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

Detalhes bibliográficos
Autor(a) principal: Ichihara, Maria Yury
Data de Publicação: 2022
Outros Autores: Ferreira, Andrêa J.F., Teixeira, Camila S. S., Alves, Flávia Jôse O., Rocha, Aline Santos, Diógenes, Victor Hugo Dias, Ramos, Dandara Oliveira, Pinto Júnior, Elzo Pereira, Flores-Ortiz, Renzo, Rameh, Leila, Costa, Lilia Carolina C. da, Gonzaga, Marcos Roberto, Lima, Everton E. C., Dundas, Ruth, Leyland, Alastair, Barreto, Maurício L.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista de Saúde Pública
Texto Completo: https://www.revistas.usp.br/rsp/article/view/203489
Resumo: OBJECTIVE 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.
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spelling Mortality inequalities measured by socioeconomic indicators in Brazil: a scoping reviewMortality, trendsGeographic Locations, epidemiologySocioeconomic FactorsHealth Status DisparitiesReviewOBJECTIVE 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.Universidade de São Paulo. Faculdade de Saúde Pública2022-10-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/xmlhttps://www.revistas.usp.br/rsp/article/view/20348910.11606/s1518-8787.2022056004178Revista de Saúde Pública; Vol. 56 (2022); 85Revista de Saúde Pública; Vol. 56 (2022); 85Revista de Saúde Pública; v. 56 (2022); 851518-87870034-8910reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/rsp/article/view/203489/187458https://www.revistas.usp.br/rsp/article/view/203489/187457Copyright (c) 2022 Maria Yury Ichihara, Andrêa J.F. Ferreira, Camila S. S. Teixeira, Flávia Jôse O. Alves, Aline Santos Rocha, Victor Hugo Dias Diógenes, Dandara Oliveira Ramos, Elzo Pereira Pinto Júnior, Renzo Flores-Ortiz, Leila Rameh, Lilia Carolina C. da Costa, Marcos Roberto Gonzaga, Everton E. C. Lima, Ruth Dundas, Alastair Leyland, Maurício L. Barretohttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessIchihara, Maria YuryFerreira, Andrêa J.F.Teixeira, Camila S. S.Alves, Flávia Jôse O. Rocha, Aline SantosDiógenes, Victor Hugo DiasRamos, Dandara OliveiraPinto Júnior, Elzo PereiraFlores-Ortiz, Renzo Rameh, Leila Costa, Lilia Carolina C. daGonzaga, Marcos RobertoLima, Everton E. C.Dundas, RuthLeyland, AlastairBarreto, Maurício L. 2022-10-13T18:15:28Zoai:revistas.usp.br:article/203489Revistahttps://www.revistas.usp.br/rsp/indexONGhttps://www.revistas.usp.br/rsp/oairevsp@org.usp.br||revsp1@usp.br1518-87870034-8910opendoar:2022-10-13T18:15:28Revista de Saúde Pública - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Mortality inequalities measured by socioeconomic indicators in Brazil: a scoping review
title Mortality inequalities measured by socioeconomic indicators in Brazil: a scoping review
spellingShingle Mortality inequalities measured by socioeconomic indicators in Brazil: a scoping review
Ichihara, Maria Yury
Mortality, trends
Geographic Locations, epidemiology
Socioeconomic Factors
Health Status Disparities
Review
title_short Mortality inequalities measured by socioeconomic indicators in Brazil: a scoping review
title_full Mortality inequalities measured by socioeconomic indicators in Brazil: a scoping review
title_fullStr Mortality inequalities measured by socioeconomic indicators in Brazil: a scoping review
title_full_unstemmed Mortality inequalities measured by socioeconomic indicators in Brazil: a scoping review
title_sort Mortality inequalities measured by socioeconomic indicators in Brazil: a scoping review
author Ichihara, Maria Yury
author_facet Ichihara, Maria Yury
Ferreira, Andrêa J.F.
Teixeira, Camila S. S.
Alves, Flávia Jôse O.
Rocha, Aline Santos
Diógenes, Victor Hugo Dias
Ramos, Dandara Oliveira
Pinto Júnior, Elzo Pereira
Flores-Ortiz, Renzo
Rameh, Leila
Costa, Lilia Carolina C. da
Gonzaga, Marcos Roberto
Lima, Everton E. C.
Dundas, Ruth
Leyland, Alastair
Barreto, Maurício L.
author_role author
author2 Ferreira, Andrêa J.F.
Teixeira, Camila S. S.
Alves, Flávia Jôse O.
Rocha, Aline Santos
Diógenes, Victor Hugo Dias
Ramos, Dandara Oliveira
Pinto Júnior, Elzo Pereira
Flores-Ortiz, Renzo
Rameh, Leila
Costa, Lilia Carolina C. da
Gonzaga, Marcos Roberto
Lima, Everton E. C.
Dundas, Ruth
Leyland, Alastair
Barreto, Maurício L.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Ichihara, Maria Yury
Ferreira, Andrêa J.F.
Teixeira, Camila S. S.
Alves, Flávia Jôse O.
Rocha, Aline Santos
Diógenes, Victor Hugo Dias
Ramos, Dandara Oliveira
Pinto Júnior, Elzo Pereira
Flores-Ortiz, Renzo
Rameh, Leila
Costa, Lilia Carolina C. da
Gonzaga, Marcos Roberto
Lima, Everton E. C.
Dundas, Ruth
Leyland, Alastair
Barreto, Maurício L.
dc.subject.por.fl_str_mv Mortality, trends
Geographic Locations, epidemiology
Socioeconomic Factors
Health Status Disparities
Review
topic Mortality, trends
Geographic Locations, epidemiology
Socioeconomic Factors
Health Status Disparities
Review
description OBJECTIVE 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.
publishDate 2022
dc.date.none.fl_str_mv 2022-10-10
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dc.identifier.uri.fl_str_mv https://www.revistas.usp.br/rsp/article/view/203489
10.11606/s1518-8787.2022056004178
url https://www.revistas.usp.br/rsp/article/view/203489
identifier_str_mv 10.11606/s1518-8787.2022056004178
dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv https://www.revistas.usp.br/rsp/article/view/203489/187458
https://www.revistas.usp.br/rsp/article/view/203489/187457
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dc.publisher.none.fl_str_mv Universidade de São Paulo. Faculdade de Saúde Pública
publisher.none.fl_str_mv Universidade de São Paulo. Faculdade de Saúde Pública
dc.source.none.fl_str_mv Revista de Saúde Pública; Vol. 56 (2022); 85
Revista de Saúde Pública; Vol. 56 (2022); 85
Revista de Saúde Pública; v. 56 (2022); 85
1518-8787
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