Analysis Core

分析核心摘要 几乎以任何标准衡量，老年美国印第安人、阿拉斯加原住民(AI/ANS)以及夏威夷和太平洋原住民 岛民(NHPI)比年长的非西班牙裔白人患许多急慢性疾病的风险更高。 作为流离失所的土著人民，他们受到健康的某些社会决定因素的影响 阻碍卫生公平的顽固障碍。2021年，人工智能/人工智能人群的预期寿命(72岁)低于黑人(75岁 白人(79岁)和西班牙裔(82岁)。同年，国家卫生统计中心 注意到由于死亡证明数据不可靠，无法估计卫生保健指标的预期寿命。一个多样化的 科学劳动力提高了公共卫生研究的质量和对服务不足人群的影响，以及 多年来，美国国立卫生研究院一直赞助旨在增加少数族裔代表人数的计划 其队伍中的首席调查员。然而，AI/AN和NHPI首席调查员继续占到 学术卫生研究人员的极小部分，在更高的职级中(例如，正教授和 行政领导)，它们几乎不存在。原住民群体的社区健康与老龄化 老年人(变化)少数民族老龄化研究资源中心(RCMAR)是原住民的延续 老年人研究中心RCMAR。它的目标是招募、培训和培养一支高度多样化的早期干部队伍 研究人员，被称为变化科学家，他们致力于研究原住民老龄化和原住民 老年人健康研究。该计划将在3个队列中每组招聘3名科学家(总共9名)。队列进展 通过为期18个月的课程，包括为期12个月的试点研究和为期6个月的助学金写作 程序。变化分析核心的具体目标是：1)提供最先进的支持研究 方法支持优化研究设计、测量、数据质量和数据分析的科学有效性 用于变革试点研究；2)提供指导、授课指导、促进网络和支持 为变化科学家提供写作资助；3)展示以社区为基础的参与式应用原则 对定量方法学家采用我们的新的五步准则进行研究；以及4)分析方案评估 领导和行政核心以及研究和教育部门收集的数据， 编目和传播变革产品，并与RCMAR协调中心合作，以优化 RCMAR倡议的影响。分析核心团队提供流行病学、生物统计学、 人口学和定性研究方法。核心学院拥有多年提供 AI/AN和NHPI校长领导的土著健康研究的定量和定性方法支持 调查人员与社区合作伙伴合作，他们在指导土著居民方面有着良好的记录 以及其他代表不足的少数族裔早期调查人员，包括RCMAR科学家。分析核心 将致力于确保变化试点研究产生准确、可靠的数据；并促进变化科学家的 职业发展和美国国立卫生研究院资助的成功。

ANALYSIS CORE ABSTRACT By virtually any measure, elderly American Indians, Alaska Natives, (AI/ANs) and Native Hawaiian and Pacific Islanders (NHPIs) are at higher risk than elderly non-Hispanic Whites for numerous acute and chronic illnesses. As displaced Indigenous people, they are affected by certain social determinants of health that present intractable barriers to health equity. In 2021 life expectancy for AI/ANs (72 years) was lower than for Blacks (75 years), Whites (79 years), and Hispanics (82 years). In the same year, the National Center for Health Statistics noted that life expectancy could not be estimated for NHPIs due to unreliable death certificate data. A diverse scientific workforce enhances the quality and impact of public health research with underserved populations, and for many years the NIH has sponsored programs aimed at increasing the number of underrepresented minority Principal Investigators in its ranks. However, AI/AN and NHPI Principal Investigators continue to account for a miniscule fraction of academic health research faculty, and in the higher ranks (e.g., Full Professor and administrative leadership) they are nearly nonexistent. The Community Health and Aging in Native Groups of Elders (CHANGE) Resource Center for Minority Aging Research (RCMAR) is a continuation of the Native Elder Research Center RCMAR. Its goals are to recruit, train, and nurture a highly diverse cadre of early-stage investigators, referred to as CHANGE Scientists, who are pursuing careers dedicated to Native aging and Native Elders’ health research. The program will recruit 3 Scientists in each of 3 cohorts (9 total). Cohorts progress together through an 18-month curriculum comprising a 12-month Pilot Study and a 6-month grant writing program. The CHANGE Analysis Core’s Specific Aims are to: 1) offer state-of-the-art support research methods support to optimize the study design, measurement, data quality, and scientific validity of data analysis for CHANGE Pilot Studies; 2) provide mentoring, deliver didactic instruction, facilitate networking, and support grant writing for CHANGE Scientists; 3) demonstrate applied principles of community-based participatory research by adopting our novel 5-step rubric for quantitative methodologists; and 4) analyze program evaluation data collected by the Leadership and Administrative Core and by the Research and Education Component, catalog and disseminate CHANGE products, and collaborate with the RCMAR Coordinating Center to optimize the RCMAR initiative’s impact. The Analysis Core team offers expertise in epidemiology, biostatistics, demography, and qualitative research methods. Core Faculty have many years of experience providing quantitative and qualitative methods support for Native health research studies led by AI/AN and NHPI Principal Investigators in collaboration with community partners, and they have a strong track record of mentoring Native and other underrepresented minority early-stage investigators, including RCMAR Scientists. The Analysis Core will work to ensure that CHANGE Pilot Studies yield accurate, reliable data; and to promote CHANGE Scientists’ professional development and NIH-funding success.