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Title:	English Longitudinal Study of Ageing: Waves 8-9, 2016-2019, Primary Data: Special Licence Access
Keywords:	ACTIVITIES OF DAILY LIVING CULTURAL GOODS MOBILE PHONES EMOTIONAL STATES ETHNIC GROUPS PLACE OF BIRTH QUALIFICATIONS QUALITY OF LIFE LIFE SATISFACTION HOUSING FINANCE SELF-ESTEEM LONELINESS MORTGAGES PUBLIC SERVICES CLINICAL TESTS AND MEASUREMENTS PSYCHOLOGICAL TESTS DECISION MAKING LOCUS OF CONTROL PERSONAL EFFICACY ANTHROPOMETRIC DATA WEIGHT (PHYSIOLOGY) VOTING BEHAVIOUR WEALTH BODY CIRCUMFERENCE MEASUREMENTS FINANCIAL RESOURCES HOUSE PRICES HOME BUYING UNFURNISHED ACCOMMODATION DOMESTIC APPLIANCES NEWSPAPER READERSHIP INTERNET USE CLUBS MEETINGS SPOUSES PERSONAL CONTACT FRIENDS HOLIDAYS COUNCIL TAX DEPRESSION LIVING ABROAD HOUSING CONDITIONS BEREAVEMENT LIFE HISTORIES LIFE EVENTS MARITAL HISTORY MEDICAL HISTORY ORGANIZATIONS HEALTH SERVICES PERSONAL IDENTITY SOCIAL INTEGRATION HOUSING TENURE LOANS CREDIT CARD USE FAMILIES RESPIRATORY TRACT DISEASES HEARING VASCULAR DISEASES ASTHMA MENTAL DISORDERS SENILE DEMENTIA MEMORY RENTED ACCOMMODATION LIFE STYLES GENDER AGE OLD AGE AGEING MOTHERS HEART DISEASES SIGHT EYE DISEASES DIABETES MEDICINAL DRUGS ARTHRITIS NERVOUS SYSTEM DISEASES INJURIES MUSCULOSKELETAL SYSTEM SURGERY COGNITIVE PROCESSES PAIN MOTOR PROCESSES SOCIAL SUPPORT HOME HELP WHEELCHAIRS MOBILITY AIDS DOMESTIC EQUIPMENT AIDS SMOKING PHYSICAL ACTIVITIES CARE OF DEPENDANTS CINEMA ATTENDANCE MOTOR VEHICLES PUBLIC TRANSPORT SELF-EMPLOYED VOLUNTARY WORK EMPLOYMENT HISTORY INDUSTRIES OCCUPATIONS SUPERVISORY STATUS JOB REQUIREMENTS WAGES EMPLOYEES HOURS OF WORK SOCIAL SECURITY CONTRIBUTIONS JOB HUNTING SICK PAY ACCOUNTS PARTNERSHIPS (BUSINESS) BUSINESSES BUSINESS OWNERSHIP HOUSEHOLDS HEALTH MARITAL STATUS CHILDREN GRANDCHILDREN SIBLINGS CANCER CARDIOVASCULAR DISEASES FATHERS FAMILY ENVIRONMENT FATHER'S OCCUPATION CHRONIC ILLNESS DEBILITATIVE ILLNESS WALKING RESTAURANTS PRIVATE PERSONAL PENSIONS STAKEHOLDER PENSIONS PENSION CONTRIBUTIONS EARLY RETIREMENT INCOME SHARES BONDS RENTS UNEARNED INCOME PAYMENTS HOUSING SOCIAL HOUSING HOUSING FOR THE ELDERLY HOUSING DESIGN INTERPERSONAL RELATIONS COMMUNITIES ELDERLY CARE OF THE ELDERLY RETIREMENT WALKING AIDS INCONTINENCE TOBACCO ALCOHOL USE SOCIAL PARTICIPATION MUSEUMS THEATRE ATTENDANCE CONCERT GOING EMPLOYMENT EDUCATIONAL COURSES INVESTMENT RETURN SAVINGS INTEREST (FINANCE) LIFE INSURANCE SHELTERED HOUSING COGNITION DISORDERS ATTITUDES ECONOMIC ACTIVITY STATE RETIREMENT PENSIONS SOCIAL SECURITY BENEFITS MEDICAL INSURANCE PRIVATE HEALTH SERVICES ASSETS FINANCIAL COMMITMENTS OCCUPATIONAL PENSIONS FURNISHED ACCOMMODATION RESIDENTIAL MOBILITY SOCIAL LIFE CENTRAL HEATING CONSUMER GOODS LANDLORDS PENSIONS EDUCATIONAL BACKGROUND HOBBIES MEMBERSHIP CAUSES OF DEATH VISION IMPAIRMENTS SLEEP DENTAL HEALTH MEDICAL EXAMINATIONS LUNG DISEASES PHYSICAL MOBILITY INFORMAL CARE SMOKING CESSATION MENSTRUATION MENOPAUSE HORMONE REPLACEMENT THERAPY PENSION BENEFITS REDUNDANCY PAY INHERITANCE PERSONAL FINANCE MANAGEMENT GIFTS DONATIONS TO CHARITY HOUSEHOLD BUDGETS COHABITING JOB SATISFACTION VEGETABLES FRUIT ALCOHOLIC DRINKS DRINKING BEHAVIOUR SEXUAL BEHAVIOUR SEXUAL DYSFUNCTION 2016-2019 England
