English Longitudinal Study of Ageing: Waves 0-10, 1998-2023

 
<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 href="https://www.elsa-project.ac.uk/">
ELSA project</a> website, the or <a href="https://natcen.ac.uk/participant-contents/elsa-50-health-and-life">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">Genetic data access</a> and <a href="https://www.elsa-project.ac.uk/accessing-elsa-data">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 href="https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=8688">English Longitudinal Study of Ageing COVID-19 Study</a>.<br>
<i><br>
ELSA Waves 9 and 10 data updated releases:<br>
</i>For the 41st edition (August 2024), Wave 10 EUL and pension grid datasets have been redeposited, with additional variables made available to researchers. The Core EUL dataset now also contains survey weights. The datasets replace the preliminary versions originally made available in January 2024. The Institute for Fiscal Studies (IFS) Derived Variable (DV) and Financial DV datasets from Wave 10 have also been deposited, with additional documentation and data dictionaries for each dataset, and the corresponding IFS files for Wave 9 revised.</p><p>For the 42nd edition (September 2024), the Wave 9 pension grid dataset has been updated to include additional derived variables relating to pension provider (demppen), pension type (ddbdc), and pension scheme membership status (dcurpen).  A corresponding data dictionary has been added.</p><p>For the 43rd edition (September 2024), the data files for Wave 9 and Wave 10 have been updated to include a variable previously omitted. The Wave 10 data dictionaries has been updated accordingly. The Wave 10 Technical Report has also been added, and the Interviewer Data User Guide has been updated to cover Waves 1-10. <br></p><p><span style="font-style: italic;">Wave 10 Health data <br></span>Users should note that in Wave 10, the health section of the ELSA questionnaire has been revised and all respondents were asked anew about their health conditions, rather than following the prior approach of asking those who had taken part in the past waves to confirm previously recorded conditions. Due to this reason, the health conditions feed-forward data will not be archived, as was done in previous waves. </p>
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英国老龄化纵向研究（English Longitudinal Study of Ageing, ELSA）是一项针对老年人群老龄化与生活质量的纵向调查，旨在探究人们在规划退休、步入退休及退休后阶段时，健康与功能状况、社会网络与参与度、经济地位之间的动态关联。ELSA的核心目标如下：
- 构建可获取且文档完备的多波次面板数据；
- 以便捷及时的方式向科研与政策研究社群提供此类数据；
- 在50岁及以上英国人群的代表性样本中，描述健康轨迹、失能状况与健康预期寿命；
- 探究经济地位与健康之间的关联；
- 调查老年时期经济地位的决定因素；
- 描述退休时机及退休后劳动力市场活动情况；
- 阐明社会支持、家庭结构与资产转移之间的关系。

更多信息可访问ELSA项目官网及Natcen社会研究中心的ELSA专题网页。

**基于ELSA的健康条件研究——2021年6月**

ELSA数据团队发现部分健康状况相关的历史数据存在问题。若您计划针对以下健康状况开展分析，请联系[e-mail]获取分析方法建议。受影响的健康状况包括：眼部疾病（青光眼、糖尿病性视网膜病变、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）。

若需获取未由英国数据服务中心（UK Data Service, UKDS）收录的ELSA数据，请参考ELSA基因数据获取及ELSA数据访问专题网页。
* 统一化数据集（Harmonized dataset）说明：使用Stata版本的统一化数据集用户需安装Stata MP软件，因为G3格式文件包含11779个变量（标准Stata Intercooled版本的变量上限为2047个）。

**ELSA新冠研究**：
另有一项针对ELSA受访者的专项临时研究，旨在评估封锁措施对英格兰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研究》，可通过对应链接访问。

**ELSA第9、10波数据更新版本**
1. 2024年8月第41版：已重新提交第10波的EUL数据集与养老金网格数据集，新增了可供研究人员使用的变量。核心EUL数据集现已包含调查权重。上述数据集替换了2024年1月首次发布的预览版本。此外，财政研究所（Institute for Fiscal Studies, IFS）生成的第10波衍生变量（DV）数据集与金融衍生变量数据集已提交，附带各数据集的补充文档与数据字典，并修订了对应第9波的IFS文件。
2. 2024年9月第42版：第9波养老金网格数据集已更新，新增了与养老金提供商（demppen）、养老金类型（ddbdc）及养老金计划参保状态（dcurpen）相关的衍生变量，并同步添加了对应的数据字典。
3. 2024年9月第43版：已更新第9、10波的数据文件，补充了此前遗漏的变量，并同步更新了第10波的数据字典。新增了第10波技术报告，修订了访调员数据用户指南，以覆盖第1至10波的内容。

* 第10波健康数据
用户需注意：第10波ELSA问卷的健康板块已完成修订，所有受访者均被重新询问其健康状况，而非沿用此前波次中仅邀请既往参与者确认已记录健康状况的流程。因此，本波次不再像此前波次那样归档健康状况前馈数据。

搜集汇总

背景与挑战

背景概述

该数据集是英国老龄化纵向研究（ELSA）的系列数据，覆盖1998年至2023年的多个波次（Waves 0-10），旨在追踪英国中老年人群的健康、经济和社会状况变化。数据集包含核心调查、养老金信息、财务衍生变量、护士评估、营养和加速计数据等多种模块，提供全面的老龄化研究资源。数据通过UK Data Service定期更新和维护，有严格的访问控制，适用于长期趋势分析和跨学科研究。