Big Questions in Cognitive Aging: An Integrative Analysis Approach

认知老化的大问题:综合分析方法

基本信息

  • 批准号:
    8573064
  • 负责人:
  • 金额:
    $ 8.1万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2013
  • 资助国家:
    美国
  • 起止时间:
    2013-08-15 至 2014-07-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): The timing and magnitude of age-related cognitive decline, some of the oldest questions in cognitive aging research, remain open questions of major importance. Although many studies have been conducted, we often cannot compare results because they use different cognitive tests and are not directly comparable. The goal of this proposal is to conduct an integrative data analysis of cognitive aging, meaning drawing together data collected in multiple studies, made comparable by harmonizing traits for general cognitive function, memory, and executive function. We will use several large epidemiologic studies with longitudinal data that administered different neuropsychological test batteries. Cognitive performance will be scaled across study to a nationally representative sample of older adults. To approach this task, we have neuropsychological performance data from 10 epidemiologic and clinical studies of older adults, for a combined sample size of 39,832 adults between the ages of 55 and 110 who have been followed up to 20 years. The studies are a mix of representative, volunteer, and specially selected samples. Our goals in this proposal are to address the timing and magnitude of age-related cognitive decline, and to obtain support for continued development of the composites and eventual preparation of an R01 to address other major questions in cognitive aging. Before we can address such substantive research questions, substantial work is needed to evaluate bias and measurement properties of the harmonized composites. Our study team possesses necessary experience and unique capabilities to complete this work. We have already published the basics of our approach.
描述(由申请人提供):与年龄相关的认知衰退的时间和幅度,是认知老化研究中一些最古老的问题,仍然是重要的悬而未决的问题。虽然已经进行了许多研究,但我们往往无法比较结果,因为它们使用的是不同的认知测试,而且不能直接进行比较。这项建议的目标是对认知老化进行综合数据分析,即收集多项研究收集的数据,通过协调一般认知功能、记忆和执行功能的特征使其具有可比性。我们将使用几项具有纵向数据的大型流行病学研究,这些数据实施了不同的神经心理学测试组合。认知表现将在整个研究中进行衡量,以获得具有全国代表性的老年人样本。为了完成这项任务,我们从10项对老年人的流行病学和临床研究中获得了神经心理学表现数据,样本总和为39832名年龄在55岁到110岁之间的成年人,他们接受了长达20年的跟踪调查。这些研究混合了代表性样本、志愿者样本和特别挑选的样本。我们在这项提案中的目标是解决与年龄相关的认知下降的时间和幅度,并为继续开发复合材料和最终准备R01以解决认知老化中的其他主要问题提供支持。在我们能够解决这样的实质性研究问题之前,需要做大量的工作来评估协调复合材料的偏差和测量性能。我们的学习团队拥有完成这项工作所必需的经验和独特的能力。我们已经发布了我们方法的基本原理。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Alden L. Gross其他文献

