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Variations in familial neonatal mortality risks in four countries

S L Curtis1, F Steele

  • 1Macro International, Calverton, Maryland, USA.

Journal of Biosocial Science
|April 1, 1996
PubMed
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Familial association in neonatal mortality risks is similar across Bolivia, Kenya, Peru, and Tanzania, suggesting a biological basis. Some variations in Peru may indicate other influencing factors.

Area of Science:

  • Demography
  • Public Health
  • Genetics

Background:

  • Neonatal mortality remains a significant global health challenge.
  • Understanding familial influences on neonatal mortality is crucial for targeted interventions.
  • Previous research has explored genetic and environmental factors contributing to infant mortality.

Purpose of the Study:

  • To investigate variations in the strength and structure of familial association in neonatal mortality risks.
  • To compare these associations across four diverse populations: Bolivia, Kenya, Peru, and Tanzania.
  • To explore potential biological and other factors influencing these familial associations.

Main Methods:

  • Exploratory analyses were conducted on the structure of familial association within each population.
Keywords:
AfricaAfrica South Of The SaharaAmericasBiological CharacteristicsBiologyBirth WeightBody WeightBoliviaChild SurvivalComparative StudiesDemographic FactorsDeveloping CountriesEastern AfricaEconomic FactorsEnglish Speaking AfricaFamily And HouseholdInfant MortalityKenyaLatin AmericaLength Of LifeLogistic ModelLow Birth WeightMathematical ModelModels, TheoreticalMortalityNeonatal MortalityPeruPhysiologyPopulationPopulation DynamicsResearch MethodologyResearch ReportRisk FactorsSocioeconomic FactorsSocioeconomic StatusSouth AmericaStudiesSurvivorshipTanzania

Related Experiment Videos

  • Random effects logistic regression models were employed to estimate the strength of familial association.
  • A standard set of control variables was utilized in the statistical models.

    • Main Results:

    • The strength of familial association in neonatal mortality risks was found to be notably similar across Bolivia, Kenya, Peru, and Tanzania.
    • This similarity supports a potential biological explanation for the observed familial association.
    • Specific differences in the form of the association were identified in Peru, suggesting a possible role for other factors.

    Conclusions:

    • The findings suggest a consistent familial influence on neonatal mortality across the studied populations, likely rooted in biological mechanisms.
    • While biological factors appear dominant, population-specific variations, as seen in Peru, highlight the potential interplay with other societal or environmental influences.
    • Further research is warranted to fully elucidate the complex interplay of factors contributing to neonatal mortality within diverse settings.