Diversity Supplement for 'Personalized Networks and Sensor Technology Algorithms of Eating Disorder Symptoms Predicting Eating Disorder Outcomes'

“饮食失调症状的个性化网络和传感器技术算法预测饮食失调结果”的多样性补充

• 批准号: 10329150
• 负责人: Cheri Alicia Levinson
• 金额: $ 12.33万
• 依托单位: UNIVERSITY OF LOUISVILLE
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-06-15 至 2023-06-14
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10329150
• 关键词: Algorithms; Award; Behavior; Disease remission; Eating Disorders; Feeling suicidal; Heterogeneity; Individual; Individual Differences; Measurement; Mental disorders; Mentorship; Minority; Modeling; National Research Service Awards; Outcome; Participant; Process; Research; Research Personnel; Sorbus; Suicide; Symptoms; Thinking; Time; base; career development; doctoral student; mortality; sensor technology; severe mental illness; success; suicide rate

PROJECT SUMMARY/ABSTRACT Eating disorders (EDs) are severe mental illnesses with the highest mortality rate of any psychiatric disorder, in part due to the high rates of suicide found within the EDs. Despite the documented relations between suicidal ideation (i.e., thinking about, planning, or considering suicide)7 and behaviors (i.e., potentially injurious behavior with an intent to die)7 and EDs, there has been little research examining how suicidality relates to ED symptoms. Further, there have been no examinations, to date, of how SIB impact the process of ED remission. New statistical approaches that incorporate state-based measurement of momentary symptoms are necessary in understanding the dynamic relations between suicidality and ED symptoms across time. Further, we need a way to develop personalized models of such dynamic relations to capture the individual differences and high levels of heterogeneity found across the EDs. The specific aims are of the proposed project are: (1) examine whether suicidality moderate networks of ED symptoms (i.e., the way in which ED symptoms interrelate), (2) use personalized networks to examine how central symptoms vary at the individual level for ED participants high in suicidality, and (3) determine whether central symptoms of those with elevated eating disorders and suicidality are predictive of ED outcomes and remission. This project will be an important initial step towards better understanding the relations between eating disorders, suicidality, and outcomes in eating disorders. Importantly, the career development and mentorship plan outlined in this diversity supplement application will promote Ms. Hunt's success as a minority researcher and contribute to the initiative of building a scientific workforce.

项目概要/摘要 饮食失调 (ED) 是一种严重的精神疾病，其死亡率是所有疾病中最高的。 精神疾病，部分原因是急诊科内自杀率很高。尽管 记录自杀意念（即思考、计划或考虑）之间的关系 自杀）7 和行为（即意图死亡的潜在伤害行为）7 和 ED， 很少有研究探讨自杀倾向与 ED 症状之间的关系。此外，还有 迄今为止，尚未研究 SIB 如何影响 ED 缓解过程。新统计 需要采用基于状态的瞬时症状测量的方法 了解自杀倾向和 ED 症状之间随时间变化的动态关系。 此外，我们需要一种方法来开发这种动态关系的个性化模型来捕获 ED 中发现的个体差异和高度异质性。具体的 拟议项目的目标是：（1）检查自杀是否会调节 ED 网络 症状（即 ED 症状相互关联的方式），(2) 使用个性化网络 检查自杀倾向高的 ED 参与者的中心症状在个体水​​平上的差异， (3) 确定饮食失调患者的中心症状是否严重 自杀倾向可以预测 ED 的结果和缓解。该项目将是一个重要的初始 朝着更好地理解饮食失调、自杀和自杀之间的关系迈出了一步 饮食失调的结果。重要的是，概述了职业发展和指导计划 在这个多元化补充申请中将促进亨特女士作为少数族裔的成功 研究人员并为建设科学队伍做出贡献。