Description:	<P>Abstract copyright UK Data Service and data collection copyright owner.</P><div><div>The <em>English Longitudinal Study of Ageing</em>&nbsp;(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> <p>Further information may be found on the <a title="ELSA project" href="https://www.elsa-project.ac.uk/">ELSA project</a> website, the <a href="http://www.elsa-project.ac.uk/">Institute for Fiscal Studies: ELSA</a> webpages; and the <a href="http://www.natcen.ac.uk/our-research/research/english-longitudinal-study-of-ageing/">NatCen Social Research: ELSA</a> webpages.<br><br></p> <p><strong>Health conditions research with ELSA - June 2021</strong></p> <p>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&nbsp;<a href="mailto:elsadata@natcen.ac.uk">elsadata@natcen.ac.uk</a>&nbsp;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).</p> <p><br><strong>Special Licence Data</strong>:</p> <p>Special Licence Access versions of ELSA have more restrictive access conditions than versions available under the standard End User Licence (see 'Access' section below).&nbsp;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.&nbsp;<br><br>Special Licence Access versions of ELSA include:</p> <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 1-8 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> <p>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:</p> <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> <p>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.</p></div> <p><strong>English Longitudinal Study of Ageing: Waves 8-9, 2016-2019, Primary Data: Special Licence Access</strong><br>The datasets contain all the variables in the End User Licence (EUL) primary datasets (SN 5050) as well as year and month of birth, consolidated ethnicity and country of birth, marital status, and more detailed medical history variables. These data are only available from Wave 8 onwards, and have more restrictive access conditions than those available under the standard EUL (see 'Access' section). Before considering applying for the Special Licence data, users should consult the EUL datasets first to see whether they are sufficient for their needs.</p><p> </p><p><strong>Latest edition information</strong><br>For the fourth edition (December 2020) the Waves 8 and 9 combined Nurse data were added to the study and the Nurse Data user guide updated accordingly.</p> <B>Main Topics</B>:<BR> The documentation includes detailed information about the additional variables included in the Primary Special Licence dataset. Appendix 1 also includes a summary table of all topics covered in Waves 0-9.<br>
URI:	https://t2-4.bsc.es/jspui/handle/123456789/61886
Other Identifiers:	10.5255/UKDA-SN-8346-4 8346 http://doi.org/10.5255/UKDA-SN-8346-4
Appears in Collections:	Cessda

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