Research Initiation Award: A Statistical Approach to Measuring Frailty in African Americans with Prediabetes and Diabetes: A Latent Class Analysis

研究启动奖：测量患有糖尿病前期和糖尿病的非裔美国人虚弱的统计方法：潜在类别分析

• 批准号: 2300385
• 负责人: Felicia Simpson
• 金额: $ 30万
• 依托单位: Winston-Salem State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-01 至 2026-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2300385&HistoricalAwards=false
• 关键词: Research; Initiation; Award; Statistical; Approach

HBCU-UP’s Research Initiation Awards provide support for STEM faculty to pursue research activities to further their research capabilities and effectiveness and help enhance research and teaching at HBCUs. This award to Winston-Salem State University (WSSU) supports research aimed at identifying latent frailty profiles in African Americans adults with prediabetes and diabetes. This project will support WSSU’s growing mathematics program, by expanding research opportunities available to students and enhancing the department’s research infrastructure in biostatistical research. This project will provide hands-on training, mentoring, and research experiences to undergraduate students that will strengthen and broaden the participation of underrepresented groups in mathematics and statistics and prepare students for graduate programs and careers. The project has the potential to be a model for increasing the number of African Americans in biostatistical sciences and support the nations efforts in building a robust STEM workforce by engaging students early in research. This project aims to conduct a series of secondary data analyses, using the extensive public data resources provided by the Jackson Heart Study (JHS), to examine frailty in African American adults with prediabetes and diabetes. Using a latent class statistical analysis approach to measure frailty, this project’s three aims are 1) To conduct basic research in latent profile identification of frailty in African American adults with prediabetes and diabetes, 2) To examine the statistical variability of the latent profiles of frailty among subgroups and the impact of the profiles selection among covariates, and 3) To test the predictive validity of the frailty latent class variable to predict adverse outcomes. This proposed project will be the first study to test the predictive validity of frailty latent classes in African Americans. This project is novel in its use of latent class analysis to examine frailty in an African American population with prediabetes and diabetes and advances knowledge in the field of biostatistical and aging research by adjusting for covariates and grouping individuals by diabetes status (prediabetes or diabetes) in the latent class model to identify frailty profiles. Educational components of this project will provide mentoring and research training opportunities for underrepresented undergraduate students and increase their knowledge of biostatistical research. This project benefits society by engaging historically marginalized groups in biostatistics work which can impact the communities in which they originate. By enhancing our understanding regarding the prevalence and severity of frailty and its validity in predicting adverse outcomes in African Americans with prediabetes and diabetes, students can serve as topic experts within their communities and families in which diabetes or pre-diabetes may be more prevalent.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

HBCU-UP的研究启动奖为STEM教师提供了购买研究活动的支持，以进一步提高其研究能力和有效性，并有助于增强HBCUS的研究和教学。该奖项授予温斯顿 - 塞勒姆州立大学（WSSU）支持旨在确定患有糖尿病前和糖尿病的非洲裔美国人的潜在脆弱概况的研究。该项目将通过扩大学生可用的研究机会并增强该部门在生物统计研究中的研究基础设施来支持WSSU不断增长的数学计划。该项目将为本科生提供动手培训，心理和研究经验，这些学生将加强和扩大代表性不足的小组在数学和统计学中的参与，并为学生准备研究生课程和职业。该项目有可能成为增加生物统计学科学中非洲裔美国人数的模型，并支持各国通过使学生早期参与研究来建立强大的STEM劳动力的努力。该项目旨在使用杰克逊心脏研究（JHS）提供的广泛的公共数据资源进行一系列二级数据分析，以检查患有糖尿病前和糖尿病的非裔美国人成年人的脆弱。该项目的三个目的是使用潜在的阶级统计分析方法来衡量脆弱的目的是1）在具有预测有效性和糖尿病的非裔美国人成年人的潜在概况识别基础研究中，2）研究子组中脆弱的统计变异性，以及在子组中的影响范围，并预测了对协方差的变化，并测试了协方差的范围，并测试了协证的范围。结果。该拟议的项目将是第一个测试非洲裔美国人脆弱的潜在阶级预测有效性的研究。该项目在使用潜在类别分析来检查具有糖尿病前和糖尿病前期的非洲裔美国人群中的脆弱性是新颖的，并且通过调整糖尿病状态（糖尿病或糖尿病前期的糖尿病或糖尿病模型）来确定富裕的糖尿病状态（糖尿病或糖尿病），从而在生物统计学和衰老研究领域提高知识。该项目的教育组成部分将为代表性不足的本科生提供心理和研究培训机会，并提高他们对生物统计研究的了解。该项目通过使历史上边缘化的群体参与生物统计学工作，从而使社会受益，这可能会影响其起源的社区。通过增进我们对脆弱的普遍性和严重程度及其在预测患有糖尿病前和糖尿病前期不良后果的有效性方面的理解，学生可以在其社区和家庭中充当主题专家，糖尿病或糖尿病前期的糖尿病或糖尿病前期可能更为普遍。这些奖项通过NSF的稳定范围和诚实的依据来评估，这是NSF的稳定范围的依据。 标准。