Analysis Core

分析核心摘要 美国印第安人/阿拉斯加原住民(AI/ANS)和夏威夷原住民/太平洋岛民(NHPI) 阿尔茨海默病和相关痴呆(ADRD)危险因素的患病率，包括脑血管损伤 和其他认知障碍。然而，我们在AI/ANS和NHPI中关于ADRD的数据有限；甚至是可靠的 缺乏对患病率的估计。弥补这种知识匮乏的一个障碍是，现有的 识别、诊断和评估ADRD的方法和措施通常不适合与 这些人口经历了对ADRD独特的社会、文化和环境影响。多数 现有的关于ADRD的研究包含的这些人群成员太少，无法进行有意义的分析 不同的种群亚群。因此，我们将使用AI/AN和NHPI队列和数据集进行研究 使用方法和工具，在与ADRD相关的主题上产生准确、可靠的数据。《原住民》 少数族裔老龄化研究中的阿尔茨海默病相关资源中心(RCMAR)强调健康 作为职业生涯早期或中期研究人员领导的先导研究的差异和ADRD 这将为他们提供所需的经验和指导，有助于迅速扩大范围和 使用AI/ANS和NHPI进行ADRD研究的质量。分析核心的目标是优化飞行员的素质 RCMAR科学家进行的研究。我们借鉴了20年来土著长老研究的经验 由科罗拉多大学和华盛顿州大学联合运营的RCMAR中心。我们也 受益于与阿尔茨海默病中心研究人员的合作关系。这一核心将 确保先导研究有效利用研究资源，应用优化有效性的方法，并产生 对更多感兴趣的人群具有明确和有意义的推断的研究结果。我们将整合多种方法 从流行病学、生物统计学、卫生经济学、卫生服务和政策以及健康结果研究， 我们将通过在定性方法方面的特殊经验来增强我们强大的量化能力 未被充分代表的少数族裔社区。因此，分析核心的具体目标是：1)协作 与研究教育组件一起开发和实施方法，以优化有效性、推理 试点研究和未来资金申请的概括性；2)提供结构化的支持和正式的 对RCMAR科学家的教学指导；以及3)开发和批判性地评估包含以下内容的数据集目录 RCMAR科学家和未来的ADRD可以使用的AI/ANS和NHPI健康状况的信息 调查人员。如果ADRD在这些群体中像在白人中一样普遍，我们预计将有超过78,800名老年人 AI/ANS和18,000个老年NHPI将受到影响。这一高危人群的规模突显出 我们提出的计划对公众健康的重要性。因此，分析核心的工作将最大限度地 科学严谨，同时适应后勤和方法挑战，这些挑战在 与代表性不足的社区进行真实世界的研究。

ANALYSIS CORE ABSTRACT American Indians/Alaska Natives (AI/ANs) and Native Hawaiians/Pacific Islanders (NHPIs) have a high prevalence of risk factors for Alzheimer’s disease and related dementias (ADRD), including vascular brain injury and other cognitive impairments. Yet we have limited data on ADRD in AI/ANs and NHPIs; even reliable prevalence estimates are lacking. One barrier to remediating this lack of knowledge is the fact that existing methods and measures for identifying, diagnosing, and evaluating ADRD are often inappropriate for use with these populations, which experience unique social, cultural, and environmental influences on ADRD. Most available studies on ADRD contain far too few members of these populations to permit meaningful analysis of distinct population subgroups. Therefore, we will conduct studies with AI/AN and NHPI cohorts and datasets using methods and instruments that yield accurate, reliable data on topics relevant to ADRD. The Native Alzheimer’s Disease-related Resource Center in Minority Aging Research (RCMAR) emphasizes health disparities and ADRD as the focus of Pilot Studies led by early- or mid-career investigators RCMAR Scientists that will provide the experience and mentorship they need to contribute to a rapid expansion of the scope and quality of ADRD research with AI/ANs and NHPIs. The goal of the Analysis Core is to optimize the quality of Pilot Studies conducted by RCMAR Scientists. We draw on 20 years of experience with the Native Elder Research Center RCMAR, which is jointly run by the University of Colorado and Washington State University. We also benefit from collaborative relationships with investigators from Alzheimer’s Disease Centers. This Core will ensure that Pilot Studies make efficient use of study resources, apply methods that optimize validity, and yield findings with clear and meaningful inference to the larger population of interest. We will integrate diverse methods from epidemiology, biostatistics, health economics, health services and policy, and health outcomes research, and we will augment our robust quantitative capacity with exceptional experience in qualitative methods specific to underrepresented minority communities. Thus, the Specific Aims of the Analysis Core are to: 1) Collaborate with the Research Education Component to develop and implement methods to optimize the validity, inference, and generalizability of Pilot Studies and future funding applications; 2) Provide structured support and formal didactic instruction to RCMAR Scientists; and 3) Develop and critically evaluate a catalog of datasets containing information on the health of AI/ANs and NHPIs that can used by RCMAR Scientists and future ADRD Investigators. If ADRD is as prevalent in these groups as in Whites, we would expect more than 78,800 elderly AI/ANs and 18,000 elderly NHPIs to be affected. The size of this at-risk population underscores the substantial public health importance of the program we propose. Therefore, the work of the Analysis Core will maximize scientific rigor while accommodating the logistical and methodological challenges that not infrequently arise in real-world research with underrepresented communities.