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

基本信息

项目摘要

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 慢性病给老年人带来了沉重的负担,并呈现出独特的智力、方法和 以及对科学家和政策制定者的统计挑战。这些挑战被突显为 新冠肺炎疫情对患有慢性病的老年人的影响不成比例。在这 重新提交加州大学旧金山分校T32翻译流行病学-研究培训续签申请 关于老龄化和慢性病(TE-TRAC)计划,我们建立在我们成功的第一个资金周期的基础上。TE-TRAC 博士后和博士后培训的重点是影响老年人健康的老龄化和慢性病, 包括阿尔茨海默病及相关疾病、癌症、肌肉骨骼和心脏新陈代谢疾病。 我们的T32计划为学员提供出色的量化研究技能和实质性的专业知识 与老龄化有关,强调:1)对老龄化流行病学和交叉点有实质性的理解 与老龄人口健康相关的生物和社会过程;2)严谨、可重复的分析 复杂数据的方法,包括因果推理和统计方法;3)识别、获取、 链接和使用多层次数据资源,如基于纵向调查的队列、电子健康记录或 4)提供翻译研究方面的培训,以提供与政策、临床或 改善健康的行为干预;以及5)为确保学员在研究中取得成功而量身定做的导师制 事业。对于博士前学员,正规的课堂培训与应用研究轮换相结合 联合课程活动,以促进研究专业知识的快速发展,并使学生接触到不同的 视角和方法。博士后实习生建立个性化的研究议程,并为 为他们未来的职业生涯奠定基础。TE-TRAC设在流行病学和生物统计系 在临床和人口研究方面拥有深厚专业知识的教员导师来自加州大学旧金山分校和 它的附属公司。TE-TRAC领导层与教师导师个人和通过指导密切合作 协作以促进最佳指导技能的发展。在最初的5年里,TE-TRAC成功地 招收专业进步突出的优秀实习生。到目前为止,7/17(41%)学员 来自科学界代表性不足的种族/民族群体。与NRSA的目标一致 通过该项目,我们的校友在学术界(78%)和外部(22%)都获得了理想的职位。TE- TRAC已经被强大的候选人和强大的导师超额认购,这要求我们高度拒绝 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 实习生。因此,我们寻求将博士后从2年前增加到3年,博士后从2年增加到4年。 每个传入队列的时隙。一个外部咨询委员会将监督和评估该计划。这个TE- TRAC计划正在培训杰出的量化研究人员,准备利用快速扩张的 可用于解决老龄人口健康的紧急问题的方法学和数据汇编。

项目成果

期刊论文数量(33)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Incident dementia and faster rates of cognitive decline are associated with worse multisensory function summary scores.
Reply by Authors.
作者回复。
  • DOI:
    10.1097/ju.0000000000003038.02
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 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:
  • 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:
  • 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:
  • 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
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Peggy Mannen Cawthon其他文献

Peggy Mannen Cawthon的其他文献

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{{ truncateString('Peggy Mannen Cawthon', 18)}}的其他基金

