Mortality inequalities measured by socioeconomic indicators in Brazil: a scoping review
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , , , , , , , |
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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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 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
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 |
language |
eng |
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 |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
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http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
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application/pdf text/xml |
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 0034-8910 reponame:Revista de Saúde Pública instname:Universidade de São Paulo (USP) instacron:USP |
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Universidade de São Paulo (USP) |
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USP |
institution |
USP |
reponame_str |
Revista de Saúde Pública |
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Revista de Saúde Pública |
repository.name.fl_str_mv |
Revista de Saúde Pública - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
revsp@org.usp.br||revsp1@usp.br |
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1800221803280334848 |