English Longitudinal Study of Ageing: Renewal 2020

英国老龄化纵向研究：更新 2020

• 批准号: 10847679
• 负责人: Andrew Steptoe
• 金额: $ 16.37万
• 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/10847679
• 关键词: Accelerometer; Achievement; Activities of Daily Living; Adult; Age; Aging; Agreement; 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 Style; Link; Longevity; Longitudinal Studies; Marketing; 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 Care; 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; Testing; Time; Training; 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 technology; disability; energy efficiency; ethnic disparity; ethnic minority; experience; fine particles; frailty; health care quality; healthy aging; human old age (65+); improved; innovation; journal article; longitudinal analysis; middle age; multidisciplinary; multiple chronic conditions; polygenic risk score; protective factors; psychologic; psychosocial; recruit; social; social disparities; social engagement; social factors; 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 此申请是为英国老龄化纵向研究（艾尔莎）的资金竞争性更新，以涵盖两波数据收集-第10波（2020/21）和第11波（2022/23）。艾尔莎于2002年作为健康和退休调查（HRS）的姐妹研究开始，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（已同意共同资助这些浪潮）。其中心目标是提供一个具有全国代表性的人口研究平台，以研究随着人们从工作走向退休和进入老年，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不断发展的动态关系。 该应用程序的重点是与人口老龄化和公共政策相关的当前关键科学问题。这些包括老年人寿命改善放缓背后的原因;健康老龄化中遗传，生物和心理社会因素之间的相互作用;痴呆症的患病率，决定因素和经济和社会后果;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。“社会处方”在医疗保健中的价值;年龄歧视和虐待;老年人使用数字技术的障碍;以及早期和中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波浪相关联，同时将引入方法学创新和与登记数据的关联，以增加研究对全球研究人员的价值，同时降低成本并减轻参与者的负担。 新提案的具体目标是： 1.引入认知和痴呆症的新措施，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，多重情感，早期成人和中年经验，以及用于测量睡眠和身体活动的活动记录。 2.保持以前关于经济学，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，包括针对某些内容的“在线优先”方法。 4.在每次新的浪潮中，在茶点样本中对少数民族进行过度抽样。 5.在第10波和第11波中分别采访了约11，680名受访者和10，770名受访者，每波中收集了50%的生物医学和物理性能数据。 6.在HCAP子研究的基础上，在全样本中建立痴呆和认知功能的交叉步行。 7.建立与初级卫生保健记录、污染数据和财务登记数据的联系。 8.构建11波可访问和有据可查的面板数据，增加可访问性，并与美国和其他地方的姐妹老龄化研究保持联系，以最大限度地利用艾尔莎数据的国际使用。

项目成果

Relationship of smoking with current and future social isolation and loneliness: 12-year follow-up of older adults in England.

• DOI: 10.1016/j.lanepe.2021.100302
• 发表时间: 2022-03
• 期刊: The Lancet regional health. Europe
• 作者: Philip KE;Bu F;Polkey MI;Brown J;Steptoe A;Hopkinson NS;Fancourt D
• 通讯作者: Fancourt D

Socio-economic trajectories and cardiovascular disease mortality in older people: the English Longitudinal Study of Ageing.

• DOI: 10.1093/ije/dyx106
• 发表时间: 2018-02-01
• 期刊: International journal of epidemiology
• 影响因子: 7.7
• 作者: Stringhini S;Zaninotto P;Kumari M;Kivimäki M;Lassale C;Batty GD
• 通讯作者: Batty GD

Genetic variant of Interleukin-18 gene is associated with the Frailty Index in the English Longitudinal Study of Ageing.

• DOI: 10.1093/ageing/afv122
• 发表时间: 2015-11
• 期刊: Age and ageing
• 影响因子: 6.7
• 作者: Mekli K;Marshall A;Nazroo J;Vanhoutte B;Pendleton N
• 通讯作者: Pendleton N

Associations of psychological wellbeing with COVID-19 hospitalization and mortality in adults aged 50 years or older from 25 European countries and Israel.

• DOI: 10.3389/fpubh.2023.1124915
• 发表时间: 2023
• 期刊: FRONTIERS IN PUBLIC HEALTH
• 影响因子: 5.2
• 作者: Wang, Wenjun;Wang, Jingjing;Shi, Juanjuan;Li, Yaping;Zhang, Xin;Wu, Fengping;Wang, Yikai;Li, Jia;Hao, Miao;Liu, Xiongtao;Zhai, Song;Wang, Yuan;Gao, Ning;Tian, Yan;Lu, Rui;Yeo, Yee Hui;Jia, Xiaoli;Ji, Fanpu;Dang, Shuangsuo
• 通讯作者: Dang, Shuangsuo

Social and Behavioural Determinants of the Difference in Survival among Older Adults in Japan and England

• DOI: 10.1159/000485797
• 发表时间: 2018-01-01
• 期刊: GERONTOLOGY
• 影响因子: 3.5
• 作者: Aida, Jun;Cable, Noriko;Watt, Richard G.
• 通讯作者: Watt, Richard G.