A Pilot Investigation of Network-Informed Personalized Treatment for Eating Disorders versus Enhanced Cognitive Behavioral Therapy and Dynamic Mechanisms of Change
饮食失调的网络信息个性化治疗与增强认知行为疗法和动态变化机制的试点研究
基本信息
- 批准号:10612256
- 负责人:
- 金额:$ 4.56万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-08-01 至 2024-11-30
- 项目状态:已结题
- 来源:
- 关键词:AddressAffectiveAnorexia NervosaAwardBinge eating disorderBulimiaCodeCognitiveCognitive TherapyDataDoctor of PhilosophyEating DisordersEvidence based treatmentGoldHeterogeneityIndividualInvestigationK-Series Research Career ProgramsMental disordersMentorshipMethodsMinorityOutcomeParticipantResearch PersonnelSeriesShameShapesStandardizationSymptomsTestingTreatment outcomeUnited States National Institutes of HealthVariantWeightbasecareer developmentcognitive enhancementmortalitypersonalized approachpersonalized medicineresponsestandard caresuccess
项目摘要
PROJECT SUMMARY/ABSTRACT
Despite eating disorders (EDs) carrying one of the highest mortality rates among all psychiatric
disorders, there is no evidence-based treatment for anorexia nervosa and only 50% of individuals
respond to the gold standard treatment for bulimia nervosa and binge eating disorder (cognitive-
behavioral therapy enhanced: CBT-E). These low response rates are likely partially due to the
large variations in symptom presentations. One major factor contributing to the high rates of
heterogeneity across EDs is the wide variety of cognitive-affective factors, which maintain active
illness states. CBT-E is based on the idea that overvaluation of weight and shape is the primary
cognitive-affective mechanism responsible for maintaining EDs ‘on average’ (i.e., for most
individuals) and is delivered in a standardized format. However, there is a well-documented
relationship between “non-traditional” cognitive-affective mechanisms, such as perfectionism,
worry, and shame, and EDS. Therefore, a method is needed that can provide a more
personalized approach to ED treatment by addressing the high heterogeneity and specifically
targeting non-traditional cognitive-affective mechanisms. The specific aims of the proposed
project are to: (1) develop a coding system to identify the traditional and non-traditional
cognitive-affective targets that are addressed in both a personalized and standardized (CBT-E)
treatment, (2) use personalized networks to examine if coded treatment targets correspond with
data-identified and manualized (i.e., CBT-E) treatment targets, (3) identify coded profiles of
participants with non-traditional cognitive-affective profiles versus ED-traditional cognitive-
affective profiles, and (4) test if participants with non-traditional cognitive-affective profiles
versus ED-traditional cognitive-affective profiles from idiographic networks differ in treatment
outcomes via condition. This project will be an important initial step towards identifying the
relations between eating disorders, cognitive-affective factors, and outcomes in eating disorders
to use in personalized treatments. Importantly, the career development and mentorship plan
outlined in this diversity supplement application will promote Ms. Ortiz’s success as a minority
researcher and contribute to the initiative of building a scientific workforce.
