Narrowing inequalities in infant mortality in Southern Brazil
Autor(a) principal: | |
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Data de Publicação: | 2002 |
Outros Autores: | , , , , , |
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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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 |
status_str |
publishedVersion |
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 |
_version_ |
1748936493248806912 |