Factors associated with preventable infant death: a multiple logistic regression
Rev. saúde pública (Online)
;
52: 32, 2018. tab
Article
in English
| LILACS
| ID: biblio-903491
ABSTRACT
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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Index:
LILACS (Americas)
Main subject:
Primary Prevention
/
Logistic Models
/
Child Mortality
/
Health Services
Type of study:
Etiology study
/
Observational study
/
Prevalence study
/
Prognostic study
/
Risk factors
/
Screening study
Limits:
Adolescent
/
Adult
/
Child
/
Child, preschool
/
Female
/
Humans
/
Infant
/
Infant, Newborn
/
Pregnancy
Country/Region as subject:
South America
/
Brazil
Language:
English
Journal:
Rev. saúde pública (Online)
Journal subject:
Sa£de P£blica
Year:
2018
Type:
Article
Affiliation country:
Brazil
Institution/Affiliation country:
Prefeitura Municipal de Piracicaba/BR
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