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.

项目总结/摘要 饮食失调是一种严重的精神疾病，死亡率最高， 精神障碍，部分原因是在急诊室发现的高自杀率。尽管 记录的自杀意念之间的关系（即，思考、计划或考虑 自杀）7和行为（即，潜在的伤害行为，意图死亡）7和ED，有 很少有研究探讨自杀与艾德症状的关系。此外，还有 到目前为止，还没有关于SIB如何影响艾德缓解过程的研究。新的统计 有必要采用基于状态的瞬时症状测量方法 了解自杀倾向和艾德症状之间的动态关系。 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， 个体差异和高水平的异质性发现跨ED。具体 本研究的主要目的是：（1）探讨自杀行为是否与艾德的人际网络有关 症状（即，艾德症状相互关联的方式），（2）使用个性化网络， 检查自杀倾向高的艾德参与者的中心症状在个体水平上是如何变化的， 和（3）确定是否有中枢症状的那些与升高的饮食失调， 自杀倾向可预测艾德结局和缓解。该项目将是一个重要的初始 更好地理解饮食失调，自杀， 饮食失调的后果。重要的是，职业发展和指导计划概述了 这份多样性补充申请将促进亨特女士作为少数族裔的成功 研究人员，并为建设科学劳动力的倡议作出贡献。