Optimizing Mindfulness and Acceptance-Based Treatments for Bulimia Nervosa and Binge Eating Disorder using a Factorial Design

使用析因设计优化针对神经性贪食症和暴食症的正念和基于接受的治疗

基本信息

  • 批准号:
    10612758
  • 负责人:
  • 金额:
    $ 66.02万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-04-01 至 2025-03-31
  • 项目状态:
    未结题

项目摘要

PROJECT SUMMARY Cognitive Behavioral Therapy (CBT) is typically considered the current gold standard and first line treatment for disorders characterized by recurrent binge eating such as bulimia nervosa (BN) and binge eating disorder (BED). Outcomes, while clinically significant, leave substantial room for improvement with recent systematic reviews and meta-analyses finding that 40-50% of patients with BED and nearly 70% of patients with BN remain at least partially symptomatic after a full course of CBT. In an effort to improve outcomes, a growing number of researchers have begun to evaluate the use of mindfulness and acceptance-based behavioral treatments (MABTs) for BN and BED and preliminary evidence suggests such treatments can be effective for this population. Although the research on MABTs for binge eating remains nascent, MABTs are frequently used in clinical practice for BN and BED, with one recent study showing that patients are more likely to report that their therapist has used mindfulness-based techniques than CBT-specific techniques. Given the widespread clinical interest in MABTs and the growing body of research supporting the preliminary efficacy of these treatments, a fully powered tests of the efficacy, mechanisms of action, and moderators of outcome for MABT appears warranted. In particular, rather than testing any specific MABT treatment package (e.g. acceptance and commitment therapy, dialectical behavioral therapy, mindfulness-based eating interventions) in a large clinical trial, we believe that a study that can isolate and evaluate the independent and synergistic efficacy of the most commonly used MABT components has the highest potential for impact. A review of MABTs for BN and BED suggests that there are four commonly used MABT components: (1) Mindful Awareness, (2) Distress Tolerance, (3) Emotion Modulation, and (4) Values-Based Decision Making. MABT treatment packages have vary widely in which of these components they incorporated and which they emphasized. By identifying which components of MABTs are most effective (and for whom they are effective), we can emphasize the powerful elements of MABTs and deemphasize or eliminate inert components. A traditional RCT would not provide the power necessary to evaluate the independent and synergistic efficacies of four distinct treatment components compared to an active treatment approach such as CBT. Instead, the proposed study will use a Multiphasic Optimization Strategy (MOST) approach (including a full factorial design) in which 256 individuals with transdiagnostic binge eating pathology are assigned to one of sixteen behavioral treatments, i.e., representing each permutation of the MABT component described above being included or excluded from the base treatment (a version of CBT that emphasizes the key behavioral ingredients of this treatment approach). Results of the component analysis set up future work to evaluate an optimized treatment containing only effective components (which can be expected to have superior efficacy, efficiency and disseminability) against current gold-standard CBT.
项目总结

项目成果

期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
COVID-19 and binge eating: Patient perceptions of eating disorder symptoms, tele-therapy, and treatment implications.
Characterizing alcohol-related disordered eating behaviors in adults with binge eating.
描述成人暴食症中与酒精相关的饮食失调行为。
  • DOI:
    10.1007/s40519-022-01475-7
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Wilkinson,MeganL;Boyajian,LauraE;Juarascio,AdrienneS
  • 通讯作者:
    Juarascio,AdrienneS
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ADRIENNE SARAH JUARASCIO其他文献

ADRIENNE SARAH JUARASCIO的其他文献

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{{ truncateString('ADRIENNE SARAH JUARASCIO', 18)}}的其他基金

Optimizing digital health technologies to improve therapeutic skill use and acquisition
优化数字健康技术以改善治疗技能的使用和获取
  • 批准号:
    10597202
  • 财政年份:
    2022
  • 资助金额:
    $ 66.02万
  • 项目类别:
Optimizing digital health technologies to improve therapeutic skill use and acquisition
优化数字健康技术以改善治疗技能的使用和获取
  • 批准号:
    10429134
  • 财政年份:
    2022
  • 资助金额:
    $ 66.02万
  • 项目类别:
Reward Re-Training: A new treatment to address reward imbalance during the COVID-19 pandemic
奖励再培训:解决 COVID-19 大流行期间奖励失衡的新疗法
  • 批准号:
    10218350
  • 财政年份:
    2020
  • 资助金额:
    $ 66.02万
  • 项目类别:
Optimizing Mindfulness and Acceptance-Based Treatments for Bulimia Nervosa and Binge Eating Disorder using a Factorial Design
使用析因设计优化针对神经性贪食症和暴食症的正念和基于接受的治疗
  • 批准号:
    10356884
  • 财政年份:
    2020
  • 资助金额:
    $ 66.02万
  • 项目类别:
Using Continuous Glucose Monitoring to Detect and Intervene on Maintenance Factors for Transdiagnostic Binge Eating Pathology
使用连续血糖监测来检测和干预跨诊断性暴食病理学的维持因素
  • 批准号:
    9908791
  • 财政年份:
    2019
  • 资助金额:
    $ 66.02万
  • 项目类别:
Using Continuous Glucose Monitoring to Detect and Intervene on Maintenance Factors for Transdiagnostic Binge Eating Pathology
使用连续血糖监测来检测和干预跨诊断性暴食病理学的维持因素
  • 批准号:
    10023279
  • 财政年份:
    2019
  • 资助金额:
    $ 66.02万
  • 项目类别:
Improving Weight Loss Outcomes for Binge Eating Disorder
改善暴食症的减肥效果
  • 批准号:
    10207616
  • 财政年份:
    2018
  • 资助金额:
    $ 66.02万
  • 项目类别:
Improving Weight Loss Outcomes for Binge Eating Disorder
改善暴食症的减肥效果
  • 批准号:
    10457919
  • 财政年份:
    2018
  • 资助金额:
    $ 66.02万
  • 项目类别:
Improving Weight Loss Outcomes for Binge Eating Disorder
改善暴食症的减肥效果
  • 批准号:
    9755423
  • 财政年份:
    2018
  • 资助金额:
    $ 66.02万
  • 项目类别:
Addressing Weight History to Improve Behavioral Treatments for Bulimia Nervosa
解决体重史以改善神经性贪食症的行为治疗
  • 批准号:
    8891738
  • 财政年份:
    2015
  • 资助金额:
    $ 66.02万
  • 项目类别:

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