Biobehavioral self-regulatory processes underlying real-time binge eating symptoms and obesity risk

实时暴食症状和肥胖风险背后的生物行为自我调节过程

基本信息

项目摘要

Abstract This application for a Mentored Patient-Oriented Research Career Development Award proposes training and research designed to provide the candidate with a foundation to establish a successful career as an independent investigator with expertise in affective, neurocognitive, and neurological mechanisms underlying eating psychopathology and obesity. The candidate seeks advanced training in three areas, each of which build upon her prior knowledge and experience with ecological momentary assessment (EMA) and emotion dysregulation in eating disorders and obesity: (1) neurobiological mechanisms of eating behavior and obesity, including functional magnetic resonance imaging (fMRI) methodology; (2) neuroscience of self-control in relation to eating; and (3) design and analysis of multi-method ambulatory assessment and intervention approaches. Training will be guided by an interdisciplinary team (mentors and collaborators) and will involve formal (e.g., coursework, workshops) and informal (e.g., directed readings, mentoring meetings) activities across the funding period. The research plan harnesses these training experiences and proposes a multi- method study to examine how biobehavioral self-regulatory processes predict momentary binge eating and short-term weight change. Specifically, this study will examine the extent to which affect, attention bias to food cues, and impulsivity (measured via EMA, behavioral tasks, and fMRI) interact to predict real-time binge eating symptoms and subsequent weight change among a sample of 75 adults at risk for obesity (i.e., those with overweight body mass index who endorse regular binge eating). Participants will complete interviews, self- report measures, an fMRI protocol that includes response inhibition and delay discounting tasks, a two-week EMA protocol that includes ambulatory task-based measurement of attention bias, and a six-month follow-up assessment to assess weight change. Importantly, results of this research will identify biobehavioral mechanisms underlying binge eating and obesity risk, which will help to inform novel prevention and interventions. Taken together, the proposed study will advance the understanding of binge eating psychopathology in the context of obesity, and will set the stage for the candidate's future program of research. The training and mentorship provided by the award will further facilitate the candidate's success in becoming an independent investigator, with particular expertise in multi-method ambulatory strategies to identify and target mechanisms contributing to eating and weight disorders.
摘要 本申请为指导患者为导向的研究职业发展奖提出培训和 研究旨在为候选人提供一个基础,以建立一个成功的职业生涯, 独立研究者,具有情感、神经认知和神经机制方面的专业知识 饮食精神病理学和肥胖候选人寻求三个领域的高级培训,每个领域 建立在她先前的知识和经验与生态瞬时评估(EMA)和情感 饮食失调和肥胖症的失调:(1)饮食行为和肥胖症的神经生物学机制, 包括功能性磁共振成像(fMRI)方法;(2)自我控制的神经科学, 多方法动态评估和干预的设计与分析 接近。培训将由一个跨学科团队(导师和合作者)指导, 正式的(例如,课程作业、讲习班)和非正式(例如,指导阅读、指导会议)活动 在融资期间。研究计划利用这些培训经验,并提出了一个多- 方法研究,以检查生物行为自我调节过程如何预测瞬间暴饮暴食, 短期体重变化。具体来说,这项研究将探讨在何种程度上影响,注意力偏差的食物 线索和冲动(通过EMA,行为任务和fMRI测量)相互作用,以预测实时暴食 症状和随后的体重变化(即,的人 体重指数超重的人)。参与者将完成面试,自我- 报告措施,功能磁共振成像协议,其中包括反应抑制和延迟折扣任务,两周 EMA方案,包括基于任务的注意力偏差动态测量和6个月随访 评估体重变化。重要的是,这项研究的结果将确定生物行为 暴饮暴食和肥胖风险的潜在机制,这将有助于为新的预防和 干预措施。综上所述,这项研究将促进对暴饮暴食的理解 肥胖背景下的精神病理学,并将为候选人未来的研究计划奠定基础。 该奖项提供的培训和指导将进一步促进候选人成功成为 独立调查员,在多方法门诊策略方面具有特殊专长, 导致饮食和体重失调的靶向机制。

项目成果

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Kathryn Elizabeth Smith其他文献

Kathryn Elizabeth Smith的其他文献

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{{ truncateString('Kathryn Elizabeth Smith', 18)}}的其他基金

Biobehavioral self-regulatory processes underlying real-time binge eating symptoms and obesity risk
实时暴食症状和肥胖风险背后的生物行为自我调节过程
  • 批准号:
    10621150
  • 财政年份:
    2021
  • 资助金额:
    $ 19.15万
  • 项目类别:
Biobehavioral self-regulatory processes underlying real-time binge eating symptoms and obesity risk
实时暴食症状和肥胖风险背后的生物行为自我调节过程
  • 批准号:
    10189365
  • 财政年份:
    2021
  • 资助金额:
    $ 19.15万
  • 项目类别:
Compliant Shape Memory Polymer Device for Meniscal Repair
用于半月板修复的顺应性形状记忆聚合物装置
  • 批准号:
    8199457
  • 财政年份:
    2011
  • 资助金额:
    $ 19.15万
  • 项目类别:

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