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Does it matter where I live?

G M Howe

    Transactions (Institute of British Geographers : 1965)
    |January 1, 1986
    PubMed
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    This study analyzes spatial variations in premature death across the UK, identifying high-risk areas for diseases like coronary artery disease and lung cancer. Findings highlight local health status disparities.

    Area of Science:

    • Public Health
    • Epidemiology
    • Health Geography

    Background:

    • Critiques traditional health field perspectives.
    • Proposes a new model encompassing environment, lifestyle, human biology, and healthcare.
    • Emphasizes the need for a holistic approach to health determinants.

    Purpose of the Study:

    • Analyze spatial variations in premature death from specific diseases in the UK.
    • Describe distributional patterns of mortality at various geographical scales.
    • Identify high-risk and low-risk areas as indicators of local health status.

    Main Methods:

    • Geographical analysis of premature death data.
    • Examination of spatial patterns at national, regional, district, and intra-urban levels.
    Keywords:
    BehaviorBiological CharacteristicsBiologyCancerCauses Of DeathDelivery Of Health CareDemographic FactorsDeveloped CountriesDifferential MortalityDiseasesEnvironmentEuropeGeographic FactorsGeographyHealthHealth ServicesHealth Status IndexesHeart DiseasesLength Of LifeLife ExpectancyLife StyleMortalityNeoplasmsNorthern EuropePopulationPopulation CharacteristicsPopulation DynamicsSex FactorsSocial SciencesUnited Kingdom

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  • Identification and listing of high-risk and low-risk communities for selected diseases.

    • Main Results:

    • Detailed spatial variations in premature death from coronary artery disease (males/females), lung-bronchus cancer (males), and female breast cancer.
    • Analysis of 'All Causes' mortality patterns for both sexes across the UK.
    • Identification of specific geographical areas with elevated or reduced risk for premature mortality.

    Conclusions:

    • Spatial variations in premature death reflect complex interactions of environmental, lifestyle, and healthcare factors.
    • Local health status can be effectively indicated by geographical patterns of premature mortality.
    • The study provides a foundation for targeted public health interventions based on geographical risk assessment.