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  • 标题:Factors associated with preventable infant death: a multiple logistic regression
  • 本地全文:下载
  • 作者:Sandra Maria Cunha Vidal e Silva ; Rogério Antonio Tuon ; Livia Fernandes Probst
  • 期刊名称:Revista de Saúde Pública
  • 印刷版ISSN:0034-8910
  • 出版年度:2018
  • 卷号:52
  • DOI:10.11606/S1518-8787.2018052000252
  • 语种:English
  • 出版社:Universidade de São Paulo
  • 摘要:ABSTRACTOBJECTIVETo identify and analyze factors associated with preventable child deaths.METHODSThis 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.RESULTSApproximatelly 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.CONCLUSIONSThe 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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