项目摘要/摘要
尽管进食障碍(ED)在所有精神疾病中死亡率最高,
虽然没有证据表明神经性厌食症的治疗方法,但只有50%的人
对神经性贪食症和暴食症的金标准治疗有反应(认知-
行为疗法增强:CBT-E)。答复率低的部分原因可能是
症状表现的巨大变化。造成高失业率的一个主要因素是,
ED之间的异质性是各种各样的认知情感因素,这些因素保持活跃
疾病状态。CBT-E是基于这样一种想法,即高估重量和形状是主要的
负责维持ED "平均“的认知-情感机制(即,对于大多数
个人),并以标准化格式提供。然而,有一个很好的记录
“非传统”认知情感机制之间的关系,如完美主义,
担心羞愧还有EDS因此,需要一种方法,其可以提供更好的性能。
通过解决高度异质性和具体的个性化艾德治疗方法
针对非传统的认知情感机制。建议的具体目标
项目是:(1)开发一个编码系统,以确定传统和非传统
个性化和标准化(CBT-E)中解决的认知情感目标
治疗,(2)使用个性化网络检查编码的治疗目标是否与
数据识别和手动化(即,CBT-E)治疗靶点,(3)识别
具有非传统认知情感特征的参与者与具有ED传统认知情感特征的参与者相比,
情感特征,以及(4)测试参与者是否具有非传统的认知情感特征
与ED相比,来自特定网络的传统认知-情感特征在治疗中不同
通过条件的结果。这一项目将是朝着确定
进食障碍、认知情感因素与进食障碍结局之间的关系
用于个性化治疗。重要的是,职业发展和辅导计划
这份多元化补充申请中概述的内容将促进奥尔蒂斯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。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Cheri Alicia Levinson其他文献
Cheri Alicia Levinson的其他文献
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{{ truncateString('Cheri Alicia Levinson', 18)}}的其他基金
Longitudinal Personalized Dynamics Among Anorexia Nervosa Symptoms, Core Dimensions, and Physiology Predicting Suicide Risk
神经性厌食症症状、核心维度和预测自杀风险的生理学之间的纵向个性化动态
- 批准号:
10731597 - 财政年份:2023
- 资助金额:
$ 4.56万 - 项目类别:
Personalized Networks and Sensor Technology Algorithms of Eating Disorder Symptoms Predicting Eating Disorder Outcomes
个性化网络和传感器技术饮食失调症状的算法预测饮食失调的结果
- 批准号:
10652078 - 财政年份:2023
- 资助金额:
$ 4.56万 - 项目类别:
Innovations in Personalizing Treatment for Eating Disorders Using Idiographic Methods and the Impact of Personalization on Psychological, Physical, and Sociodemographic Outcomes
使用具体方法对饮食失调进行个性化治疗的创新以及个性化对心理、身体和社会人口学结果的影响
- 批准号:
10685796 - 财政年份:2023
- 资助金额:
$ 4.56万 - 项目类别:
Facing Eating Disorder Fears for Anorexia Nervosa: A Virtual Relapse Prevention Program Targeted at Approach and Avoidance Behaviors
面对饮食失调对神经性厌食症的恐惧:针对接近和回避行为的虚拟复发预防计划
- 批准号:
10425019 - 财政年份:2022
- 资助金额:
$ 4.56万 - 项目类别:
Facing Eating Disorder Fears for Anorexia Nervosa: A Virtual Relapse Prevention Program Targeted at Approach and Avoidance Behaviors
面对饮食失调对神经性厌食症的恐惧:针对接近和回避行为的虚拟复发预防计划
- 批准号:
10611448 - 财政年份:2022
- 资助金额:
$ 4.56万 - 项目类别:
A Pilot Randomized Control Trial of a Relapse Prevention Online Exposure Protocol for Eating Disorders and Mechanisms of Change
针对饮食失调和变化机制的复发预防在线暴露协议的试点随机对照试验
- 批准号:
10579874 - 财政年份:2021
- 资助金额:
$ 4.56万 - 项目类别:
A Pilot Randomized Control Trial of a Relapse Prevention Online Exposure Protocol for Eating Disorders and Mechanisms of Change
针对饮食失调和变化机制的复发预防在线暴露协议的试点随机对照试验
- 批准号:
10372099 - 财政年份:2021
- 资助金额:
$ 4.56万 - 项目类别:
A Pilot Investigation of Network-Informed Personalized Treatment for Eating Disorders versus Enhanced Cognitive Behavioral Therapy and Dynamic Mechanisms of Change
饮食失调的网络信息个性化治疗与增强认知行为疗法和动态变化机制的试点研究
- 批准号:
10542414 - 财政年份:2021
- 资助金额:
$ 4.56万 - 项目类别:
A Pilot Investigation of Network-Informed Personalized Treatment for Eating Disorders versus Enhanced Cognitive Behavioral Therapy and Dynamic Mechanisms of Change
饮食失调的网络信息个性化治疗与增强认知行为疗法和动态变化机制的试点研究
- 批准号:
10347759 - 财政年份:2021
- 资助金额:
$ 4.56万 - 项目类别:
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 - 财政年份:2021
- 资助金额:
$ 4.56万 - 项目类别:
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