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
尽管饮食失调(EDS)在所有精神病学中均具有最高死亡率之一
疾病,没有针对厌食症的循证治疗,只有50%的个体
应对贪食症神经和暴饮暴食障碍的黄金标准治疗(认知 -
行为疗法增强:CBT-E)。这些较低的响应率可能部分是由于
症状表现差异很大。一个主要因素,导致高率
EDS之间的异质性是多种认知影响因素,它们保持活跃
疾病状态。 CBT-E是基于重量和形状高估的想法
负责“平均”维护EDS的认知影响机制(即大多数
个人),并以标准化格式交付。但是,有一个有据可查的
“非传统”认知影响机制(例如完美主义)之间的关系
忧虑,羞耻和eds。因此,需要一种可以提供更多的方法
通过解决高异质性,特别是针对急诊治疗的个性化方法
靶向非传统认知影响机制。提议的具体目的
项目是:(1)开发一个编码系统来识别传统和非传统的编码系统
在个性化和标准化(CBT-E)中解决的认知影响目标
治疗,(2)使用个性化网络检查编码治疗目标是否与
数据识别和手动(即CBT-E)治疗目标,(3)确定编码的轮廓
具有非传统认知影响概况与ED传统认知的参与者
情感概况和(4)测试是否具有非传统认知影响概况的参与者
与ed-传统的认知影响概况相比,来自遗传网络的治疗网络不同
结局通过条件。该项目将是迈向确定的重要第一步
饮食失调,认知影响因素和饮食失调结果之间的关系
用于个性化治疗。重要的是,职业发展和心态计划
在这种多样性补充申请中概述将促进Ortiz女士作为少数派的成功
研究人员并为建立科学劳动力的倡议做出了贡献。
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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