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 教师开展研究活动提供支持，以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。该奖项授予温斯顿-塞勒姆州立大学 (WSSU)，支持旨在识别患有糖尿病前期和糖尿病的非裔美国人成年人潜在虚弱特征的研究。该项目将通过扩大学生的研究机会并增强该系在生物统计研究方面的研究基础设施来支持 WSSU 不断发展的数学项目。该项目将为本科生提供实践培训、指导和研究经验，这将加强和扩大代表性不足群体在数学和统计学方面的参与，并为学生的研究生课程和职业做好准备。该项目有潜力成为增加生物统计科学领域非裔美国人数量的典范，并通过让学生尽早参与研究来支持国家建设强大的 STEM 劳动力队伍。 该项目旨在利用杰克逊心脏研究 (JHS) 提供的广泛公共数据资源进行一系列二次数据分析，以检查患有前驱糖尿病和糖尿病的非裔美国成年人的虚弱情况。使用潜在类别统计分析方法来衡量虚弱程度，该项目的三个目标是：1) 对患有糖尿病前期和糖尿病的非裔美国成人进行潜在虚弱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，以及 3) 测试虚弱潜在类别变量预测不良情况的预测有效性。 结果。该拟议项目将是第一项测试非裔美国人潜在脆弱类别预测有效性的研究。该项目的新颖之处在于，它使用潜在类别分析来检查患有糖尿病前期和糖尿病的非裔美国人群体的虚弱状况，并通过在潜在类别模型中调整协变量和按糖尿病状态（糖尿病前期或糖尿病）对个体进行分组来识别虚弱状况，从而推进生物统计和衰老研究领域的知识。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，并增加他们的生物统计研究知识。该项目通过让历史上被边缘化的群体参与生物统计工作来造福社会，这可以影响他们的原籍社区。通过加深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裔美国人不良后果方面的有效性的了解，学生可以在糖尿病或糖尿病前期可能更为普遍的社区和家庭中担任主题专家。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影响审查进行评估，被认为值得支持 标准。