Analysis Core

分析核心摘要 美国印第安人/阿拉斯加原住民（AI/AN）和夏威夷原住民/太平洋岛民（NHPI）的平均年龄很高。 阿尔茨海默病和相关痴呆（ADRD）风险因素的患病率，包括血管性脑损伤 和其他认知障碍。然而，我们在AI/AN和NHPI中的ADRD数据有限;即使可靠， 缺乏流行率估计数。补救这种知识缺乏的一个障碍是， 用于识别、诊断和评估ADRD的方法和措施通常不适用于 这些人群，经历独特的社会，文化和环境影响ADRD。最 关于ADRD的现有研究包含的这些人群的成员太少，无法进行有意义的分析， 不同的人口亚群。因此，我们将使用AI/AN和NHPI队列和数据集进行研究 使用的方法和工具，产生准确，可靠的数据有关的主题ADRD。天然 老年痴呆症相关资源中心在少数民族老龄化研究（RCMAR）强调健康 差异和ADRD作为早期或中期职业调查员领导的试点研究的重点RCMAR科学家 这将提供他们所需的经验和指导，以促进迅速扩大范围， AI/AN和NHPI的ADRD研究质量。分析核心的目标是优化试点的质量 RCMAR科学家进行的研究。我们利用20年的经验与土著老年人研究 中心RCMAR，这是由科罗拉多大学和华盛顿州立大学联合运行。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 确保试点研究有效利用研究资源，应用优化有效性和产量的方法 研究结果对更大的目标人群具有明确和有意义的推断。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定量能力 代表性不足的少数民族社区。因此，分析核心的具体目标是：1）协作 与研究教育组件开发和实施方法，以优化有效性，推理， 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）开发和批判性评估数据集目录，其中包含 RCMAR科学家和未来ADRD可以使用的AI/AN和NHPI健康信息 Investigators.如果ADRD在这些群体中的流行程度与白人一样，我们预计将有超过78，800名老年人 AI/AN和18，000名老年NHPI将受到影响。这一高危人群的规模突出表明， 公共卫生的重要性，我们提出的方案。因此，分析核心的工作将最大限度地 科学的严谨性，同时适应后勤和方法上的挑战， 现实世界的研究与代表性不足的社区。

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.