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 使用二级和行政数据集的老年人落后于老年人 评估身体机能的措施。然而，由于相互关联 体力活动预期寿命 (P-ALE) 和认知完整寿命 预期（C-ALE），很难调查有助于 差异总活跃预期寿命（T-ALE）没有改善 C-ALE 的措施。使用辅助数据评估认知表现 提出了身体评估方面无与伦比的挑战 限制。在本研究中，我们将定义并验证 C-ALE 的措施。到 为此，我们将使用两个基于人口的数据集，均由 国家老龄化研究所（NIA），一个开发合适的认知措施的机构 用于分析二手数据并验证它们。第一个 人口，包括 1984 年以来的 10,887 名社区居民参与者， 1989 年或 1994 年国家长期护理调查与其各自相关 医疗保险索赔，将用于制定措施。初步措施将集中 关于可能包含直接或间接内容的三类调查问题 有关认知状态的信息：对痴呆症、“衰老”或“衰老”的报告进行排名 阿尔茨海默病；认知筛查测试的表现；和其他 包含与记忆相关信息的问题。使用医疗保险 ICD-9-CM NLTCS 人群的代码，我们将创建源自 Medicare 的变量 保持临床相关性和变量与折叠类别合适 用于检查与临床不太详细的 NLTCS 调查数据的对应关系。 第二个群体，由大约 2,200 个原始数据组成 Washington Heights Inwood Columbia 的参与者和 2,000 名新注册者 老龄化项目（WHICAP）将用于验证认知测量 针对 NLTCS 人群开发，无论是否有各自的医疗保险 诊断。 WHICAP 是一项纵向、基于社区的多种族研究 痴呆症和衰老每年进行随访，包括电池 神经心理学测试；对异常者进行体检 认识;实验室、MRI 和尸检数据。我们将开发多元 预测基线认知状态、C-ALE 和认知衰退的模型 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测量方法 认知将用于评估基线认知之间的关系 功能、C-ALE 以及随后的医疗保健使用和支出模式。 我们将报告可用于为设计和数据提供信息的发现 未来前瞻性地收集认知相关变量 调查。