English Longitudinal Study of Ageing: Waves 8-9, 2016-2019, Primary Data: Secure Access

DOI

Abstract copyright UK Data Service and data collection copyright owner.The English Longitudinal Study of Ageing (ELSA) study 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; andunderstand the relationships between social support, household structure and the transfer of assets.Further information may be found on the Institute for Fiscal Studies: ELSA and NatCen Social Research: ELSA webpages, along with the latest ELSA Training Resources.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 sclerosis or motor neurone disease).Secure Access Data:Secure Access versions of ELSA have more restrictive access conditions than versions available under the standard End User Licence or Special Licence (see 'Access' section below).Secure Access versions of ELSA include:Primary Data from Wave 8 onwards (SN 8444) includes all the variables in the SL primary dataset (SN 8346) as well as day of birth, combined SIC 2003 code (5 digit), combined SOC 2000 code (4 digit), NS-SEC long version including and excluding unclassifiable and non-workers.Pension Age Data from Wave 8 onwards (SN 8445) includes all the variables in the SL pension age data (SN 8375) as well as year reached pension age variable.Detailed geographical identifier files for each wave, grouped by identifier held under SN 8423 (Index of Multiple Deprivation Score), SN 8424 (Local Authority District Pre-2009 Boundaries), SN 8438 (Local Authority District Post-2009 Boundaries), SN 8425 (Census 2001 Lower Layer Super Output Areas), SN 8434 (Census 2011 Lower Layer Super Output Areas), SN 8426(Census 2001 Middle Layer Super Output Areas), SN 8435 (Census 2011 Middle Layer Super Output Areas), SN 8427 (Population Density for Postcode Sectors), SN 8428 (Census 2001 Rural-Urban Indicators), SN 8436 (Census 2011 Rural-Urban Indicators).Where boundary changes have occurred, the geographic identifier has been split into two separate studies to reduce the risk of disclosure. Users are also only allowed one version of each identifier:either SN 8424 (Local Authority District Pre-2009 Boundaries) or SN 8438 (Local Authority District Post-2009 Boundaries)either SN 8425 (Census 2001 Lower Layer Super Output Areas) or SN 8434 (Census 2011 Lower Layer Super Output Areas)either SN 8426 (Census 2001 Middle Layer Super Output Areas) or SN 8435 (Census 2011 Middle Layer Super Output Areas)either SN 8428 (Census 2001 Rural-Urban Indicators) or SN 8436 (Census 2011 Rural-Urban Indicators)

English Longitudinal Study of Ageing: Wave 9, 2018-2019, Primary Data: Secure Access This dataset contains all the variables in the SL primary dataset (SN 8346) as well as day of birth, combined SIC 2003 code (5 digit), combined SOC 2000 code (4 digit), NS-SEC long version including and excluding unclassifiable and non-workers. These data have more restrictive access conditions than those available under the standard End User Licence or Special Licence (see 'Access' section).Further information may be found on the Institute for Fiscal Studies: ELSA and the NatCen Social Research: ELSA webpages, and the ELSA project website.For the second edition (August 2020), primary data for Wave 9 and accompanying documentation were  added to the study.

Main Topics:

The ELSA Wave 8 and 9 documentation/interviewer questionnaire includes detailed information about the about the additional variables included in the Primary Secure Access dataset (see page 491 in both). Appendix 1 also includes a summary table of all topics covered in Waves 0-9.

Multi-stage stratified random sample

Physical measurements and tests

Clinical measurements

Face-to-face interview

Self-administered questionnaire

Identifier
DOI https://doi.org/10.5255/UKDA-SN-8444-2
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=0aea78188c25c58490b1d16d223fab1a8dc75e90ac2f9073446564aa827dd860
Provenance
Creator NatCen Social Research
Publisher UK Data Service
Publication Year 2019
Funding Reference Department for Work and Pensions; Department for Transport; Department for Communities and Local Government; Office for National Statistics; National Institute of Aging; HM Revenue and Customs; Department of Health
Rights Copyright held jointly between NatCen Social Research, University College London, University of Manchester and Institute for Fiscal Studies; <p>The Data Collection is available to users registered with the UK Data Service.</p><p>Commercial use is not permitted.</p><p>Use of the data requires approval from the data owner or their nominee. Registered users must apply for access via a Secure Access application.</p><p>Registered users must complete the Safe Researcher Training course.</p><p>Registered users must have a UK Higher Education or Further Education affiliation and must be based in the UK when accessing data.</p><p>The Data Collection must be accessed via a secure connection method in a safe environment approved by the UK Data Service.</p>
OpenAccess true
Representation
Resource Type Numeric
Discipline Design; Economics; Fine Arts, Music, Theatre and Media Studies; History; Humanities; Life Sciences; Medicine; Medicine and Health; Medieval History; Physiology; Social and Behavioural Sciences
Spatial Coverage England