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Factors associated with preventable infant death: a multiple logistic regression [Brazil]

Thursday, 3rd of May 2018 Print

https://www.ncbi.nlm.nih.gov/pubmed/29723389

 

 

Rev Saude Publica. 2018;52:32. doi: 10.11606/s1518-8787.2018052000252. Epub 2018 May 3.

Factors associated with preventable infant death: a multiple logistic regression [Brazil]

Vidal E Silva SMC1Tuon RA1Probst LF2Gondinho BVC2Pereira AC3Meneghim MC3Cortellazzi KL3Ambrosano GMB3.

Author information 

1

Programa Pacto pela Redução do Óbito Infantil, Secretaria Municipal de Saúde, Prefeitura Municipal de Piracicaba, Piracicaba, SP, Brasil.

2

Programa de Pós-Graduação em Odontologia, Área de Concentração Saúde Coletiva, Faculdade de Odontologia de Piracicaba, Universidade Estadual de Campinas, Piracicaba, SP, Brasil.

3

Departamento de Odontologia Social, Faculdade de Odontologia de Piracicaba, Universidade Estadual de Campinas, Piracicaba, SP, Brasil.

Abstract

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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