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教师提供支持，以开展研究活动，进一步提高他们的研究能力和有效性，并帮助加强HBCU的研究和教学。这个奖项给温斯顿-塞勒姆州立大学（WSSU）支持旨在确定潜在的脆弱概况在非洲裔美国人成年糖尿病前期和糖尿病的研究。该项目将支持WSSU不断增长的数学课程，通过扩大学生的研究机会和加强部门在生物统计研究方面的研究基础设施。该项目将为本科生提供实践培训，指导和研究经验，这将加强和扩大数学和统计中代表性不足的群体的参与，并为学生的研究生课程和职业生涯做好准备。该项目有可能成为增加生物统计科学领域非洲裔美国人数量的典范，并通过让学生尽早参与研究，支持国家努力建立一支强大的STEM劳动力队伍。 该项目旨在利用杰克逊心脏研究（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期和糖尿病的非裔美国成年人的虚弱程度。使用潜在类别统计分析方法来测量虚弱，该项目的三个目的是：1）在患有前驱糖尿病和糖尿病的非洲裔美国成年人中进行虚弱潜在特征识别的基础研究，2）检查亚组之间虚弱潜在特征的统计变异性以及协变量之间特征选择的影响，（3）检验虚弱潜在类别变量对不良结局的预测效度。这项拟议的项目将是第一项测试非裔美国人脆弱潜在类别预测有效性的研究。该项目是新颖的，在其使用的潜在类分析，以检查脆弱的非裔美国人的糖尿病前期和糖尿病，并通过调整协变量和分组个人的糖尿病状态（糖尿病前期或糖尿病）的潜在类模型，以确定脆弱的配置文件，在生物统计学和老龄化研究领域的进步知识。该项目的教育部分将为代表性不足的本科生提供指导和研究培训机会，并增加他们对生物统计研究的了解。该项目使历史上被边缘化的群体参与生物统计工作，从而使社会受益，这可能会影响到他们所在的社区。通过加强我们对虚弱的患病率和严重程度及其在预测患有糖尿病前期和糖尿病的非洲裔美国人的不良结局方面的有效性的理解，学生可以在他们的社区和家庭中担任主题专家，其中糖尿病或糖尿病前该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的评估，被认为值得支持。影响审查标准。