English Longitudinal Study of Ageing: Waves 0-9, 1998-2019

  <p>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:</p> <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> <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 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.</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 <a href="mailto:[e-mail]">[e-mail]</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).</p> <p>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.<br> <br> <em>Harmonized dataset:</em><br>Users of the Harmonized dataset who prefer to use the Stata version will need access to Stata MP software, as the version G3 file contains 11,779 variables (the limit for the standard Stata 'Intercooled' version is 2,047).</p> <p></p> <p><em>ELSA COVID-19 study</em>:<br> 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>.<br> <br> <em>Latest edition of ELSA</em>:<br> For the 39th edition (September 2023), the Harmonized ELSA data and documentation have been updated to version G3. This version incorporates the latest released edition of ELSA data, which includes eleven main modules and the associated datasets, and adds variables and observations from Wave 9. It also adds new variables and makes adjustments and corrections. Full details are provided in the Harmonized ELSA Documentation.</p><p class="x_MsoNormal"><span></span></p> <p class="x_MsoNormal"></p>

英国老龄化纵向研究（English Longitudinal Study of Ageing，以下简称ELSA）是一项针对老年人群体老龄化与生活质量的纵向调查，旨在探究人群在规划退休、迈入退休阶段直至退休后生活进程中，健康与功能状态、社会网络与社会参与、经济状况之间的动态关联。ELSA的核心目标包括：
- 构建可获取、文档规范的面板数据波次；
- 以便捷及时的途径向科研与政策研究共同体提供此类数据；
- 基于英格兰50岁及以上人群的代表性样本，刻画健康轨迹、失能状态与健康预期寿命；
- 剖析经济状况与健康之间的关联；
- 探究老年群体经济状况的决定因素；
- 刻画退休时机与退休后劳动力市场活动态势；
- 阐明社会支持、家庭结构与资产转移之间的内在关联。

更多信息可访问ELSA项目官网<https://www.elsa-project.ac.uk/>、财政研究所ELSA专题页<http://www.ifs.org.uk/elsa/>以及Natcen社会研究中心ELSA专题页<http://www.natcen.ac.uk/series/english-longitudinal-study-of-ageing>。

【基于ELSA的健康状况研究（2021年6月）】
ELSA数据团队发现部分历史健康状况测量数据存在问题。若您计划针对以下健康状况开展分析，请联系<[e-mail]>以获取分析方法相关建议。受影响的健康状况包括：眼部疾病（青光眼、糖尿病性眼部疾病、黄斑变性、白内障）；心血管疾病（高血压、心绞痛、心肌梗死、充血性心力衰竭、心脏杂音、心律失常、糖尿病、脑卒中、高胆固醇血症及其他心脏疾病）；慢性疾病（慢性肺部疾病、哮喘、关节炎、骨质疏松症、癌症、帕金森病、情绪/神经/精神疾病、阿尔茨海默病、痴呆、恶性血液病、多发性硬化症或运动神经元病）。

如需获取未由英国数据服务中心（UKDS）托管的ELSA数据，请参阅ELSA基因数据获取指南<https://www.elsa-project.ac.uk/genetic-data-access>与ELSA数据获取指南<https://www.elsa-project.ac.uk/accessing-elsa-data>页面。

统一化数据集（Harmonized dataset）：
使用该数据集且偏好Stata版本的用户，需配备Stata MP软件。因G3版本文件包含11779个变量，而标准Stata「Intercooled」版本的变量上限为2047个。

ELSA新冠疫情研究：
针对ELSA受访者开展的一项独立专项研究，旨在探究新冠疫情封锁措施对英格兰50岁及以上人群的社会经济影响与心理冲击，该研究编号为SN 8688，即《英国老龄化纵向研究新冠疫情研究》<https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=8688>。

ELSA最新版本：
第39版（2023年9月）的统一化ELSA数据与文档已更新至G3版本。该版本纳入了最新发布的ELSA核心数据（包含11个核心模块与关联数据集），新增了来自第9波次的变量与观测值，同时补充了新变量并进行了调整与修正。详细信息请参阅《ELSA统一化数据集文档》。