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Factors associated with preventable infant death: a multiple logistic regression
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 c...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Faculdade de Saúde Pública da Universidade de São Paulo
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5933942/ https://www.ncbi.nlm.nih.gov/pubmed/29723389 http://dx.doi.org/10.11606/S1518-8787.2018052000252 |
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author | Vidal e Silva, Sandra Maria Cunha 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_facet | Vidal e Silva, Sandra Maria Cunha 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_sort | Vidal e Silva, Sandra Maria Cunha |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-5933942 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Faculdade de Saúde Pública da Universidade de São Paulo |
record_format | MEDLINE/PubMed |
spelling | pubmed-59339422018-05-04 Factors associated with preventable infant death: a multiple logistic regression Vidal e Silva, Sandra Maria Cunha Tuon, Rogério Antonio Probst, Livia Fernandes Gondinho, Brunna Verna Castro Pereira, Antonio Carlos Meneghim, Marcelo de Castro Cortellazzi, Karine Laura Ambrosano, Glaucia Maria Bovi Rev Saude Publica Artigo Original 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. Faculdade de Saúde Pública da Universidade de São Paulo 2018-04-20 /pmc/articles/PMC5933942/ /pubmed/29723389 http://dx.doi.org/10.11606/S1518-8787.2018052000252 Text en https://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Artigo Original Vidal e Silva, Sandra Maria Cunha Tuon, Rogério Antonio Probst, Livia Fernandes Gondinho, Brunna Verna Castro Pereira, Antonio Carlos Meneghim, Marcelo de Castro Cortellazzi, Karine Laura Ambrosano, Glaucia Maria Bovi Factors associated with preventable infant death: a multiple logistic regression |
title | 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_short | Factors associated with preventable infant death: a multiple logistic regression |
title_sort | factors associated with preventable infant death: a multiple logistic regression |
topic | Artigo Original |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5933942/ https://www.ncbi.nlm.nih.gov/pubmed/29723389 http://dx.doi.org/10.11606/S1518-8787.2018052000252 |
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