Summary information
Study title
English Longitudinal Study of Ageing: Waves 0-10, 1998-2023
Creator
Banks, J., Institute for Fiscal Studies
Batty, G. David, University College London
Breedvelt, J., NatCen Social Research
Coughlin, K., University College London
Crawford, R., Institute for Fiscal Studies (IFS)
Marmot, M., University College London, Department of Epidemiology and Public Health
Nazroo, J., University College London, Department of Epidemiology and Public Health
Oldfield, Z., Institute for Fiscal Studies (IFS)
Steel, N., University of East Anglia
Steptoe, A., University College London, Department of Epidemiology and Public Health
Wood, M., NatCen Social Research
Zaninotto, P., University College London
Study number / PID
5050 (UKDA)
10.5255/UKDA-SN-5050-31 (DOI)
Data access
Restricted
Series
Not available
Abstract
Abstract copyright UK Data Service and data collection copyright owner. The English Longitudinal Study of Ageing (ELSA) is a longitudinal survey of ageing and quality of life among older people that explores the dynamic relationships between health and functioning, social networks and participation, and economic position as people plan for, move into and progress beyond retirement. The main objectives of ELSA are to:
construct waves of accessible and well-documented panel data; provide these data in a convenient and timely fashion to the scientific and policy research community;
describe health trajectories, disability and healthy life expectancy in a representative sample of the English population aged 50 and over;
examine the relationship between economic position and health; investigate the determinants of economic position in older age; describe the timing of retirement and post-retirement labour market activity; and
understand the relationships between social support, household structure and the transfer of assets.
Further information may be found on the
ELSA project website, the or Natcen Social Research: ELSA web pages.
Health conditions research with ELSA - June 2021
The ELSA Data team have found some issues with historical data measuring health conditions. If you are intending to do any analysis looking at the following health conditions, then please contact
elsadata@natcen.ac.uk for advice on how you should approach your analysis. The affected conditions are: eye conditions (glaucoma; diabetic eye disease; macular degeneration; cataract), CVD conditions (high blood pressure; angina; heart attack; Congestive Heart Failure; heart murmur; abnormal heart rhythm; diabetes; stroke; high cholesterol; other heart trouble) and chronic health conditions (chronic lung disease; asthma; arthritis; osteoporosis; cancer; Parkinson's Disease; emotional, nervous or psychiatric problems; Alzheimer's Disease; dementia; malignant blood disorder; multiple...
Read moreTopics
Keywords
Methodology
Data collection period
01/01/1998 - 30/03/2023
Country
England
Time dimension
Not availableAnalysis unit
Individuals
National
Universe
The sample was drawn from households that had previously responded to the Health Survey for England (HSE) between 1998 and 2011. The sample has been refreshed at several subsequent waves so not all respondents have participated since 2002.
Sampling procedure
Multi-stage stratified random sample
Kind of data
Numeric
Data collection mode
Face-to-face interview
Physical measurements and tests
Self-administered questionnaire: Web-based (CAWI)
Clinical measurements
Compilation/Synthesis
Self-administered questionnaire
Access
Publisher
UK Data Service
Publication year
2005
Terms of data access
The Data Collection is available to UK Data Service registered users subject to the End User Licence Agreement.
Commercial use of the data requires approval from the data owner or their nominee. The UK Data Service will contact you.
Additional conditions of use apply:
Confidentiality
- I agree not to link nor attempt to link the ELSA Wave 0 data to the Health Survey for England (HSE) data
- I agree not to use the Wave 0 data in any way to identify participants from ELSA or HSE
- I agree not to use nor attempt to use ELSA data to identify specific geography from which the study sample was selected, nor to claim to have done so
Related publications
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- Suhag, A., Webb, T. L. and Holmes, J. (2024) 'Longitudinal clustering of health behaviours and their association with multimorbidity in older adults in England: a latent class analysis',. Plos one, 19(1), e0297422. doi:10.1371/journal.pone.0297422
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- Chatterjee, K., Clark, B., Nguyen, A., Wishart, R., Gallop, K., Smith, N. and Tipping, S. (2019) 'Access to transport and life opportunities', Project report for Department for Transport.
- Kyaw, K. (2020) 'Association of long-term care utilization and functional ability in older adults', European Journal of Public Health, 30, Issue Supplement 5, ckaa165.552, doi:10.1093/eurpub/ckaa165.552
- Kyaw, K. (2020) 'Association of diverse musical experiences and well-being', European Journal of Public Health, Volume 30, Issue Supplement_5, ckaa166.1164. doi:10.1093/eurpub/ckaa166.1164
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- Li C, Ma Y., Hua, R., Zheng, F. and Xie, W. (2021) 'Long-term physical activity participation and subsequent incident Type 2 Diabetes Mellitus: a population-based cohort study', Front. Endocrinol. 12:769.549. doi:10.3389/fendo.2021.769549
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