NIMLAS Admin Supplement

NIMLAS 管理补充

• 批准号: 10754344
• 负责人: Sung-Hee Lee
• 金额: $ 8.53万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-01 至 2027-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10754344
• 关键词: Acceleration; Address; Aging; Area; Asian Americans; Biological Markers; COVID-19 pandemic; Communication; Communities; Complement; Consent; Consult; Country; Data; Data Collection; Development; Devices; Disparity; Education; Educational Intervention; Elderly; Electronics; English Language; Enrollment; Environment; Ethnic Origin; Ethnic Population; Facebook; Family; Feedback; Foundations; Funding; Future; Gender; Goals; Grant; Group Meetings; Health; Health Disparities Research; Health and Retirement Study; Hispanic Americans; Home; Influentials; Institution; International; Intervention; Interview; Investigation; Investments; Knowledge; Language; Latino; Latino Population; Learning; Learning Module; Length; Life Cycle Stages; Linguistics; Literature; Longitudinal Studies; Measurement; Measures; Mentors; Methodology; Methods; Minority; Minority Groups; Minority Health Research; Modernization; Newsletter; Online Systems; Outcome; Participant; Patient Self-Report; Play; Population; Population Study; Positioning Attribute; Process; Race; Records; Religious Belief; Research; Research Design; Research Methodology; Research Personnel; Research Project Grants; Resources; Retirement; Review Literature; Role; Sampling; Series; Shapes; Social Interaction; Source; Subgroup; Surveys; Target Populations; Technology; Testing; Time; Training Programs; Translating; Treatment Efficacy; Trust; Underrepresented Minority; Underrepresented Populations; Underserved Population; Work; aging population; cognitive interview; community partnership; data collection methodology; distrust; eHealth; effective intervention; electronic health information; ethnic minority; evidence base; experience; follow up assessment; improved; innovation; knowledge base; literacy; new technology; novel; poor health outcome; population based; post-COVID-19; racial minority; racial population; recruit; remote delivery; response; socioeconomics; tool; trend; underserved area; underserved community; virtual; web-based intervention; working group

Longitudinal studies of the population near, through and after the retirement stage, such as the Health and Retirement Study (HRS), play an important role in aging research because they provide data from a life course perspective, allowing researchers to make population-level causal inference. Because such data collection is a social interaction between researchers and the population, the methods employed to collect data in these studies need to accommodate societal changes. The aging population in the U.S. is experiencing rapid changes. First, its racial, ethnic, and linguistic composition is being shifted by the growing Hispanic and Asian American populations. Second, the reliance of this aging population on new mobile and video technologies has been accelerated by the COVID-19 pandemic. At the same time, the research environment for population-based data collection has also evolved, with an increased availability of administrative records that can be integrated with survey data and the increased use of modern devices for collecting anthropometric and biomarker data that can complement traditional, self-report survey data. Researchers can capitalize on these naturally occurring trends and shape methodological innovations for future longitudinal studies. For example, as the population has become accustomed to communicating via electronic devices during the COVID-19 pandemic, population-based studies have transitioned from using one interview mode to mixing modes, including web-based data collection and virtual interviewing. Unfortunately, the methodological research on optimal data collection approaches for aging populations that has been performed to date has several critical shortcomings: there is a notable lack of data on minority subgroups, optimal approaches to obtaining consent for administrative record linkage and biomarker data collection are unknown, methods for combatting increasing rates of attrition are needed, and there is an absence of methodological research on the use of new technologies for data collection. We propose to form a network of internationally-renowned methodological and substantive experts who are actively researching the benefits of new data collection methodologies in response to these societal developments. The proposed network will meet regularly to shape methodological innovations specifically for the measurement of aging populations and design studies that will produce evidence-based best practices for this type of longitudinal measurement. There are a large number of influential longitudinal studies of aging in the field at present that would stand to benefit from this type of coordinated, rigorous methodological investigation of more efficient approaches to collecting longitudinal measures from (and for) aging populations. Via a coordinated international program of training, consulting, thematic working group meetings, and pilot research projects, we aim to set the agenda for methodological research on longitudinal studies of aging and protect NIA investments in population-representative longitudinal studies.

对退休阶段附近、退休期间和退休后人口的纵向研究，例如健康 和退休研究（HRS）在老龄化研究中发挥着重要作用，因为它们提供了生活中的数据 课程视角，使研究人员能够做出人群层面的因果推断。因为这样的数据 收集是研究人员与公众之间的社会互动，收集所采用的方法 这些研究中的数据需要适应社会变化。美国的人口老龄化程度是 经历快速的变化。首先，其种族、民族和语言构成正在因 不断增长的西班牙裔和亚裔美国人人口。其次，人口老龄化对新能源的依赖 COVID-19 大流行加速了移动和视频技术的发展。与此同时， 基于人口的数据收集研究环境也发生了变化，可用性有所提高 可以与调查数据集成的行政记录以及现代设备的增加使用 用于收集人体测量和生物标记数据，以补充传统的自我报告调查数据。 研究人员可以利用这些自然发生的趋势并塑造方法创新 未来的纵向研究。例如，随着人们已经习惯于通过 在 COVID-19 大流行期间，基于人群的研究已经从使用电子设备转变为使用 从一种访谈模式到混合模式，包括基于网络的数据收集和虚拟访谈。 不幸的是，针对老龄化人口的最佳数据收集方法的方法学研究 迄今为止所进行的研究存在几个严重缺陷：明显缺乏关于 少数群体、获得行政记录链接同意的最佳方法以及 生物标志物数据收集未知，需要对抗不断增加的损耗率的方法， 并且缺乏使用新技术进行数据收集的方法学研究。 我们建议建立一个由国际知名的方法论和实质性专家组成的网络，他们 正在积极研究新数据收集方法的好处，以应对这些社会问题 事态发展。拟议的网络将定期举行会议，以具体形成方法创新 用于衡量人口老龄化和设计研究，以产生基于证据的最佳结果 此类纵向测量的实践。有一大批有影响力的纵向 目前该领域的老龄化研究将受益于这种协调、严格的研究 方法论调查更有效的方法来收集（和为）纵向测量 人口老龄化。通过协调一致的国际培训、咨询、专题工作组计划 会议和试点研究项目，我们的目标是为纵向方法论研究制定议程 老龄化研究并保护 NIA 在人口代表性纵向研究中的投资。