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DDI2.5 XML CODEBOOK RECORD FOR STUDY NUMBER 8918 English Longitudinal Study of Ageing COVID-19 Study, Waves 1-2, 2020: Special Licence Access 891810.5255/UKDA-SN-8918-1 Zaninotto, P., University College London Pacchiotti, B., National Centre for Social Research Oldfield, Z., Institute for Fiscal Studies (IFS) Marmot, M., University College London, Department of Epidemiology and Public Health Crawford, R., Institute for Fiscal Studies (IFS) Batty, G. David, University College London Steptoe, A., University College London, Department of Epidemiology and Public Health Banks, J., Institute for Fiscal Studies Addario, G., National Centre for Social Research Steel, N., University of East Anglia Wood, M., NatCen Social Research Nazroo, J., University College London, Department of Epidemiology and Public Health Coughlin, K., University College London Dangerfield, P., National Centre for Social Research Copyright held jointly between NatCen Social Research, University College London and Institute for Fiscal Studies National Institute of AgingNational Institute for Health ResearchEconomic and Social Research Council UK Data Service 18 February 2022 COVID-19SURVEYS Specific diseases, disorders and medical conditionsSocial stratification and groupingsElderly Abstract copyright UK Data Service and data collection copyright owner.<div><div>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:</div> <ul> <li>construct waves of accessible and well-documented panel data;</li> <li>provide these data in a convenient and timely fashion to the scientific and policy research community;</li> <li>describe health trajectories, disability and healthy life expectancy in a representative sample of the English population aged 50 and over;</li> <li>examine the relationship between economic position and health;</li> <li>nvestigate the determinants of economic position in older age;</li> <li>describe the timing of retirement and post-retirement labour market activity; and</li> <li>understand the relationships between social support, household structure and the transfer of assets.</li> </ul> Further information may be found on the the <a href="https://www.elsa-project.ac.uk/" style="background-color: rgb(255, 255, 255);">ELSA project</a> website or the <a href="https://natcen.ac.uk/participant-contents/elsa-50-health-and-life" style="background-color: rgb(255, 255, 255);">Natcen Social Research: ELSA</a> 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 the ELSA Data team at NatCen on <a href="mailto:elsadata@natcen.ac.uk">elsadata@natcen.ac.uk</a> 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). Special Licence Data: Special Licence Access versions of ELSA have more restrictive access conditions than versions available under the standard End User Licence (see 'Access' section below). Users are advised to obtain the latest edition of SN 5050 (the End User Licence version) before making an application for Special Licence data, to see whether that is suitable for their needs. A separate application must be made for each Special Licence study.  Special Licence Access versions of ELSA include: <ul> <li>Primary data from Wave 8 onwards (SN 8346) includes all the variables in the EUL primary dataset (SN 5050) as well as year and month of birth, consolidated ethnicity and country of birth, marital status, and more detailed medical history variables.</li> <li>Wave 8 Pension Age Data (SN 8375) includes all the variables in the EUL pension age data (SN 5050) as well as year and age reached state pension age variables.</li> <li>Wave 8 Sexual Self-Completion Data (SN 8376) includes sensitive variables from the sexual self-completion questionnaire.</li> <li>Wave 3 (2007) Harmonized Life History (SN 8831) includes retrospective information on previous histories, specifically, detailed data on previous partnership, children, residential, health, and work histories.</li> <li>Detailed geographical identifier files for Waves 1-10 which are grouped by identifier held under SN 8429 (Local Authority District Pre-2009 Boundaries), SN 8439 (Local Authority District Post-2009 Boundaries), SN 8430 (Local Authority Type Pre-2009 Boundaries), SN 8441 (Local Authority Type Post-2009 Boundaries), SN 8431 (Quintile Index of Multiple Deprivation Score), SN 8432 (Quintile Population Density for Postcode Sectors), SN 8433 (Census 2001 Rural-Urban Indicators), SN 8437 (Census 2011 Rural-Urban Indicators).