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Factors associated with preventable infant death: a multiple logistic regression.
Sandra Maria Cunha Vidal E Silva1, Rogério Antonio Tuon1, Livia Fernandes Probst2
1Programa Pacto pela Redução do Óbito Infantil, Secretaria Municipal de Saúde, Prefeitura Municipal de Piracicaba, Piracicaba, SP, Brasil.
Revista De Saude Publica
|May 4, 2018
Summary
Preventable child mortality is linked to maternal factors like low income and young maternal age. Improving prenatal care and early disease detection significantly reduces infant deaths.
Area of Science:
- Pediatrics
- Public Health
- Epidemiology
Background:
- Child mortality remains a significant global health challenge.
- Identifying preventable causes is crucial for effective intervention strategies.
Purpose of the Study:
- To identify and analyze factors associated with preventable child deaths.
- To understand the determinants of infant mortality.
Main Methods:
- Analytical cross-sectional study utilizing a systematic sample of 4,402 non-deceased children and 272 deceased children from 34,284 live births.
- Hierarchical logistic regression models analyzed sociodemographic factors, maternal characteristics, prenatal/delivery care, and neonatal care.
Main Results:
- Approximately 35.3% of deaths could be prevented by early diagnosis and treatment of maternal diseases during pregnancy.
- An additional 26.8% of deaths were preventable with improved prenatal care conditions.
Conclusions:
- Key maternal risk factors for infant mortality include low family income (<4 minimum wages), young maternal age (≤19 years), and multiparity.
- Low APGAR scores at 5 minutes and low birth weight are also significant determinants of mortality before one year of age.
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