Translational Epidemiology - Training for Research on Aging and Chronic disease

转化流行病学 - 老龄化和慢性病研究培训

• 批准号: 10641744
• 负责人: Peggy Mannen Cawthon
• 金额: $ 96.11万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-05-01 至 2027-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10641744
• 关键词: Aging; Chronic Disease; Epidemiology; Research Training

PROJECT SUMMARY/ABSTRACT Chronic diseases impose a crushing burden on older adults and present unique intellectual, methodological, and statistical challenges to scientists and policy makers. These challenges were highlighted by the disproportionate impact of the COVID-19 pandemic on older adults with chronic conditions. In this resubmission of our renewal application for the UCSF T32 Translational Epidemiology - Training for Research on Aging and Chronic Conditions (TE-TRAC) program, we build on our successful first funding cycle. TE-TRAC pre- and post-doctoral trainees focus on aging and chronic diseases affecting the health of older adults, including Alzheimer’s disease and related disorders, cancer, musculoskeletal, and cardiometabolic disorders. Our T32 program provides trainees with outstanding quantitative research skills and substantive expertise relevant to aging, emphasizing: 1) substantive understanding of the epidemiology of aging and the intersection of biological and social processes relevant to the health of aging populations; 2) rigorous, reproducible analytic methods for complex data, including causal inference and statistical methods; 3) data skills to identify, access, link, and use multi-level data resources, such as longitudinal survey-based cohorts, electronic health records or “omic” information; 4) training in translational research to deliver evidence relevant to policy, clinical, or behavioral interventions to improve health; and 5) mentorship tailored to ensure trainee success in research careers. For pre-doctoral trainees, formal classroom training is combined with applied research rotations and co-curricular activities to foster rapid development of research expertise and expose students to diverse perspectives and methods. Post-doctoral trainees build individualized research agendas and lay the groundwork for their future careers. TE-TRAC is housed in the Department of Epidemiology and Biostatistics and faculty mentors with deep expertise in clinical and population research are drawn from across UCSF and its affiliates. TE-TRAC leadership works closely with faculty mentors individually and via the Mentoring Collaborative to foster optimal mentoring skill development. In its first 5 years, TE-TRAC has successfully recruited excellent trainees who have made outstanding professional progress. To date, 7/17 (41%) trainees have been from racial/ethnic groups underrepresented in science. Consistent with the goals of the NRSA program, our alumni have secured desirable positions both inside (78%) and outside (22%) academia. TE- TRAC has been oversubscribed with strong candidates and strong mentors, requiring that we turn away highly qualified pre- and post-doctoral fellows who would benefit from participation and enrich the experience of other trainees. We therefore seek to increase from 2 to 3 second-year pre-doctoral and from 2 to 4 post-doctoral slots per incoming cohort. An External Advisory Committee will monitor and evaluate the program. The TE- TRAC program is training exceptional quantitative researchers prepared to leverage the rapidly expanding methodologic and data repertoires available to address urgent questions on the health of aging populations.

