Engaging self-regulation targets to understand the mechanisms of behavior change and improve mood and weight outcomes

参与自我调节目标以了解行为改变的机制并改善情绪和体重结果

• 批准号: 9769847
• 负责人: Jun Ma
• 金额: $ 124.96万
• 依托单位: UNIVERSITY OF ILLINOIS AT CHICAGO
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-15 至 2021-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9769847
• 关键词: Adherence; Adult; Affect; Antidepressant adherence; Behavior; Behavior Therapy; Behavioral; Behavioral Mechanisms; Behavioral Sciences; Biological; Biological Assay; Body Weight decreased; Brain; Cardiovascular Diseases; Characteristics; Cognitive; Comorbidity; Data Analyses; Depressed mood; Diet; Diet Research; Disease; Disease remission; Early treatment; Educational workshop; Effectiveness; Emotional; Equilibrium; Funding; Health behavior; Health behavior change; Health behavior outcomes; Human; Individual; Informal Social Control; Intervention; Intervention Studies; Laboratories; Life Style; Longterm Follow-up; Maintenance; Measures; Medical; Medicine; Mental Depression; Moods; Neurosciences; Obesity; Outcome; Participant; Pharmaceutical Preparations; Pharmacotherapy; Phase; Physical activity; Physiological; Population; Prediction of Response to Therapy; Primary Health Care; Process; Randomized; Randomized Controlled Trials; Regimen; Regulation; Research; Science; Series; Subgroup; Testing; Time; Training; Waiting Lists; Weight; Weight maintenance regimen; Woman; adverse outcome; base; behavior change; behavioral adherence; burden of illness; depressive symptoms; diabetes risk; disability; evidence base; good diet; health disparity; improved; individualized medicine; insight; lifetime risk; men; multiple chronic conditions; obesity treatment; patient subsets; personalized intervention; pilot trial; population health; problem solving therapy; programs; prototype; psychologic; public health relevance; relating to nervous system; research study; response; symposium; theories; treatment as usual; virtual

 DESCRIPTION (provided by applicant): Background: Obesity affects 36% of US women and men and increases lifetime risk for diabetes and cardiovascular disease. Similarly, depression affects 20% of US women and 13% of men and is the leading cause of disability worldwide. Further, the 2 disorders have a bidirectional positive relationship. Proven behavioral interventions to treat obesity and depression exist; however, the underlying biological mechanisms remain unknown. This lack of understanding significantly hampers efforts to optimize the effectiveness of behavioral interventions and limits their dissemination and implementation into widespread practice to curtail the adverse consequences of obesity and depression and promote population health. Rapid advances in human neuroscience and behavioral science and integration of the two could provide unique opportunity to fill this gap. Objective: Leveraging a recently funded 2-year randomized controlled trial ("RAINBOW" target n=404; PI Dr. Jun Ma) of a first-ever integrated treatment for comorbid obesity and depression in primary care that uniquely combines 2 nationally recognized behavioral interventions, we propose a 2-phased project to identify, validate and refine a set of assays to measure self-regulation targets; and to engage these targets to optimize behavioral treatment of obesity and depression. Specific Aims: In the UH2 phase, we will (1) Conduct secondary data analysis and hold workshops and a symposium to finalize selection of self-regulation targets and assays for testing; (2) Leverage the RAINBOW intervention to engage identified targets; and (3) Verify target engagement across multiple domains (neural, physiological, behavioral, psychological), settings (laboratory, virtual, and naturalistic), and time points (0, 4 weeks, 6, 12 and 24 months) Transitional milestones are to (1) Establish assay(s) that reliably and accurately measure the identified targets; (2) Demonstrate malleability of the self-regulation target(s) in response to th RAINBOW integrated treatment; and (3) Identify self-regulation profile(s) that predict treatment response in health behaviors (medical regimen adherence, physical activity, diet) and outcomes (weight, depression). In the UH3 phase, we will conduct a pilot randomized controlled trial in which an additional 100 obese and depressed adults will be randomized to intervention or wait-list control and assessed at baseline, 4 weeks and 6 months. Intervention subjects will receive the first 4 weeks of the RAINBOW intervention, followed by target-guided tailoring of the intervention components in order to optimize target engagement and enhance behavioral change based on their individual self-regulation profile during the first 4 weeks. We will use the insights from intervention subjects to then further refine the tailoring strategies for the waitlis subjects. Implications: This research will provide a toolkit of well-validated assays of self-regulation targets important for health behavior change, as well as target- guided personalization of intervention strategies, in the treatment of comorbid obesity and depression. Impact: Given the widespread relevance of these disorders and the targeted health behaviors, this research will be a prototype for treating multiple chronic conditions with profound potential impacts on population health.

 描述（通过应用程序证明）：背景：肥胖会影响美国和男性的36％，并增加了糖尿病和心脏疾病的终身风险在全球范围内，这两种疾病具有双向阳性关系。独特的填充作品。干预，验证和精炼测定法以测量自我调节目标；用于测试；（3）验证跨多个领域（神经，生理，行为，心理学），设置（实验室）和时间点（0、4周，6、6、12和24个月）的转移里程碑的目标参与）那个测定的测定方法是响应彩虹综合处理的自由调节靶标的；活动，饮食）和结局（体重，体重，深度）。和6个月的干预受试者将接受彩虹干预的前4周，然后是针对干预组件的目标定制，以便在最初的4周内根据其个体的自我调节概况来靶向行为变化将使用干预对象的洞察力到裁缝阶段的自我调节目标将是信任多疗法慢性疾病的原型，对人群健康产生深远的影响。