</li> </ul> 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: <ul> <li>either SN 8429 (Local Authority District Pre-2009 Boundaries) or SN 8439 (Local Authority District Post-2009 Boundaries)</li> <li>either SN 8430 (Local Authority Type Pre-2009 Boundaries) or SN 8441(Local Authority Type Post-2009 Boundaries)</li> <li>either SN 8433 (Census 2001 Rural-Urban Indicators) or SN 8437 (Census 2011 Rural-Urban Indicators)</li> </ul> ELSA Wave 6 and Wave 8 Self-Completion Questionnaires included an open-ended question where respondents could add any other comments they may wish to note down. These responses have been transcribed and anonymised. Researchers can request access to these transcribed responses for research purposes by contacting the ELSA Data Team at NatCen.</div>The English Longitudinal Study of Ageing (ELSA) Covid-19 study can be seen as a follow-up study based on the sample of the regular ELSA study (held under SN 5050). ELSA was launched in 2002 with the primary objective of exploring ageing in England through the operationalisation of a longitudinal design, where repeated measures are taken over time from the same sample of study participants, composed of people aged 50 or above. After the beginning of the Coronavirus Disease 2019 (COVID-19) outbreak at the end of 2019, its classification as global pandemic by the World Health Organisation in March 2020 and the gradual escalation of protective measures in the UK, culminating with the enforcement of a nation-wide lockdown in late March, the ELSA research team identified the need to carry out a new ad-hoc study that measures the socio-economic effects/psychological impact of the lockdown on the aged 50+ population of England.Acknowledgment statement: The ELSA COVID-19 Substudy was funded through the Economic and Social Research Council via the UK Research and Innovation Covid-19 Rapid Response call. Funding has also been received from the National Institute of Aging in the US, and a consortium of UK government departments coordinated by the National Institute for Health Research.Further information can be found on the <a title="ELSA COVID-19 Study" href="http://www.elsa-project.ac.uk/covid-19" style="background-color: rgb(255, 255, 255);">ELSA COVID-19 Study</a> webpage.ELSA COVID-19 study: End User Licence and Special Licence data The main data and documentation for the ELSA COVID-19 study are available under SN 8688, subject to standard End User Licence conditions. This study (SN 8918) contains only interview week variables, which are subject to stringent Special Licence conditions. Users should obtain SN 8688 and check whether it is suitable for their needs before considering an application for this study (SN 8918). Main Topics: <ul class="x_list-unstyled"> </ul>Interview week variables for the ELSA COVID-19 study (the main End User Licence study is held under SN 8688). June 2020 - December 202003 June 202020 December 2020 England IndividualsNational The main ELSA 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 ELSA waves, so not all respondents have participated since 2002. Numeric Longitudinal/panel/cohort Multi-stage stratified random sample Self-administered questionnaire: Web-based (CAWI)Telephone interview: Computer-assisted (CATI) The Data Collection is available to UK Data Service registered users subject to the <a href="https://ukdataservice.ac.uk/app/uploads/cd137-enduserlicence.pdf" target="_blank">End User Licence Agreement</a>.Commercial use is not permitted.Use of the data requires approval from the data owner or their nominee. Users must apply for access via a Special Licence application.Data storage and access are limited to the UK and countries that the UK deemed to have an adequate level of data protection as follows: European Economic Area countries, Andorra, Argentina, Faroe Islands, Gibraltar, Guernsey, Israel, Isle of Man, Jersey, New Zealand, Republic of Korea, Switzerland and Uruguay. See <restrctn> https://www.elsa-project.ac.uk/ https://natcen.ac.uk/participant-contents/elsa-50-health-and-life https://www.elsa-project.ac.uk/training-resources https://oai.ukdataservice.ac.uk:8443/oai/provider 8918 2024-11-29T07:25:11Z ddi:codebook:2_5