English Longitudinal Study of Ageing: Renewal 2020

安德鲁·斯特普托2 R01AG017644-21A1 这项申请是为了竞争性地更新英国老龄化纵向研究(ELSA)的资金，以涵盖两波数据收集-第10波(2020/21)和第11波(2022/23)。ELSA始于2002年，是健康和退休调查(HRS)的姊妹研究，自开始以来一直由NIA提供部分资金，其余资金来自英国政府部门(它们已经同意为这些浪潮提供共同资金)。中心目标是提供一个具有全国代表性的人口研究平台，用于研究随着人们从工作转向退休和进入老年，心理、身体和认知健康与功能、经济地位、社会环境和福祉之间正在展开的动态关系。 这项申请的重点是当前与人口老龄化和公共政策相关的关键科学问题。这些问题包括：老年人寿命增长放缓的原因；健康老龄化过程中遗传、生物和心理社会因素之间的相互作用；痴呆症的患病率、决定因素以及经济和社会后果；退休和晚年劳动力市场活动对健康的影响；污染和其他环境暴露对健康和认知的影响；医疗保健中“社会处方”的价值；年龄歧视和虐待；老年人使用数字技术的障碍；以及中青年经历在老龄化中的作用。解决这些问题所需的新数据将与现有的WAVE联系起来，同时将在方法和与登记册数据的联系方面引入创新，以增加这项研究对世界各地研究人员的价值，同时降低成本和减轻参与者的负担。 新建议的具体目标是： 1.采用新的认知和痴呆症测量方法、工作模式、社会处方和社会关怀、数字技术的使用、家庭关系和虐待、心理健康、多发病、成人早期和中年经历，以及用于测量睡眠和体力活动的活动记录仪。 2.保持前几波中关于经济、社会参与、认知功能和痴呆症、健康、生物标记物、遗传学、社会关怀、主观幸福感和心理社会因素的核心内容。 3.测试和实施调查方法的创新，包括对一些内容采取在线优先的方式。 4.在每一次新浪潮的点心样本中都有过多的少数民族样本。 5.在第10波中采访了大约11,680名受访者，在11波中采访了10,770名受访者，从每波中50%的生物医学和物理性能数据中收集了数据。 6.在HCAP子研究的基础上，在全样本中建立与痴呆症和认知功能的交叉行走。 7.建立与初级卫生保健记录、污染数据和金融登记数据的联系。 8.构建11波可获得和记录良好的面板数据，增加可获得性，并与美国和其他地方的姊妹老龄化研究保持联系，以最大限度地在国际上使用ELSA数据。

Steptoe, Andrew 2 R01AG017644-21A1 This application is for competitive renewal of funding of the English Longitudinal Study of Ageing (ELSA) to cover two waves of data collection – wave 10 (2020/21) and wave 11 (2022/23). ELSA started in 2002 as a sister study to the Health and Retirement Survey (HRS), and has been part-funded by NIA since it began, with the remaining funding coming from UK Government Departments (which have already agreed co-funding for these waves). The central aim is to provide a nationally representative population research platform for studying the unfolding dynamic relationships between mental, physical and cognitive health and functioning, economic position, social circumstances and well-being, as people move from work to retirement and into older age. This application is focused on key current scientific issues relevant to population aging and public policy. These include the reasons behind the slowing in improvements in longevity at older ages; the interaction between genetic, biological, and psychosocial factors in healthy aging; the prevalence, determinants and economic and social consequences of dementia; the impact of retirement and later life labor market activity on health; the influence of pollution and other environmental exposures on health and cognition; the value of ‘social prescribing’ in health care; age discrimination and abuse; barriers to digital technology use among elders; and the role of early and mid-life experiences in aging. The new data needed to tackle these issues will be linked with existing waves, while innovations in methodology and linkage to registry data will be introduced to increase the value of the study for researchers worldwide while lowering costs and reducing participant burden. The specific objectives of the new proposal are: 1. Introduce new measures of cognition and dementia, working patterns, social prescribing and social care, the use of digital technologies, domestic relationships and abuse, mental health, multimorbidity, early adult and mid-life experience, and actigraphy for measuring sleep and physical activity. 2. Maintain core content from previous waves on economics, social participation, cognitive function and dementia, health, biomarkers, genetics, social care, subjective well-being, and psychosocial factors. 3. Test and implement innovations in survey methods, including an ‘online first’ approach for some content. 4. Oversample ethnic minorities in the refreshment samples at each new wave. 5. Interview approximately 11,680 respondents in waves 10 and 10,770 in 11, with biomedical and physical performance data collection from 50% in each wave. 6. Build on the HCAP substudy to establish cross-walk to dementia and cognitive function in the full sample. 7. Create linkage with primary health care records, pollution data, and financial registry data. 8. Construct 11 waves of accessible and well-documented panel data, increasing accessibility and liaising with sister aging studies in the USA and elsewhere to maximize the international use of ELSA data.