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Related Experiment Videos

Morbidity and mortality: differentials and their trends.

J H Pollard

    European Journal of Population = Revue Europeenne De Demographie
    |September 1, 1990
    PubMed
    Summary

    This study introduces a model to assess quality of life alongside increased life expectancy. It quantifies the impact of disease prevention, treatment, and mortality reduction on longevity and health outcomes.

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    Area of Science:

    • Public Health
    • Biostatistics
    • Epidemiology

    Background:

    • Increased life expectancy necessitates evaluating quality of life.
    • Existing models may not adequately capture morbidity and mortality interactions.

    Purpose of the Study:

    • Develop a complex interactive model of morbidity and mortality.
    • Quantify the impact of diseases on life expectancy and health states.
    • Analyze factors influencing life expectancy differentials.

    Main Methods:

    • Derived mathematical formulae for health scientists.
    • Integrated age-specific disease contributions.
    • Modeled prevention, treatment, and mortality reduction effects.

    Main Results:

    Keywords:
    Age FactorsDelivery Of Health CareDemographic FactorsDiseasesEconomic FactorsEstimation TechnicsHealthHealth ServicesLength Of LifeLife ExpectancyMedicineModels, TheoreticalMorbidityMortalityPopulationPopulation CharacteristicsPopulation DynamicsPreventive MedicineQuality Of LifeResearch MethodologySocial WelfareWorld

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    • The model explains disease contributions to life expectancy changes.
    • It differentiates impacts on healthy versus less healthy states.
    • Formulae allow analysis of prevention, treatment, and mortality prevention contributions.

    Conclusions:

    • The developed model aids health policy by analyzing factors affecting life expectancy.
    • It provides a framework for understanding quality of life in extended lifespans.
    • Enables study of trends in life expectancy differentials based on health interventions.