English Longitudinal Study of Ageing: Renewal 2020

英国老龄化纵向研究：更新 2020

• 批准号: 10459510
• 负责人: Andrew Steptoe
• 金额: $ 212.3万
• 依托单位: UNIVERSITY COLLEGE LONDON
• 依托单位国家: 美国
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-09-11 至 2024-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10459510
• 关键词: Accelerometer; Achievement; Activities of Daily Living; Adult; Age; Aging; Area; Biological; Biological Factors; Biological Markers; Biology; Caring; Chronic; Cognition; Cognitive; Collaborations; Communication; Complement; Consumption; Country; Coupled; Data; Data Collection; Data Linkages; Dementia; Diagnosis; Drug Prescriptions; Economics; Educational workshop; Elder Abuse; Elderly; Electricity; England; Ensure; Environmental Exposure; Epidemiology; Equilibrium; Evolution; Funding; Gases; Genetic; Geriatrics; Government; Health; Health Care Costs; Health and Retirement Study; Healthcare; Hospitalization; Hospitals; Housing; Impaired cognition; Income; Individual; Infrastructure; Insurance; Intergenerational transfer; International; Interview; Lead; Life Experience; Life Style; Link; Longevity; Longitudinal Studies; Measures; Mental Health; Mentally Ill Persons; Methodology; Minority Men; Minority Women; Modernization; Nature; Neuropsychology; Participant; Pattern; Pensions; Personal Satisfaction; Persons; Phenotype; Physical Function; Physical Performance; Physical activity; Physiology; Policies; Policy Maker; Pollution; Population; Population Research; Positioning Attribute; Prevalence; Primary Health Care; Procedures; Psyche structure; Psychosocial Factor; Public Health; Public Policy; Publishing; Quality of life; Records; Research; Research Personnel; Respondent; Retirement; Risk Factors; Role; Sampling; Secure; Services; Sister; Sleep; Social Network; Social Sciences; Social Values; Structure; Survey Methodology; Surveys; System; Technology; Testing; Time; United States National Institutes of Health; Update; Visiting Nurse; Walking; Work; actigraphy; age discrimination; aging population; chronic pain; cognitive function; cognitive testing; cohort; cost; data registry; digital; disability; ethnic disparity; ethnic minority; fine particles; frailty; health care quality; healthy aging; innovation; journal article; longitudinal analysis; middle age; multidisciplinary; multiple chronic conditions; polygenic risk score; protective factors; psychologic; psychosocial; recruit; relationship abuse; social; social engagement; social factors; social inequality; spelling; statistics; trend; welfare

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.

Steptoe，Andrew 2 R01AG017644-21A1 该应用是用于竞争性的英语老化纵向研究（ELSA）资金的竞争性，以涵盖两个数据收集波 - 波浪10（2020/21）和Wave 11（2022/23）。 ELSA始于2002年，是对健康和退休调查（HRS）的姊妹研究，自NIA开始以来一直由NIA资助，其余的资金来自英国政府部门（这些部门已经同意为这些浪潮共同资助）。核心目的是提供一个全国代表性的人口研究平台，以研究人们从工作到退休到老年时代的精神，身体和认知健康与功能，经济地位，社会环境和福祉之间不断发展的动态关系。 该应用集中在与人口老化和公共政策相关的关键当前科学问题上。这些包括在老年时代改善寿命的改善背后的原因；健康衰老中的遗传，生物学和心理社会因素之间的相互作用；痴呆症的患病率，决定者以及经济和社会后果；退休和后来的生命劳动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； “社会处方”在医疗保健中的价值；年龄歧视和虐待；在衰老的早期和中年经验中使用数字技术的障碍。解决这些问题所需的新数据将与现有波浪联系起来，而方法和与注册表数据的联系将引入以增加全球研究人员的研究价值，同时降低成本并降低参与者伯恩。 新提案的具体目标是： 1。引入新的认知和痴呆，工作模式，社会处方和社会护理，数字技术的使用，家庭关系和虐待，心理健康，多种多样性，早期和中年生活经验以及衡量睡眠和体育活动的行为学。 2.维护以前关于经济学，社会参与，认知功能和痴呆症，健康，生物标志物，遗传学，社会护理，主观幸福感和社会心理因素的核心内容。 3.调查方法中的测试和实施创新，包括针对某些内容的“在线首次”方法。 4。在每个新浪潮中的清爽样本中过度采样少数民族。 5。访谈11中大约有11,680名受访者在11中和10,770名受访者，每个波浪中的50％的生物医学和身体绩效数据收集。 6。建立在HCAP的典型上，以在完整样本中建立与痴呆症和认知功能的交叉步行。 7。与初级卫生保健记录，污染数据和金融注册表数据建立联系。 8。构建11波的可访问且有据可查的面板数据，与美国和其他地方的姐妹老化研究增加了可访问性和联系，以最大程度地利用ELSA数据的国际使用。