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Subnational variations in conceptions

R Wood

    Population Trends
    |January 1, 1996
    PubMed
    Summary
    This summary is machine-generated.

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    This study analyzes conception rates across England and Wales, revealing variations linked to area classifications and socioeconomic factors. It examines changes in age-specific conception rates between 1983 and 1993.

    Area of Science:

    • Reproductive Health
    • Demography
    • Public Health Statistics

    Background:

    • Conception statistics are crucial for understanding reproductive trends and informing public health policies.
    • Variations in conception rates exist geographically and are influenced by socioeconomic factors.
    • Previous analyses have highlighted the need for detailed spatial and temporal examination of conception rates.

    Purpose of the Study:

    • To investigate geographical variations in conception rates across England and Wales.
    • To compare age-specific conception rates across different area classifications.
    • To analyze trends in conception rates between 1983 and 1993 and their correlation with social and economic factors.

    Main Methods:

    • Utilizing conception statistics derived from live births, still births, and legal abortions.
    Keywords:
    Abortion RateAbortion, InducedBirth RateDemographic FactorsDeveloped CountriesEnglandEuropeFamily PlanningFertilityFertility Control, PostconceptionFertility MeasurementsFertility RateMultiregional AnalysisNorthern EuropePopulationPopulation DynamicsResearch MethodologyUnited KingdomWales

    Related Experiment Videos

  • Applying the 1991 Office for National Statistics (ONS) area classification of District Health Authorities (DHAs).
  • Performing comparative analyses of age-specific conception rates for 1993 and examining changes from 1983 to 1993.

    • Main Results:

    • Significant variations in conception rates were observed across different area classification groups in England and Wales.
    • Age-specific conception rates showed distinct patterns when compared between area types.
    • The study identified correlations between specific social and economic factors and observed conception rates.

    Conclusions:

    • Geographical variations in conception rates are significant and warrant targeted public health interventions.
    • Understanding the interplay of age, area classification, and socioeconomic status is vital for reproductive health planning.
    • Longitudinal analysis reveals important shifts in conception patterns over time, influenced by societal changes.