Narrowing inequalities in infant mortality in Southern Brazil

Detalhes bibliográficos
Autor(a) principal: Goldani,Marcelo Zubaran
Data de Publicação: 2002
Outros Autores: Benatti,Rosange, Silva,Antônio Augusto Moura da, Bettiol,Heloisa, Correa,Joel Cristiano Westphal, Tietzmann,Marcos, Barbieri,Marco Antonio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista de Saúde Pública
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102002000400014
Resumo: OBJECTIVE: To determine the trends of infant mortality from 1995 to 1999 according to a geographic area-based measure of maternal education in Porto Alegre, Brazil. METHODS: A registry-based study was carried out and a municipal database created in 1994 was used. All live births (n=119,170) and infant deaths (n=1,934) were considered. Five different geographic areas were defined according to quintiles of the percentage of low maternal educational level (<6 years of schooling): high, medium high, medium, medium low, and low. The chi-square test for trend was used to compare rates between years. Incidence rate ratio was calculated using Poisson regression to identify excess infant mortality in poorer areas compared to higher schooling areas. RESULTS: The infant mortality rate (IMR) decreased steadily from 18.38 deaths per 1,000 live births in 1995 to 12.21 in 1999 (chi-square for trend p<0.001). Both neonatal and post-neonatal mortality rates decreased although the drop seemed to be steeper for the post-neonatal component. The higher decline was seen in poorer areas. CONCLUSION: Inequalities in IMR seem to have decreased due to a steeper reduction in both neonatal and post-neonatal components of infant mortality in lower maternal schooling area.
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spelling Narrowing inequalities in infant mortality in Southern BrazilHealth inequalityInfant mortality/trendsMortality rateNeonatal mortality (public health)Women's schooling ratesOBJECTIVE: To determine the trends of infant mortality from 1995 to 1999 according to a geographic area-based measure of maternal education in Porto Alegre, Brazil. METHODS: A registry-based study was carried out and a municipal database created in 1994 was used. All live births (n=119,170) and infant deaths (n=1,934) were considered. Five different geographic areas were defined according to quintiles of the percentage of low maternal educational level (<6 years of schooling): high, medium high, medium, medium low, and low. The chi-square test for trend was used to compare rates between years. Incidence rate ratio was calculated using Poisson regression to identify excess infant mortality in poorer areas compared to higher schooling areas. RESULTS: The infant mortality rate (IMR) decreased steadily from 18.38 deaths per 1,000 live births in 1995 to 12.21 in 1999 (chi-square for trend p<0.001). Both neonatal and post-neonatal mortality rates decreased although the drop seemed to be steeper for the post-neonatal component. The higher decline was seen in poorer areas. CONCLUSION: Inequalities in IMR seem to have decreased due to a steeper reduction in both neonatal and post-neonatal components of infant mortality in lower maternal schooling area.Faculdade de Saúde Pública da Universidade de São Paulo2002-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102002000400014Revista de Saúde Pública v.36 n.4 2002reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USP10.1590/S0034-89102002000400014info:eu-repo/semantics/openAccessGoldani,Marcelo ZubaranBenatti,RosangeSilva,Antônio Augusto Moura daBettiol,HeloisaCorrea,Joel Cristiano WestphalTietzmann,MarcosBarbieri,Marco Antonioeng2002-09-30T00:00:00Zoai:scielo:S0034-89102002000400014Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=0034-8910&lng=pt&nrm=isoONGhttps://old.scielo.br/oai/scielo-oai.phprevsp@org.usp.br||revsp1@usp.br1518-87870034-8910opendoar:2002-09-30T00:00Revista de Saúde Pública - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Narrowing inequalities in infant mortality in Southern Brazil
title Narrowing inequalities in infant mortality in Southern Brazil
spellingShingle Narrowing inequalities in infant mortality in Southern Brazil
Goldani,Marcelo Zubaran
Health inequality
Infant mortality/trends
Mortality rate
Neonatal mortality (public health)
Women's schooling rates
title_short Narrowing inequalities in infant mortality in Southern Brazil
title_full Narrowing inequalities in infant mortality in Southern Brazil
title_fullStr Narrowing inequalities in infant mortality in Southern Brazil
title_full_unstemmed Narrowing inequalities in infant mortality in Southern Brazil
title_sort Narrowing inequalities in infant mortality in Southern Brazil
author Goldani,Marcelo Zubaran
author_facet Goldani,Marcelo Zubaran
Benatti,Rosange
Silva,Antônio Augusto Moura da
Bettiol,Heloisa
Correa,Joel Cristiano Westphal
Tietzmann,Marcos
Barbieri,Marco Antonio
author_role author
author2 Benatti,Rosange
Silva,Antônio Augusto Moura da
Bettiol,Heloisa
Correa,Joel Cristiano Westphal
Tietzmann,Marcos
Barbieri,Marco Antonio
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Goldani,Marcelo Zubaran
Benatti,Rosange
Silva,Antônio Augusto Moura da
Bettiol,Heloisa
Correa,Joel Cristiano Westphal
Tietzmann,Marcos
Barbieri,Marco Antonio
dc.subject.por.fl_str_mv Health inequality
Infant mortality/trends
Mortality rate
Neonatal mortality (public health)
Women's schooling rates
topic Health inequality
Infant mortality/trends
Mortality rate
Neonatal mortality (public health)
Women's schooling rates
description OBJECTIVE: To determine the trends of infant mortality from 1995 to 1999 according to a geographic area-based measure of maternal education in Porto Alegre, Brazil. METHODS: A registry-based study was carried out and a municipal database created in 1994 was used. All live births (n=119,170) and infant deaths (n=1,934) were considered. Five different geographic areas were defined according to quintiles of the percentage of low maternal educational level (<6 years of schooling): high, medium high, medium, medium low, and low. The chi-square test for trend was used to compare rates between years. Incidence rate ratio was calculated using Poisson regression to identify excess infant mortality in poorer areas compared to higher schooling areas. RESULTS: The infant mortality rate (IMR) decreased steadily from 18.38 deaths per 1,000 live births in 1995 to 12.21 in 1999 (chi-square for trend p<0.001). Both neonatal and post-neonatal mortality rates decreased although the drop seemed to be steeper for the post-neonatal component. The higher decline was seen in poorer areas. CONCLUSION: Inequalities in IMR seem to have decreased due to a steeper reduction in both neonatal and post-neonatal components of infant mortality in lower maternal schooling area.
publishDate 2002
dc.date.none.fl_str_mv 2002-08-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102002000400014
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102002000400014
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0034-89102002000400014
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Faculdade de Saúde Pública da Universidade de São Paulo
publisher.none.fl_str_mv Faculdade de Saúde Pública da Universidade de São Paulo
dc.source.none.fl_str_mv Revista de Saúde Pública v.36 n.4 2002
reponame:Revista de Saúde Pública
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Revista de Saúde Pública
collection 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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