项目摘要/摘要 慢性疾病对老年人施加了压碎的烧伤，并提出了独特的智力，方法论， 以及对科学家和政策制定者的统计挑战。这些挑战由 19009年大流行对患有慢性条件的老年人的不成比例影响。在这个 重新提交我们针对UCSF T32转化流行病学的续签申请 - 研究培训 关于老化和慢性病（TE-TRAC）计划，我们以成功的第一个融资周期为基础。 Te-Trac 博士后学员专注于影响老年人健康的衰老和慢性疾病， 包括阿尔茨海默氏病和相关疾病，癌症，肌肉骨骼和心脏代谢疾病。 我们的T32计划为培训提供了出色的定量研究技能和实质性专业知识 与衰老相关，强调：1）实质性理解衰老和交集的流行病学 与衰老人群健康有关的生物学和社会过程； 2）严格，可重复的分析 复杂数据的方法，包括因果推断和统计方法； 3）识别，访问的数据技能， 链接并使用多层次数据资源，例如基于纵向调查的队列，电子健康记录或 “ OMIC”信息； 4）翻译研究的培训，以提供与政策，临床或 行为干预以改善健康； 5）量身定制的精神制，以确保受训者在研究方面的成功 职业。对于博士前学员，正式的课堂培训与应用研究轮换相结合 促进研究专业知识的快速发展并将学生暴露于潜水员的活动活动 观点和方法。博士后学员建立了个性化的研究议程，并建立 他们未来职业的基础。 Te-Trac位于流行病学和生物统计学系 以及在临床和人群研究方面具有深厚专业知识的教师导师，从UCSF和 它的分支机构。 Te-Trac领导力与教师导师单独合作，并通过指导 协作以促进最佳的心理技能发展。在最初的5年中，Te-Trac成功了 招募了出色的职业进步的优秀实习生。迄今为止，有7/17（41％）学员 来自科学中人数不足的种族/族裔群体。与NRSA的目标一致 计划，我们的校友在内部（78％）和外部（22％）学术界担任了理想的职位。 te 特拉克（Trac）已被强大的候选人和强大的导师超额订阅，要求我们高度转弯 合格的博士后和博士后研究员，他们将从参与中受益并丰富其他人的经验 学员。因此，我们寻求从2年的第二年增加到3年，并从2年增加到4个。 每个传入队列的老虎机。外部咨询委员会将监视和评估该计划。 TE- TRAC计划正在培训旨在利用快速扩展的卓越定量研究人员 方法论和数据存储库可用于解决有关衰老人群健康的紧急问题。

项目成果

Incident dementia and faster rates of cognitive decline are associated with worse multisensory function summary scores.

• DOI: 10.1002/alz.12134
• 发表时间: 2020-10
• 期刊: Alzheimer's & dementia : the journal of the Alzheimer's Association
• 作者: Brenowitz WD;Kaup AR;Yaffe K
• 通讯作者: Yaffe K

Reply by Authors.

作者回复。

• DOI: 10.1097/ju.0000000000003038.02
• 发表时间: 2023
• 期刊: The Journal of urology
• 作者: Schweizer,MichaelT;True,Lawrence;Gulati,Roman;Zhao,Yibai;Ellis,William;Schade,George;Montgomery,Bruce;Goyal,Sonia;Nega,Katie;Hakansson,AlexanderK;Liu,Yang;Davicioni,Elai;Pienta,Kenneth;Nelson,PeterS;Lin,Daniel;Wright,Jona
• 通讯作者: Wright,Jona

Excess Mortality in California by Education During the COVID-19 Pandemic.

• DOI: 10.1016/j.amepre.2022.06.020
• 发表时间: 2022-11
• 期刊: AMERICAN JOURNAL OF PREVENTIVE MEDICINE
• 影响因子: 5.5
• 作者: Chen, Yea-Hung;Matthay, Ellicott C.;Chen, Ruijia;DeVost, Michelle A.;Duchowny, Kate A.;Riley, Alicia R.;Bibbins-Domingo, Kirsten;Glymour, M. Maria
• 通讯作者: Glymour, M. Maria

A human-machine partnered approach for identifying social media signals of elevated traumatic grief in Chicago gang territories.

一种人机合作方法，用于识别芝加哥帮派地区创伤性悲伤加剧的社交媒体信号。

• DOI: 10.1371/journal.pone.0236625
• 发表时间: 2020
• 期刊: PloS one
• 影响因子: 3.7
• 作者: Stuart,Forrest;Riley,Alicia;Pourreza,Hossein
• 通讯作者: Pourreza,Hossein

Genetic ancestry and diagnostic yield of exome sequencing in a diverse population.

• DOI: 10.1038/s41525-023-00385-6
• 发表时间: 2024-01-03
• 期刊: NPJ GENOMIC MEDICINE
• 影响因子: 5.3
• 作者: Mavura, Yusuph;Sahin-Hodoglugil, Nuriye;Hodoglugil, Ugur;Kvale, Mark;Martin, Pierre-Marie;Van Ziffle, Jessica;Devine, W. Patrick;Ackerman, Sara L.;Koenig, Barbara A.;Kwok, Pui-Yan;Norton, Mary E.;Slavotinek, Anne;Risch, Neil
• 通讯作者: Risch, Neil