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Longitudinal studies based on vital registration records.

A J Fox1

  • 1Social Statistics Research Unit, City University, London, U.K.

Revue D'Epidemiologie Et De Sante Publique
|January 1, 1989
PubMed
Summary

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Routine vital event and census records increasingly build national longitudinal studies. Researchers examine employment

Area of Science:

  • Demography
  • Epidemiology
  • Public Health Research

Background:

  • Growing reliance on routine data sources for population health research.
  • Need for robust methodologies in longitudinal study construction.
  • Vital event and census records offer extensive population coverage.

Purpose of the Study:

  • To detail the expanding application of vital event and census data for longitudinal studies.
  • To critically evaluate the advantages and limitations of using these data sources.
  • To illustrate the utility of such studies in examining mortality determinants.

Main Methods:

  • Utilizing national vital event registrations (births, deaths).
  • Leveraging comprehensive national census data.
  • Constructing longitudinal cohorts through record linkage.
Keywords:
AmericasCensusData CollectionData LinkageDemographic FactorsDenmarkDeveloped CountriesEconomic FactorsEmploymentEnglandEuropeFinlandFollow-up StudiesFranceHuman ResourcesLongitudinal StudiesMacroeconomic FactorsMediterranean CountriesMethodological StudiesMortalityNorth AmericaNorthern AmericaNorthern EuropeNorwayOccupationsPopulationPopulation DynamicsPopulation StatisticsResearch MethodologyScandinaviaSocioeconomic FactorsStudiesUnemploymentUnited KingdomUnited StatesVital StatisticsWalesWestern Europe

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Main Results:

  • Demonstrated feasibility of creating large-scale national follow-up studies.
  • Identified key strengths: cost-effectiveness, broad scope.
  • Highlighted weaknesses: potential data quality issues, privacy concerns.

Conclusions:

  • Routine vital event and census records are valuable for national longitudinal research.
  • These data facilitate research on employment-mortality links and socioeconomic disparities.
  • Methodological considerations are crucial for maximizing the utility of these data sources.