Factors associated with preventable infant death: a multiple logistic regression
Autor(a) principal: | |
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Data de Publicação: | 2018 |
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/145564 |
Resumo: | OBJECTIVE: To identify and analyze factors associated with preventable child deaths. METHODS: This analytical cross-sectional study had preventable child mortality as dependent variable. From a population of 34,284 live births, we have selected a systematic sample of 4,402 children who did not die compared to 272 children who died from preventable causes during the period studied. The independent variables were analyzed in four hierarchical blocks: sociodemographic factors, the characteristics of the mother, prenatal and delivery care, and health conditions of the patient and neonatal care. We performed a descriptive statistical analysis and estimated multiple hierarchical logistic regression models. RESULTS: Approximatelly 35.3% of the deaths could have been prevented with the early diagnosis and treatment of diseases during pregnancy and 26.8% of them could have been prevented with better care conditions for pregnant women. CONCLUSIONS: The following characteristics of the mother are determinant for the higher mortality of children before the first year of life: living in neighborhoods with an average family income lower than four minimum wages, being aged ≤ 19 years, having one or more alive children, having a child with low APGAR level at the fifth minute of life, and having a child with low birth weight. |
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Revista de Saúde Pública |
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Factors associated with preventable infant death: a multiple logistic regressionInfant Mortality. Risk Factors. Socioeconomic Factors. Perinatal Care. InfantNewbornDiseasesprevention & control. Prenatal Care. Cross-Sectional Studies.OBJECTIVE: To identify and analyze factors associated with preventable child deaths. METHODS: This analytical cross-sectional study had preventable child mortality as dependent variable. From a population of 34,284 live births, we have selected a systematic sample of 4,402 children who did not die compared to 272 children who died from preventable causes during the period studied. The independent variables were analyzed in four hierarchical blocks: sociodemographic factors, the characteristics of the mother, prenatal and delivery care, and health conditions of the patient and neonatal care. We performed a descriptive statistical analysis and estimated multiple hierarchical logistic regression models. RESULTS: Approximatelly 35.3% of the deaths could have been prevented with the early diagnosis and treatment of diseases during pregnancy and 26.8% of them could have been prevented with better care conditions for pregnant women. CONCLUSIONS: The following characteristics of the mother are determinant for the higher mortality of children before the first year of life: living in neighborhoods with an average family income lower than four minimum wages, being aged ≤ 19 years, having one or more alive children, having a child with low APGAR level at the fifth minute of life, and having a child with low birth weight.Universidade de São Paulo. Faculdade de Saúde Pública2018-04-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/xmlhttps://www.revistas.usp.br/rsp/article/view/14556410.11606/S1518-8787.2018052000252Revista de Saúde Pública; Vol. 52 (2018); 32Revista de Saúde Pública; Vol. 52 (2018); 32Revista de Saúde Pública; v. 52 (2018); 321518-87870034-8910reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/rsp/article/view/145564/139549https://www.revistas.usp.br/rsp/article/view/145564/148325Copyright (c) 2018 Revista de Saúde Públicainfo:eu-repo/semantics/openAccessSilva, Sandra Maria Cunha Vidal eTuon, Rogério AntonioProbst, Livia FernandesGondinho, Brunna Verna CastroPereira, Antonio CarlosMeneghim, Marcelo de CastroCortellazzi, Karine LauraAmbrosano, Glaucia Maria Bovi2018-07-20T11:44:51Zoai:revistas.usp.br:article/145564Revistahttps://www.revistas.usp.br/rsp/indexONGhttps://www.revistas.usp.br/rsp/oairevsp@org.usp.br||revsp1@usp.br1518-87870034-8910opendoar:2018-07-20T11:44:51Revista de Saúde Pública - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Factors associated with preventable infant death: a multiple logistic regression |
title |
Factors associated with preventable infant death: a multiple logistic regression |
spellingShingle |
Factors associated with preventable infant death: a multiple logistic regression Silva, Sandra Maria Cunha Vidal e Infant Mortality. Risk Factors. Socioeconomic Factors. Perinatal Care. Infant Newborn Diseases prevention & control. Prenatal Care. Cross-Sectional Studies. |
title_short |
Factors associated with preventable infant death: a multiple logistic regression |
title_full |
Factors associated with preventable infant death: a multiple logistic regression |
title_fullStr |
Factors associated with preventable infant death: a multiple logistic regression |
title_full_unstemmed |
Factors associated with preventable infant death: a multiple logistic regression |
title_sort |
Factors associated with preventable infant death: a multiple logistic regression |
author |
Silva, Sandra Maria Cunha Vidal e |
author_facet |
Silva, Sandra Maria Cunha Vidal e Tuon, Rogério Antonio Probst, Livia Fernandes Gondinho, Brunna Verna Castro Pereira, Antonio Carlos Meneghim, Marcelo de Castro Cortellazzi, Karine Laura Ambrosano, Glaucia Maria Bovi |
author_role |
author |
author2 |
Tuon, Rogério Antonio Probst, Livia Fernandes Gondinho, Brunna Verna Castro Pereira, Antonio Carlos Meneghim, Marcelo de Castro Cortellazzi, Karine Laura Ambrosano, Glaucia Maria Bovi |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Silva, Sandra Maria Cunha Vidal e Tuon, Rogério Antonio Probst, Livia Fernandes Gondinho, Brunna Verna Castro Pereira, Antonio Carlos Meneghim, Marcelo de Castro Cortellazzi, Karine Laura Ambrosano, Glaucia Maria Bovi |
dc.subject.por.fl_str_mv |
Infant Mortality. Risk Factors. Socioeconomic Factors. Perinatal Care. Infant Newborn Diseases prevention & control. Prenatal Care. Cross-Sectional Studies. |
topic |
Infant Mortality. Risk Factors. Socioeconomic Factors. Perinatal Care. Infant Newborn Diseases prevention & control. Prenatal Care. Cross-Sectional Studies. |
description |
OBJECTIVE: To identify and analyze factors associated with preventable child deaths. METHODS: This analytical cross-sectional study had preventable child mortality as dependent variable. From a population of 34,284 live births, we have selected a systematic sample of 4,402 children who did not die compared to 272 children who died from preventable causes during the period studied. The independent variables were analyzed in four hierarchical blocks: sociodemographic factors, the characteristics of the mother, prenatal and delivery care, and health conditions of the patient and neonatal care. We performed a descriptive statistical analysis and estimated multiple hierarchical logistic regression models. RESULTS: Approximatelly 35.3% of the deaths could have been prevented with the early diagnosis and treatment of diseases during pregnancy and 26.8% of them could have been prevented with better care conditions for pregnant women. CONCLUSIONS: The following characteristics of the mother are determinant for the higher mortality of children before the first year of life: living in neighborhoods with an average family income lower than four minimum wages, being aged ≤ 19 years, having one or more alive children, having a child with low APGAR level at the fifth minute of life, and having a child with low birth weight. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-04-24 |
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/145564 10.11606/S1518-8787.2018052000252 |
url |
https://www.revistas.usp.br/rsp/article/view/145564 |
identifier_str_mv |
10.11606/S1518-8787.2018052000252 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/rsp/article/view/145564/139549 https://www.revistas.usp.br/rsp/article/view/145564/148325 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2018 Revista de Saúde Pública info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2018 Revista de Saúde Pública |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/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. 52 (2018); 32 Revista de Saúde Pública; Vol. 52 (2018); 32 Revista de Saúde Pública; v. 52 (2018); 32 1518-8787 0034-8910 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_ |
1800221799774945280 |