, Web of Science, and Lilacs databases. Studies reporting on the association between composite socioeconomic indicators and all-cause, or specific cause of death in any age group in different geographical areas were selected. The review summarized the measures constructed, their associations with the outcomes, and potential study limitations.RESULTS: Of the 77 full texts that met the inclusion criteria, the study reviewed 24. The area level of composite socioeconomic indicators analyzed comprised municipalities (n = 6), districts (n = 5), census tracts (n = 4), state (n = 2), country (n = 2), and other areas (n = 5). Six studies used composite socioeconomic indicators such as the Human Development Index, Gross Domestic Product, and the Gini Index; the remaining 18 papers created their own socioeconomic measures based on sociodemographic and health indicators. Socioeconomic status was inversely associated with higher rates of all-cause mortality, external cause mortality, suicide, homicide, fetal and infant mortality, respiratory and circulatory diseases, stroke, infectious and parasitic diseases, malnutrition, gastroenteritis, and oropharyngeal cancer. Higher mortality rates due to colorectal cancer, leukemia, a general group of neoplasms, traffic accident, and suicide, in turn, were observed in less deprived areas and/or those with more significant socioeconomic development. Underreporting of death and differences in mortality coverage in Brazilian areas were cited as the main limitation.CONCLUSIONS: Studies analyzed mortality inequalities in different geographical areas by means of composite socioeconomic indicators, showing that the association directions vary according to the mortality outcome. But studies on all-cause mortality and at the census tract level remain scarce. The results may guide the development of new composite socioeconomic indicators for use in mortality inequality analysis.
local.publisher.countryBrasil
local.publisher.departmentENFERMAGEM - ESCOLA DE ENFERMAGEM
local.publisher.initialsUFMG
local.url.externahttps://doi.org/10.11606/s1518-8787.2022056004178

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