Neurocognitive Aging, Health Disparities Research and Education

抽象的。阿尔茨海默病和相关痴呆症(ADRD)发病率和预后的明显差异 跨种族和族裔群体是迫切需要进一步研究的问题。我们还需要进一步 研究确定和破译可改变的危险因素，包括肥胖、体力活动、 社会经济环境，以及遗传和/或基因-环境相互作用的综合影响 与不同人群的神经认知老化缺陷有关。开放获取数据的可用性 使我们有机会更容易地解决与神经认知相关的多种变量和因素 不同民族/种族群体的老龄化。因此，本附录旨在检查ADRD的健康状况 种族/族裔群体内部和之间的差异，利用大型开放获取数据集以及 开发相应的课程工作坊。(1)。研究目的：考察两者之间的联系 可修改的风险因素、ADRD标记(遗传、蛋白质和成像)、基因与环境的相互作用以及 在三个大的种族/民族中，与神经认知老化和ADRD结局的共病状况 开放获取的数据：国家阿尔茨海默氏症协调中心(NACC)，全球阿尔茨海默氏症协会 互动网络(GAAIN)和我们所有人。1A.通过NACC数据集调查两者之间的关系 合并疾病，如糖尿病、高血压、激素相关癌症伴轻度认知障碍 NHW、西班牙裔和黑人群体内部和之间的MCI和痴呆(特别是阿尔茨海默病)。假设：共同- 病态条件与MCI和AD痴呆症相关，并且这种关系在 种族/民族群体。1B.通过GAAIN研究肥胖与APOE4、ADRD之间的关系 ADRD的标志物(β-淀粉样蛋白、tau和脑结构)及其各自的表观遗传危险因素 西班牙裔散居海外的结果。假设：肥胖与APOE4，ADRD标记物[β-淀粉样蛋白(A？)， Tau和脑结构]与ADRD有关，并在全球西班牙裔散居海外的人中有所不同。1C。至 通过我们所有人，探索肥胖、体力活动和社会经济风险因素之间的联系 NHW、西班牙裔和黑人中的痴呆症和痴呆症。假设：肥胖、体力活动和 社会经济风险因素与痴呆症有关，并会因种族/民族而异。凡可行的，全部 假说将在所有三个数据集中进行测试和比较。此外，我们将应用传统的 以及现代机器学习技术对这些数据集的影响。(2)。培训目标：为以下人员开发课程 三个开放获取数据集/平台的利用、获取、数据内容和探索性分析。这个 课程将通过为不同CSUF学生举办的研讨会提供和评估(每三个研讨会10名 系列)。多样性、公平性、包容性和可获得性(DEIA)计划和指导内容将是 也进行了评估。

Abstract. The stark disparities in Alzheimer’s Disease and Related Dementia (ADRD) incidence and outcomes across racial and ethnic groups are urgent issues necessitating further research. We also need further investigation in identifying and deciphering both modifiable risk factors, including obesity, physical activity, socioeconomic environments, as well as genetics and/or the combined effect of gene-environment interactions associated with neurocognitive aging deficits in diverse populations. The availability of open-access data allows us the opportunity to more readily address multiple variables and factors associated with neurocognitive aging across various ethnic/racial groups. Therefore, this supplement aims to examine ADRD health disparities within and between racial/ethnic groups via leveraging large open-access datasets, as well as develop corresponding curricula workshops. (1). Research Aims: To examine the association between modifiable risk factors, ADRD markers (genetic, protein and imaging), gene-by-environment interactions, and co-morbid conditions with neurocognitive aging and ADRD outcomes across racial/ethnic groups in three large open-access data: the National Alzheimer’s Coordinating Center (NACC), the Global Alzheimer’s Association Interactive Network (GAAIN) and All of Us. 1a. To investigate, via the NACC dataset, the relationship between co-morbid conditions, such as diabetes, hypertension, hormone-related cancers with mild cognitive impairment (MCI) and dementia (specifically AD) within and between NHW, Hispanic and Black groups. Hypothesis: Co- morbid conditions are associated with MCI and AD dementia, and that the relationship varies between racial/ethnic groups. 1b. To investigate, via GAAIN, the association between obesity and APOE4, ADRD markers (beta-amyloid (Aß), tau and brain structure) and respective epigenetic risk factors with ADRD outcomes across the Hispanic diaspora. Hypothesis: Obesity and APOE4, ADRD markers [beta-amyloid (Aß), tau and brain structure] are associated with ADRD, and varies across the Hispanic diaspora globally. 1c. To explore, via All of Us, the association between obesity, physical activity and socioeconomic risk factors with dementia and dementia across NHW, Hispanics and Blacks. Hypothesis: Obesity, physical activity and socioeconomic risk factors are associated with dementia and will vary by race/ethnicity. Where feasible, all hypotheses will be tested and compared across all three datasets. In addition, we will apply both traditional and modern machine learning techniques to these datasets. (2). Training Aim: To develop curricula for utilization, access, data content, and exploratory analyses of the three open-access datasets/platforms. The curricula will be offered and evaluated via workshops for diverse CSUF students (n = 10 per three workshop series). Diversity, Equity, Inclusion and Accessibility (DEIA) program and mentorship components will be evaluated as well.