MEASURING COGNITIVELY ACTIVE LIFE EXPECTANCY

测量认知活跃的预期寿命

• 批准号: 6190613
• 负责人: JOYCE C PRESSLEY
• 金额: $ 8.53万
• 依托单位: COLUMBIA UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-09-30 至 2002-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6190613
• 关键词: Medicare /Medicaid; aging; behavioral /social science research tag; cognition; functional ability; health care service utilization; human data; human mortality; human population study; longevity; longitudinal human study; mathematical model

DESCRIPTION (Applicant's abstract): Methodologies to characterize cognition in the elderly using secondary and administrative data sets lag behind those for measures assessing physical function. However, because of the inter-relatedness of physically active life expectancy (P-ALE) and cognitively-intact life expectancy (C-ALE), it is difficult to investigate mechanisms contributing to differential total active life expectancy (T-ALE) without having improved measures for C-ALE. Assessing cognitive performance using secondary data presents challenges that are unparalleled in assessments of physical limitations. In this study, we will define and validate measures for C-ALE. To do this, we will employ two population-based data sets, both funded by the National Institute on Aging (NIA), one to develop cognitive measures suitable for use in analyses of secondary data and one to validate them. The first population, consisting of 10,887 community-dwelling participants from the 1984, 1989, or 1994 National Long Term Care Surveys linked to their respective Medicare claims, will be used to develop measures. Initial measures will focus on three categories of survey questions that may contain direct or indirect information on cognitive status: Rank reports of dementia, "senility," or Alzheimer's disease; performance on cognitive screening tests; and other questions that contain memory-related information. Using Medicare ICD-9-CM codes on the NLTCS population, we will create Medicare-derived variables that maintain clinical relevance and variables with collapsed categories suitable for examining correspondence with less clinically-detailed NLTCS survey data. The second population, consisting of data on approximately 2,200 original participants and 2,000 new enrollees of the Washington Heights Inwood Columbia Aging Project (WHICAP), will be used to validate the cognitive measures developed on the NLTCS population, with and without their respective Medicare diagnoses. WHICAP is a longitudinal, community-based, multiethnic study of dementia and aging with annual follow-up, including a battery of neuropsychological tests; medical examinations for those with abnormal cognition; laboratory, MRI, and autopsy data. We will develop multivariate models for predicting baseline cognitive status, C-ALE, and cognitive decline during follow-up investigating demographic, socioeconomic, function, comorbid conditions, and disease risk variables. Our validated measures of dementia and cognition will be used to assess the relation between baseline cognitive function, C-ALE, and subsequent patterns of health care use and expenditures. We will report findings that could be used to inform the design and data collection of cognitively-related variables in future prospectively conducted surveys.

描述（申请人的摘要）：表征认知的方法论 使用二级和行政数据集的老年人落后于 评估身体机能的措施。但是，由于相关性 预期寿命（P-ale）和认知独立性的生活 预期（C-ale），很难调查导致的机制 差异总预期寿命（T-ALE）而没有改善 C-ale的措施。使用二级数据评估认知性能 提出在评估物理方面无与伦比的挑战 限制。在这项研究中，我们将定义和验证C-ALE的措施。到 这样做，我们将采用两个基于人群的数据集，均由 国家老化研究所（NIA），一个制定合适的认知措施 用于用于辅助数据的分析，并用于验证它们。第一个 人口，由1984年的10,887名社区居民参与者组成， 1989年，或1994年国家长期护理调查与各自的 Medicare主张将用于制定措施。最初的措施将集中 在三类可能包含直接或间接的调查问题上 有关认知状况的信息：痴呆症，“衰老”或 阿尔茨海默氏病；认知筛查测试的表现；还有其他 包含与内存有关的信息的问题。使用Medicare ICD-9-CM NLTCS人群的代码，我们将创建医疗保险衍生的变量 保持临床相关性和变量崩溃的类别合适 用于检查临床上详细详细介绍的NLTCS调查数据的对应关系。 第二个人口，由大约2200个原始数据组成 参与者和华盛顿高地的2,000名新入学者Inwood哥伦比亚 老化项目（WHICAP）将用于验证认知措施 在NLTCS人群中开发，有和没有各自的Medicare 诊断。 Whicap是一项纵向，基于社区的，多种族的研究 痴呆和衰老，每年随访，包括 神经心理学测试；异常患者的体检 认识;实验室，MRI和尸检数据。我们将开发多变量 预测基线认知状况，C-ale和认知能力下降的模型 在随访期间调查人口，社会经济，功能，合并症 条件和疾病风险变量。我们经过验证的痴呆症措施和 认知将用于评估基线认知之间的关系 功能，C-ale和随后的医疗保健使用和支出模式。 我们将报告可用于告知设计和数据的发现 未来进行认知相关变量的收集 调查。