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The ONS Longitudinal Study--a prestigious past and a bright future
1Office for National Statistics.
Population Trends
|April 10, 2010
Summary
This study highlights the value of longitudinal studies for demographic research, integrating data from England, Scotland, and Northern Ireland to analyze UK-wide health and mortality differences. It showcases collaborative methods and resources for cross-study analysis.
Area of Science:
- Demography
- Epidemiology
- Sociology
Background:
- The Office for National Statistics (ONS) Longitudinal Study (LS) in England and Wales, established in 2009, links census data (1971-2001) with vital events since 1971.
- Sister studies, the Scottish Longitudinal Study (SLS) and Northern Ireland Longitudinal Study (NILS), have been established using 1991 and 2001 census data, respectively.
- This issue emphasizes the utility of longitudinal data for demographic research and presents collaborative UK-wide analyses.
Purpose of the Study:
- To demonstrate the value of the ONS Longitudinal Study (LS) and its sister studies (SLS, NILS) for demographic research.
- To explore methods for UK-wide longitudinal analysis of health and mortality differences across socio-economic and country-level factors.
- To showcase collaborative research efforts between UK-based institutions and statistical agencies.
Main Methods:
- Utilized two distinct analytical methods to examine socio-economic and country-level variations in health and mortality across the ONS LS, SLS, and NILS.
- Facilitated secure data transfer and handling through collaboration between ONS, GROS, and NISRA.
- Developed new resources to aid researchers in utilizing the combined data from the three longitudinal studies.
Main Results:
- The lead article summarizes the findings from the UK-wide analysis of health and mortality, reporting on the comparative strengths of the analytical methods employed.
- Other articles present research on partnership stability (cohabitation vs. marriage), children's transitions into workless households by ethnicity, and the impact of census definition changes on child data.
- The collaborative project successfully demonstrated the feasibility of integrated UK-wide longitudinal analysis.
Conclusions:
- Longitudinal studies are invaluable for comprehensive demographic research, enabling detailed analysis of health, mortality, and social trends across the UK.
- Cross-study collaboration and data integration enhance the scope and power of longitudinal research.
- The development of shared resources and methodologies facilitates future UK-wide research initiatives.
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