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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

Revista de saúde pública, 2018-01, Vol.52, p.32-32 [Periódico revisado por pares]

Brazil: Faculdade de Saúde Pública da Universidade de São Paulo

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  • Título:
    Factors associated with preventable infant death: a multiple logistic regression
  • Autor: 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
  • Assuntos: Artigo Original ; Cross-Sectional Studies ; Health Policy & Services ; Infant Mortality ; Infant, Newborn, Diseases, prevention & control ; Perinatal Care ; Prenatal Care ; Risk Factors ; Socioeconomic Factors
  • É parte de: Revista de saúde pública, 2018-01, Vol.52, p.32-32
  • Notas: ObjectType-Article-1
    SourceType-Scholarly Journals-1
    ObjectType-Feature-2
    content type line 23
    Conflict of Interest: The authors declare no conflict of interest.
    Authors' Contribution: Design and planning of the study: SMCVS, RAT. Collection, analysis, and interpretation of the data: KLC, GMBA. Preparation or review of the study: LFP, BVCG. Critical review of the study: ACP, MCM. Approval of the final version: SMCVS, RAT, KLC, GMBA, LFP, BVCG, ACP, MCM. All authors assume public responsibility for the content of the article.
  • Descrição: 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.
  • Editor: Brazil: Faculdade de Saúde Pública da Universidade de São Paulo
  • Idioma: Inglês;Português
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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