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[On regional differences in infant mortality].

V Kannisto

    Sosiaalilaaketieteellinen Aikakauslehti
    |January 1, 1988
    PubMed
    Summary
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    [Geographical differences in the mortality of the elderly in Finland since the 1850s].

    Sosiaalilaaketieteellinen Aikakauslehti·1990
    See all related articles

    Infant mortality rates vary significantly between countries and over time. Social and economic factors alone cannot fully explain these differences, with cultural values also playing a role.

    Area of Science:

    • Demography
    • Public Health
    • Sociology

    Context:

    • Infant mortality rates exhibit significant regional disparities.
    • Comparative analysis of developed nations highlights varying determinants of infant mortality.
    • Socioeconomic and cultural factors influence infant survival rates differently across populations.

    Purpose:

    • To investigate regional variations in infant mortality.
    • To analyze the complex interplay of social, economic, and cultural factors on infant mortality.
    • To assess the limitations of universal models in explaining infant mortality trends.

    Summary:

    • Examines infant mortality differences between Finland and Portugal.
    • Concludes that a single model cannot universally explain infant mortality's dependence on social and economic variables.
    Keywords:
    BehaviorCultural BackgroundDemographic FactorsDeveloped CountriesDifferential MortalityEconomic FactorsEuropeFinlandGeographic FactorsInfant MortalityMortalityNorthern EuropePopulationPopulation CharacteristicsPopulation DynamicsPortugalPsychological FactorsReligionScandinaviaSocioeconomic FactorsSouthern EuropeValue Orientation

    Related Experiment Videos

  • Identifies a correlation between traditional values and higher infant mortality in Portugal.

    • Impact:

    • Highlights the need for context-specific approaches to reducing infant mortality.
    • Informs public health strategies by emphasizing the role of cultural factors.
    • Provides insights into the limitations of applying standardized models to diverse populations.