English Longitudinal Study of Ageing: Waves 1-10, 2002-2023: Local Authority District Pre-2009 Boundaries: Secure Access

<div>The <span style="font-style: italic;">English Longitudinal Study of Ageing</span> (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><div><br></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>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><div><br></div><div>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.</div><div><br></div><div><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></div><div><span style="font-weight: bold;">Secure Access Data:</span></div><div>Secure Access versions of ELSA have more restrictive access conditions than versions available under the standard End User Licence or Special Licence (see 'Access' section below).</div><div><br></div><div>Secure Access versions of ELSA include:</div><ul><li>Primary Data from Wave 8 onwards (SN 8444) includes all the variables in the SL primary dataset (SN 8346) as well as day of birth, combined SIC 2003 code (5 digit), combined SOC 2000 code (4 digit), NS-SEC long version including and excluding unclassifiable and non-workers.</li><li>Pension Age Data from Wave 8 onwards (SN 8445) includes all the variables in the SL pension age data (SN 8375) as well as year reached pension age variable.</li><li>Detailed geographical identifier files for each wave, grouped by identifier held under SN 8423 (Index of Multiple Deprivation Score), SN 8424 (Local Authority District Pre-2009 Boundaries), SN 8438 (Local Authority District Post-2009 Boundaries), SN 8425 (Census 2001 Lower Layer Super Output Areas), SN 8434 (Census 2011 Lower Layer Super Output Areas), SN 8426(Census 2001 Middle Layer Super Output Areas), SN 8435 (Census 2011 Middle Layer Super Output Areas), SN 8427 (Population Density for Postcode Sectors), SN 8428 (Census 2001 Rural-Urban Indicators), SN 8436 (Census 2011 Rural-Urban Indicators).</li></ul><div><br></div><div>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:</div><div><br></div><ul><li>either SN 8424 (Local Authority District Pre-2009 Boundaries) or SN 8438 (Local Authority District Post-2009 Boundaries)</li><li>either SN 8425 (Census 2001 Lower Layer Super Output Areas) or SN 8434 (Census 2011 Lower Layer Super Output Areas)</li><li>either SN 8426 (Census 2001 Middle Layer Super Output Areas) or SN 8435 (Census 2011 Middle Layer Super Output Areas)</li><li>either SN 8428 (Census 2001 Rural-Urban Indicators) or SN 8436 (Census 2011 Rural-Urban Indicators)</li></ul>
<div><span style="font-weight: bold;">English Longitudinal Study of Ageing: Waves 1-10, 2002-2023: Local Authority District Pre-2009 Boundaries: Secure Access</span><br>
This dataset contains a pre-2009 boundary Local Authority District 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 or Special 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></div>

《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的老龄化与生活质量纵向调查，旨在探究人们在规划退休、迈入退休及退休后阶段中，健康与功能状态、社会网络与参与度、经济状况之间的动态关联。ELSA的核心目标包括：
- 构建可访问且文档完备的面板数据（panel data）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；
- 基于英国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；
- 检验经济状况与健康之间的关联；
- 探究老年阶段经济状况的决定因素；
- 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。

更多相关信息可查阅ELSA项目官网（https://www.elsa-project.ac.uk/）或国家社会研究中心（Natcen Social Research）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]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、恶性血液疾病、多发性硬化症或运动神经元病）。

#### 安全访问数据
ELSA的安全访问版本相较于标准最终用户许可协议（End User Licence）或特殊许可下的版本，访问限制更为严格（详见下文"访问"章节）。ELSA安全访问版本包含：
1. 第8波及之后的原始数据（研究编号SN 8444）：包含SL原始数据集（研究编号SN 8346）的全部变量，以及出生日期、合并后的2003年标准产业分类（Standard Industrial Classification 2003，简称SIC 2003，5位代码）、合并后的2000年标准职业分类（Standard Occupational Classification 2000，简称SOC 2000，4位代码）、含与不含未分类及非劳动者的国家统计社会经济分类（National Statistics Socio-economic Classification，简称NS-SEC）长版本数据；
2. 第8波及之后的养老金年龄数据（研究编号SN 8445）：包含SL养老金年龄数据集（研究编号SN 8375）的全部变量，以及达到养老金年龄的年份变量；
3. 各波次详细地理标识符文件，按标识符分组，相关研究编号包括：SN 8423（多重贫困指数得分，Index of Multiple Deprivation Score）、SN 8424（2009年前地方行政区边界）、SN 8438（2009年后地方行政区边界）、SN 8425（2001年人口普查下层超级输出区，Lower Layer Super Output Areas）、SN 8434（2011年人口普查下层超级输出区）、SN 8426（2001年人口普查中层超级输出区，Middle Layer Super Output Areas）、SN 8435（2011年人口普查中层超级输出区）、SN 8427（邮政扇区人口密度）、SN 8428（2001年人口普查城乡指标）、SN 8436（2011年人口普查城乡指标）。

由于行政区划边界发生变更，地理标识符被拆分为两个独立数据集以降低披露风险，且用户仅可使用每种标识符的其中一个版本：
- 仅可选择SN 8424（2009年前地方行政区边界）或SN 8438（2009年后地方行政区边界）；
- 仅可选择SN 8425（2001年人口普查下层超级输出区）或SN 8434（2011年人口普查下层超级输出区）；
- 仅可选择SN 8426（2001年人口普查中层超级输出区）或SN 8435（2011年人口普查中层超级输出区）；
- 仅可选择SN 8428（2001年人口普查城乡指标）或SN 8436（2011年人口普查城乡指标）。

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《英国老龄化纵向研究：2002-2023年第1-10波：2009年前地方行政区边界：安全访问版》
本数据集包含ELSA截至目前各波次的2009年前地方行政区边界变量，同时包含唯一个体序列编号变量，用于与主数据文件进行匹配。相较于标准最终用户许可协议或特殊许可下的可用数据，本数据集访问限制更为严格（详见"访问"章节）。

*最新版本信息*
2024年10月发布的第二版新增了第9、10波次数据，并更新了第1至8波次数据，同时新增了Excel版数据字典。