English Longitudinal Study of Ageing: Waves 1-10, 2002-2023: Local Authority Type Pre-2009 Boundaries: Special Licence Access

<div>The <em>English Longitudinal Study of Ageing</em> (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 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.<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 <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><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). 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. <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 1-10 which are grouped by identifier held under SN 8430 (Local Authority Type Pre-2009 Boundaries), SN 8441 (Local Authority Type Post-2009 Boundaries), SN 8432 (Quintile Population Density for Postcode Sectors).</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 8430 (Local Authority Type Pre-2009 Boundaries) or SN 8441(Local Authority Type Post-2009 Boundaries)</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><span style="font-weight: bold;">English Longitudinal Study of Ageing: Waves 1-10, 2002-2023: Local Authority Type Pre-2009 Boundaries: Special Licence Access</span><br>This dataset contains a pre-2009 boundary Local Authority Type variable for each Wave of ELSA to date, and a unique individual serial number variable is also included for matching to the main data files. These data have more restrictive access conditions than those available under the standard End User Licence (see 'Access' section). <br><br><span style="font-style: italic;">Latest edition information</span><br>For the second edition (October 2024), data for waves 9 and 10 have been added to the study and data for waves 1 to 8 have been updated. An Excel Data Dictionary has also been added.<br><br></div>

**英国老龄化纵向研究（English Longitudinal Study of Ageing，ELSA）**是一项针对老年人群体老龄化与生活质量的纵向调查，旨在探究人们在规划退休、步入退休及退休后阶段中，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面板数据波次；
- 以便捷及时的方式向科研与政策研究社群提供此类数据；
- 基于英格兰50岁及以上人群的代表性样本，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；
- 调查老年群体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；
- 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（https://www.elsa-project.ac.uk/）或国家社会研究中心（NatCen Social Research）的ELSA专题网页（https://natcen.ac.uk/participant-contents/elsa-50-health-and-life）。

**基于ELSA的健康状况研究——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NatCen的ELSA数据团队（邮箱：[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/神经或精神疾病、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）。

**特殊许可数据**
ELSA的特殊许可访问版本相较于标准最终用户许可（详见下文"访问"章节）下的版本，有着更为严格的访问限制。建议用户在申请特殊许可数据前，先获取研究编号SN 5050的最新版本（即标准最终用户许可版本），确认其是否符合研究需求。每项特殊许可研究均需单独提交申请。
ELSA的特殊许可访问版本包含以下内容：
- 第8波次及以后的原始数据（SN 8346）：包含标准最终用户许可原始数据集（SN 5050）中的全部变量，同时补充了出生年月、合并后的种族与出生国家、婚姻状况，以及更详细的病史变量；
- 第8波次养老金年龄数据（SN 8375）：包含标准最终用户许可养老金年龄数据（SN 5050）中的全部变量，同时补充了达到国家养老金年龄的年份与年龄变量；
- 第8波次性问题自填问卷数据（SN 8376）：包含性问题自填问卷中的敏感变量；
- 第3波次（2007年）标准化统一生命史数据（SN 8831）：包含既往经历的回顾性信息，具体涵盖既往伴侣关系、子女情况、居住状况、健康状况及工作经历的详细数据；
- 第1至10波次的详细地理标识文件，按标识分组如下：SN 8429（2009年前边界地方行政区）、SN 8439（2009年后边界地方行政区）、SN 8430（2009年前边界地方行政区类型）、SN 8441（2009年后边界地方行政区类型）、SN 8431（多重贫困指数五分位数得分）、SN 8432（邮编区域人口密度五分位数）、SN 8433（2001年人口普查城乡标识）、SN 8437（2011年人口普查城乡标识）。

由于边界调整，地理标识被拆分为两个独立的数据集以降低数据披露风险，且用户仅可选择每种标识的其中一个版本：
- SN 8429（2009年前边界地方行政区）或SN 8439（2009年后边界地方行政区）；
- SN 8430（2009年前边界地方行政区类型）或SN 8441（2009年后边界地方行政区类型）；
- SN 8433（2001年人口普查城乡标识）或SN 8437（2011年人口普查城乡标识）。

ELSA第6波次与第8波次的自填问卷包含一道开放式问题，受访者可在此写下任何其他想要补充的意见。此类回复已完成转录与匿名化处理。研究人员若因研究需求申请获取这些转录回复，可联系NatCen的ELSA数据团队。

**英国老龄化纵向研究：2002-2023年第1至10波次：2009年前边界地方行政区类型：特殊许可访问**
本数据集包含截至目前ELSA各波次的2009年前边界地方行政区类型变量，同时包含唯一的个体序列编号变量，用于与主数据集文件进行匹配。相较于标准最终用户许可下的数据集（详见"访问"章节），此类数据有着更为严格的访问限制。

*最新版本信息*
在2024年10月发布的第二版中，本研究新增了第9与第10波次的数据，并更新了第1至8波次的数据，同时新增了Excel格式的数据字典。