P38: Associations between occupation, retirement age and 20-year cognitive decline: The Atherosclerosis Risk in Communities (ARIC) Study
第 38 页:职业、退休年龄与 20 年认知能力下降之间的关联:社区动脉粥样硬化风险(ARIC)研究
  • DOI:
    10.1017/s1041610224002710
  • 发表时间:
    2024-09-01
  • 期刊:
  • 影响因子:
    4.300
  • 作者:
    Albert C. Liu;Mehul D. Patel;Alden L. Gross;Thomas H. Mosley;Andrea L.C. Schneider;Anna M. Kucharska-Newton;A. Richey Sharrett;Rebecca F. Gottesman;Silvia Konto
  • 通讯作者:
    Silvia Konto
A systematic review of patient-reported outcome measures (PROMs) to assess health-related quality of life (HRQoL) for breast cancer patients who are undertaking adjuvant endocrine therapy
  • DOI:
    10.1007/s11136-025-04004-y
  • 发表时间:
    2025-06-18
  • 期刊:
  • 影响因子:
    2.700
  • 作者:
    Rila Su;Claire Snyder;Albert W. Wu;Alden L. Gross;Jiafu Ji;Jiaming Zhang;Laura Morlock
  • 通讯作者:
    Laura Morlock
Measurement Error and Methodologic Issues in Analyses of the Proportion of Variance Explained in Cognition
  • DOI:
    10.1007/s11065-024-09655-1
  • 发表时间:
    2024-11-20
  • 期刊:
  • 影响因子:
    5.000
  • 作者:
    Emma Nichols;Vahan Aslanyan;Tamare V. Adrien;Ryan M. Andrews;David W. Fardo;Brandon E. Gavett;Theone S. E. Paterson;Indira C. Turney;Christina B. Young;James O. Uanhoro;Alden L. Gross;for the Alzheimer’s Disease Neuroimaging Initiative
  • 通讯作者:
    for the Alzheimer’s Disease Neuroimaging Initiative
Co-calibration of cognitive performance in the National Health and Aging Trends Study with the Health and Retirement Study's Harmonized Cognitive Assessment Protocol: Implications for dementia classification
在国家健康与老龄化趋势研究中,依据健康与退休研究的协调认知评估方案对认知表现进行联合校准:对痴呆症分类的意义
  • DOI:
    10.1016/j.ssmph.2025.101796
  • 发表时间:
    2025-06-01
  • 期刊:
  • 影响因子:
    3.100
  • 作者:
    Yuan S. Zhang;Alden L. Gross;Ryan J. Dougherty;Lindsay C. Kobayashi;Jennifer A. Schrack;Vicki A. Freedman
  • 通讯作者:
    Vicki A. Freedman
Cross-national statistical harmonization of the Center for Epidemiologic Studies Depression (CES-D) scale among older adults in China, England, India, Mexico, South Africa, and the United States
中国、英国、印度、墨西哥、南非和美国老年人中流行病学研究中心抑郁量表(CES-D)的跨国统计协调
  • DOI:
    10.1016/j.jclinepi.2024.111623
  • 发表时间:
    2025-02-01
  • 期刊:
  • 影响因子:
    5.200
  • 作者:
    Xuexin Yu;Richard N. Jones;Lindsay C. Kobayashi;Alden L. Gross
  • 通讯作者:
    Alden L. Gross

Alden L. Gross的其他文献

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{{ truncateString('Alden L. Gross', 18)}}的其他基金

Socioeconomic and Cardiovascular Sources of Cross-National Variation in Cognitive Health Among Older Adults
老年人认知健康跨国差异的社会经济和心血管来源
  • 批准号:
    10586126
  • 财政年份:
    2021
  • 资助金额:
    $ 8.1万
  • 项目类别:
Socioeconomic and Cardiovascular Sources of Cross-National Variation in Cognitive Health Among Older Adults
老年人认知健康跨国差异的社会经济和心血管来源
  • 批准号:
    10379328
  • 财政年份:
    2021
  • 资助金额:
    $ 8.1万
  • 项目类别:
Accounting for pre-baseline selective survival in cross-national studies of the exposome in Alzheimer’s disease and related dementias: a novel bias assessment tool
阿尔茨海默病和相关痴呆症暴露组跨国研究中考虑基线前选择性生存:一种新型偏差评估工具
  • 批准号:
    10661154
  • 财政年份:
    2021
  • 资助金额:
    $ 8.1万
  • 项目类别:
Enhancing data quality for cross-national harmonization: Assessment of cognitive function in the CHARLS HCAP by language, literacy, and visual impairment
提高跨国协调的数据质量:根据语言、读写能力和视力障碍评估 CHARLS HCAP 中的认知功能
  • 批准号:
    10759798
  • 财政年份:
    2021
  • 资助金额:
    $ 8.1万
  • 项目类别:
Intersection of Physiologic Frailty and Cognitive Performance in Older Adults: An Integrative Data Analysis
老年人生理虚弱与认知表现的交叉点:综合数据分析
  • 批准号:
    9889017
  • 财政年份:
    2016
  • 资助金额:
    $ 8.1万
  • 项目类别:

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