English Longitudinal Study of Ageing

Mendeley Data2024-01-31 更新2024-06-28 收录

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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: <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>investigate 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 <a title="ELSA project" href="https://www.elsa-project.ac.uk/"> ELSA project</a> website, the <a title="English Longitudinal Study of Ageing" href="http://www.ifs.org.uk/elsa/"> Institute for Fiscal Studies: ELSA</a> and <a title="ELSA" href="http://www.natcen.ac.uk/series/english-longitudinal-study-of-ageing"> 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 <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). For information on obtaining data from ELSA that are not held at the UKDS, see the ELSA <a href="https://www.elsa-project.ac.uk/genetic-data-access" style="background-color: rgb(255, 255, 255);">Genetic data access</a> and <a href="https://www.elsa-project.ac.uk/accessing-elsa-data" style="background-color: rgb(255, 255, 255);">Accessing ELSA data</a> webpages. Harmonised dataset: The Harmonised dataset is originally compiled in Stata, and contains extra alphabetic missing value codes. An SPSS version is also deposited, but as SPSS does not accommodate alphabetic missing value codes in numeric variables, the codes have transferred as long numeric codes. While the missing values are fully labelled, users should be aware that only the Stata alphabetic codes are described in the documentation. Users who prefer to use the Stata version will need access to Stata SE/MP software, as the file contains over 2,047 variables (the limit for the standard Stata 'Intercooled' version). ELSA COVID-19 study: A separate ad-hoc study conducted with ELSA respondents, measuring the socio-economic effects/psychological impact of the lockdown on the aged 50+ population of England, is also available under SN 8688, <a title="English Longitudinal Study of Ageing COVID-19 Study" href="https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=8688"> English Longitudinal Study of Ageing COVID-19 Study</a>. Wave 1 was first released on 30 September 2020. Latest edition of ELSA: For the 38th edition (March 2023), <span style="font-size:11.0pt;font-family:"Calibri",sans-serif; mso-fareast-font-family:Calibri;mso-fareast-theme-font:minor-latin;mso-ansi-language: EN-GB;mso-fareast-language:EN-US;mso-bidi-language:AR-SA">the cross-wave pension identifier variable (penid) has been added to the Wave 9 Pension Grid data file.

创建时间：

2024-01-31

搜集汇总

数据集介绍

背景与挑战

背景概述

该数据集是英国老龄化纵向研究，覆盖1998-2024年共11波次数据，包含核心调查、养老金、健康等多维度信息，定期更新数据权重和文档版本。

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