Smartphone-based meditation training to reduce adolescent depression

基于智能手机的冥想训练可减少青少年抑郁

• 批准号: 10664427
• 负责人: Matthew Hirshberg
• 金额: $ 13.5万
• 依托单位: UNIVERSITY OF WISCONSIN-MADISON
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-07-07 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10664427
• 关键词: 3-Dimensional; Address; Adolescence; Adolescent; Adult; Attention; Award; Behavior; Behavior assessment; Behavioral; COVID-19 pandemic; Caring; Cellular Phone; Clinical; Clinical Research; Clinical Trials; Cognitive; Complex; Control Groups; Coupled; Data; Development; Effectiveness; Equation; Funding; Future; Geography; Goals; Grant; Growth; Healthcare; Heart; Heart Rate; Individual Differences; Information Systems; Intercept; Intervention; Intervention Studies; K-Series Research Career Programs; Knowledge; Lead; Loneliness; Major Depressive Disorder; Mediating; Mediation; Mediator; Meditation; Mental Depression; Mental Health; Mental Health Services; Mentors; Methods; Mind; Modeling; Outcome Measure; Participant; Patient Outcomes Assessments; Patient Self-Report; Personal Satisfaction; Persons; Pilot Projects; Population; Positioning Attribute; Prevalence; Prevention; Psychopathology; Psychophysiology; Race; Randomized; Randomized, Controlled Trials; Religion; Reporting; Research; Rest; Safety; Sampling; Sleep; Social isolation; Symptoms; Technology; Testing; Thinking; Training; Translational Research; Treatment Efficacy; United States; United States National Institutes of Health; Waiting Lists; Work; acceptability and feasibility; active control; arm; child depression; cost; depressive symptoms; design; effective therapy; efficacy evaluation; follow-up; frontier; high school; innovation; intervention delivery; mHealth; mindfulness; mobile computing; programs; psychologic; randomized trial; randomized, clinical trials; service providers; skills; skills training; sleep quality; smartphone application; social; virtual; wearable device

Project Summary / Abstract Despite robust evidence that (a) depression rises precipitously during adolescence, (b) mental health during adolescence predicts lifelong trajectories, and (c) meditation-based interventions (MBIs) reduce depressive symptoms, access to and research on MBIs in adolescent populations is limited. Mobile health (mHealth) delivery of MBIs offers the promise of accessibility, affordability, and personalization. Research on mHealth MBIs in adults indicates these programs are feasible, acceptable, safe, and effective in reducing depressive symptoms. Coupled with advances in ambulatory assessment of behavior and psychophysiology (i.e., personal sensing data) through wearable devices, mHealth and personal sensing data represent a new frontier in intervention research and mental health care. Although mHealth technologies are ubiquitous for today’s adolescents, there is virtually no research on mHealth MBIs in adolescents and no research integrating mHealth MBI delivery with personal sensing data. The proposed Career Development Award begins to address this knowledge gap by developing the candidate’s skills to conduct research involving clinical adolescent samples, personal sensing data, and advanced mediation methods to identify mechanisms of change. This new training will be leveraged to study, in a sample of 150 adolescents with elevated depressive symptoms, the impact of a mHealth MBI that has strong preliminary evidence of efficacy. Participants will be randomly assigned to the mHealth MBI or to a wait-list control condition. Aim 1 will assess the feasibility, acceptability, and safety of the 8-week mHealth MBI in depressed adolescents. Aim 2 will preliminarily assess program efficacy in reducing depressive symptoms. Aim 3 will characterize psychological (i.e., perseverative thinking, cognitive distancing, loneliness), behavioral (i.e., social isolation via geolocation data), and psychophysiological (i.e., sleep quality and heart rate metrics via wearable) mediator effects on depressive symptoms using advanced structural equation modeling methods. These methods will provide preliminary evidence of intervention efficacy while potentially identifying mechanisms of change at multiple levels of analysis, providing critical data for planning future, large-scale randomized controlled trials. All aims will be supported by didactic, experiential, and mentored training in the fundamentals of clinical research through the NIH-funded Institute for Clinical and Translational Research (ICTR) and the Center for Healthy Minds. Aim 3 will be facilitated by new training in personal sensing data and advanced mediation methods, supported by a mentor team with extensive expertise in these domains. Combined, the research aims and training goals of this project seek to promote the development of accessible, acceptable, safe, and effective mHealth MBIs for the treatment and ultimately prevention of adolescent depression. This award will enable the candidate to conduct future intervention and mechanism research aimed at reducing the burden of depression in adolescents.

项目摘要 /摘要 尽管有强有力的证据表明（a）青少年期间抑郁症急剧增加，（b）在 青少年预测终生轨迹，（c）基于冥想的干预措施（MBIS）减少抑郁症 青少年人口中MBI的症状，获取和研究是有限的。移动健康（MHealth） MBI的交付提供了可访问性，可用性和个性化的承诺。关于MHealth的研究 成年人的MBI表示这些计划是可行的，可接受的，安全的，并且有效地降低了抑郁症 症状。再加上行为和心理生理学的门诊评估的进步（即个人 传感数据）通过可穿戴设备，MHealth和个人感应数据代表了一个新的边界 干预研究和心理保健。虽然MHealth Technologies无处不在 青少年，几乎没有关于青少年MHealth MBI的研究，也没有整合的研究 MHealth MBI提供了个人感应数据。拟议的职业发展奖开始 通过发展候选人的技能来进行涉及临床的研究，以解决这一知识差距 青少年样本，个人感应数据和高级调解方法，以识别 改变。这种新的培训将在150名抑郁症的青少年样本中进行研究 症状，具有强大初步证据的MHealth MBI的影响。参与者会 随机分配给MHealth MBI或等待名单控制条件。 AIM 1将评估可行性， 在抑郁症的青少年中，为期8周的MHealth MBI的可接受性和安全性。 AIM 2将初步评估 减少抑郁症状的计划效率。 AIM 3将表征心理学（即持久性 思考，认知疏远，孤独），行为（即通过地理位置数据的社会隔离）和 心理生理学（即通过可穿戴的睡眠质量和心率指标）对抑郁症的影响 使用先进的结构方程建模方法的症状。这些方法将提供初步 干预效率的证据，同时可能识别多个级别的变化机制 分析，为计划未来的大规模随机对照试验提供关键数据。所有目标都是 在临床研究基础上的教学，经验和修补培训的支持下 NIH资助的临床和转化研究所（ICTR）和健康思维中心。目标3 将通过个人感应数据和高级调解方法的新培训来准备 指导团队在这些领域拥有广泛的专业知识。该研究的目的和培训目标结合在一起 项目旨在促进可访问，可接受，安全和有效的MHealth MBI的发展 治疗并最终预防青少年抑郁症。该奖项将使候选人能够进行 未来的干预和机制研究旨在减少青少年抑郁症的伯宁。