Network for Advancing Methodological Research in Longitudinal Studies of Aging

推进老龄化纵向研究方法论研究网络

• 批准号: 10627844
• 负责人: Sung-Hee Lee
• 金额: $ 38.81万
• 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/10627844
• 关键词: Acceleration; Aging; Appointment; Asian Americans; Behavioral; Biological Markers; Biosocial; COVID-19 pandemic; Collaborations; Communication; Complement; Complex; Consent; Consult; Data; Data Collection; Development; Devices; Educational workshop; Electronics; Ensure; Environment; Ethnic Origin; Faculty; Funding; Future; Goals; Group Meetings; Health; Health and Retirement Study; Hispanic Americans; Hispanic Populations; Home; Influentials; International; Interview; Investigation; Investments; Lead; Life Cycle Stages; Linguistics; Link; Longitudinal Studies; Measurement; Measures; Methodology; Methods; Michigan; Minority; Minority Groups; Modernization; Online Systems; Paper; Participant; Patient Self-Report; Pilot Projects; Play; Population; Population Study; Postdoctoral Fellow; Race; Records; Research; Research Activity; Research Design; Research Methodology; Research Personnel; Research Project Grants; Retirement; Role; Running; Series; Shapes; Social Interaction; Subgroup; Survey Methodology; Surveys; Techniques; Technology; Time; Training; Training Activity; Training Programs; Universities; Work; aging demography; aging population; data collection methodology; design; evidence base; experience; improved; innovation; meetings; member; mid-career faculty; new technology; population based; programs; recruit; research and development; response; social; synergism; trend; virtual; web portal; web site; 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，到退休阶段之后的人口的纵向研究，例如健康 和退休研究（HRS），在衰老研究中起重要作用，因为它们提供了生活中的数据 课程的观点，使研究人员能够进行人群级别的因果推论。因为这样的数据 收集是研究人员与人群之间的社会互动，用于收集的方法 这些研究中的数据需要适应社会变化。美国的老龄化人口是 经历快速变化。首先，它的种族，种族和语言构成正在转移 种植西班牙裔和亚裔美国人。其次，这个老龄化对新的人口的依赖 COVID-19大流行已经加速了移动和视频技术。同时， 基于人群的数据收集的研究环境也在发展，可用性增加 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 用于收集可以补充传统自我报告调查数据的人体测量和生物标志物数据。 研究人员可以利用这些自然发生的趋势和塑造方法论创新 未来的纵向研究。例如，随着人口已经习惯于通过 在19009年大流行期间的电子设备基于人群的研究已从使用过渡 混合模式的一种访谈模式，包括基于Web的数据收集和虚拟访谈。 不幸的是，关于老龄化人群最佳数据收集方法的方法论研究 到目前 少数族裔亚组，获得管理记录链接的同意的最佳方法和 生物标志物数据收集尚不清楚，需要打击增加损耗率的方法， 而且缺乏关于新技术用于数据收集的方法论研究。 我们建议建立一个由国际知名的方法论和实质专家组成的网络 正在积极研究新数据收集方法对这些社会的好处 发展。拟议的网络将定期开会以专门塑造方法论创新 为了测量衰老人群和设计研究，这些研究将产生循证最佳 这种纵向测量的实践。有大量影响的纵向 目前对现场衰老的研究，该研究将受益于这种协调，严格的 方法论研究更有效的方法，用于收集（及其）的纵向措施 人口老龄化。通过协调的国际培训，咨询，主题工作组 会议和试点研究项目，我们旨在为纵向研究制定议程 对人群代表性纵向研究的衰老和保护NIA投资的研究。