Core B-Clinical Data Collection and Management Core
核心 B-临床数据收集和管理核心
  • 批准号:
    10555683
  • 财政年份:
    2023
  • 资助金额:
    $ 96.11万
  • 项目类别:
Novel Computed Tomography (CT) Imaging Biomarkers in Older Adults for Predicting Adverse Geriatric Health Outcomes
用于预测老年人不良健康结果的新型计算机断层扫描 (CT) 成像生物标志物
  • 批准号:
    10303313
  • 财政年份:
    2021
  • 资助金额:
    $ 96.11万
  • 项目类别:
Novel Computed Tomography (CT) Imaging Biomarkers in Older Adults for Predicting Adverse Geriatric Health Outcomes
用于预测老年人不良健康结果的新型计算机断层扫描 (CT) 成像生物标志物
  • 批准号:
    10458743
  • 财政年份:
    2021
  • 资助金额:
    $ 96.11万
  • 项目类别:
AMPLIFIed muscle mass in older cancer survivors enrolled in a diet-exercise program
参加饮食锻炼计划的老年癌症幸存者的肌肉质量增加
  • 批准号:
    10531199
  • 财政年份:
    2019
  • 资助金额:
    $ 96.11万
  • 项目类别:
AMPLIFIed muscle mass in older cancer survivors enrolled in a diet-exercise program
参加饮食锻炼计划的老年癌症幸存者的肌肉质量增加
  • 批准号:
    9888993
  • 财政年份:
    2019
  • 资助金额:
    $ 96.11万
  • 项目类别:
AMPLIFIed muscle mass in older cancer survivors enrolled in a diet-exercise program
参加饮食锻炼计划的老年癌症幸存者的肌肉质量增加
  • 批准号:
    10311067
  • 财政年份:
    2019
  • 资助金额:
    $ 96.11万
  • 项目类别:
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:
    10411498
  • 财政年份:
    2016
  • 资助金额:
    $ 96.11万
  • 项目类别:
Determination of Skeletal Muscle Mass by Creatine Dilution
肌酸稀释法测定骨骼肌质量
  • 批准号:
    8653228
  • 财政年份:
    2013
  • 资助金额:
    $ 96.11万
  • 项目类别:
Determination of Skeletal Muscle Mass by Creatine Dilution
肌酸稀释法测定骨骼肌质量
  • 批准号:
    8919080
  • 财政年份:
    2013
  • 资助金额:
    $ 96.11万
  • 项目类别:
Determination of Skeletal Muscle Mass by Creatine Dilution
肌酸稀释法测定骨骼肌质量
  • 批准号:
    8735074
  • 财政年份:
    2013
  • 资助金额:
    $ 96.11万
  • 项目类别:

相似海外基金

Assessing the exposome to elucidate key exposures and causal biomarkers to improve chronic disease risk determination, prevention, and diagnosis in the Prospective Urban and Rural Epidemiology (PURE) study cohort.
评估暴露组以阐明关键暴露和因果生物标志物,以改善前瞻性城乡流行病学 (PURE) 研究队列中慢性病风险的确定、预防和诊断。
  • 批准号:
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  • 项目类别:
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Large-scale epidemiology, chronic disease and disadvantaged populations: evidence and translation
大规模流行病学、慢性病和弱势群体:证据和转化
  • 批准号:
    nhmrc : GNT1136128
  • 财政年份:
    2018
  • 资助金额:
    $ 96.11万
  • 项目类别:
    Research Fellowships
Large-scale epidemiology, chronic disease and disadvantaged populations: evidence and translation
大规模流行病学、慢性病和弱势群体:证据和转化
  • 批准号:
    nhmrc : 1136128
  • 财政年份:
    2018
  • 资助金额:
    $ 96.11万
  • 项目类别:
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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:
    9487757
  • 财政年份:
    2016
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    $ 96.11万
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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:
    10416388
  • 财政年份:
    2016
  • 资助金额:
    $ 96.11万
  • 项目类别:
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
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    10411498
  • 财政年份:
    2016
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    $ 96.11万
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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
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    2016
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转化流行病学 - 老龄化和慢性病研究培训
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    9072380
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    $ 96.11万
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Science Policy Fellowship, Health Promotion and Chronic Disease Prevention Branch/ Centre for Chronic Disease Prevention/ Surveillance and Epidemiology Division/ Public Health Agency of Canada. Dr. Gayatri Jayaraman, Senior Manager
科学政策奖学金、健康促进和慢性病预防处/慢性病预防中心/监测和流行病学部/加拿大公共卫生局。
  • 批准号:
    320208
  • 财政年份:
    2014
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    $ 96.11万
  • 项目类别:
Life course epidemiology of women's reproductive health and its relation to chronic disease
女性生殖健康生命历程流行病学及其与慢性病的关系
  • 批准号:
    MR/M009351/1
  • 财政年份:
    2014
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  • 项目类别:
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