Smartphone-based mindfulness training for health following early life adversity

基于智能手机的正念训练有助于早年逆境后的健康

基本信息

批准号：
10665640
负责人：
Emily Lindsay
金额：
$ 13.06万
依托单位：
UNIVERSITY OF PITTSBURGH AT PITTSBURGH
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-08-15 至 2026-07-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10665640
关键词：
Address Adherence Adult Autoimmune Diseases Benchmarking Biological Biological Markers Biological Process Biology Blood specimen Buffers Cardiometabolic Disease Cellular Phone Childhood Chronic Chronic Disease Collaborations Complementary Health Coping Skills Data Data Collection Dedications Development Plans Educational Intervention Evaluation Evidence based intervention Exposure to Fatigue Functional disorder Future Goals Health Heart Rate IL8 gene Inflammatory Interleukin-10 Interleukin-6 Intervention Life Life Stress Link Location Longevity Measures Mental Health Mentors Mentorship Methodology Methods Mindfulness Training Modeling National Center for Complementary and Integrative Health Outcome Outcome Assessment Participant Pathway interactions Patient Self-Report Persons Physiological Population Populations at Risk Process Psychological Tests Public Health Race Randomized Recording of previous events Reporting Research Risk Risk Factors Sampling Stress Surveys TNF gene Technology Assessment Testing Time Training Work Youth acceptability and feasibility active control biological adaptation to stress career career development coping design disorder risk early life adversity emerging adult emotional neglect emotional trauma evidence base experience follow-up health disparity health training improved inflammatory marker intervention delivery machine learning model mindfulness mindfulness intervention mindfulness meditation mobile computing mobile sensor mortality new technology novel physical conditioning post intervention predictive modeling programs psychosocial recruit risk prediction sensor skills socioeconomics stress reactivity stress reduction systemic inflammatory response wearable device young adult

项目摘要

PROJECT SUMMARY Over 25% of the US population reports exposure to early life adversity (ELA)—physical or emotional trauma or neglect in childhood. ELA predicts life-long health disparities, including increased risk for chronic cardiometabolic and autoimmune diseases and early mortality. Exposure to adversity in childhood is thought to program biological adaptations to stress that contribute to disease risk in adulthood. There are currently no evidence-based interventions to offset these risks in adulthood. Mindfulness meditation interventions have been effective for reducing stress and improving markers of physical health. However, it is unclear whether mindfulness interventions are acceptable and effective for improving health among people with a history of ELA. In a sample of emerging and young adults with a history of ELA, the proposed study evaluates feasibility of using smartphone-based mindfulness and control interventions and of measuring stress in daily life using ambulatory assessment and mobile sensor models with the long-term goal of implementing a stress-triggered just-in-time (JIT) mindfulness intervention in future research. Emerging/young adults with a history of ELA (n=80) will provide two weeks of baseline ambulatory stress ratings, continuous mobile sensor data (e.g., heart rate, activity, and location from wearable devices and smartphones), and blood samples to assess inflammatory biomarkers. Participants will then be randomly assigned to a 14-lesson smartphone-based (a) mindfulness training intervention or (b) matched coping control intervention, both boosted with randomly-delivered practice prompts to permit retrospective evaluation of JIT prompts. Ambulatory stress, sensor data, and inflammatory biomarkers will again be assessed at post-intervention and one-month follow-up. The following primary hypotheses will be tested: (1) interventions and assessments will be feasible in an ELA sample and (2) mindfulness training will improve daily life stress and inflammatory processes. Additionally, toward the design of a JIT mindfulness intervention, mobile sensor data will be used to develop machine-learning models predicting daily life stress, and practice prompts delivered at high stress moments will be evaluated for stress reduction benefit. To meet these aims, the candidate has assembled a mentorship team and training plan focused on (1) conceptual and methodological issues in ELA and health disparities, (2) advanced methods for assessing ambulatory and biological outcomes, and (3) new technology for optimizing outcome assessment and intervention delivery. Combined with the candidate’s background in mechanistic mindfulness research, the proposed research and training will launch an independent career dedicated to maximizing the efficacy of mindfulness interventions for addressing health disparities. These goals align with NCCIH’s objectives to advance understanding of complementary health interventions for improving health in at-risk populations using novel assessment technologies.

项目摘要超过25％的美国人口报告说，暴露于早期生活广告（ELA） - 童年时期或情感创伤或忽视。 ELA预测终生的健康分布，包括增加慢性心脏代谢和自身免疫性疾病的风险以及早期死亡率。人们认为，童年时期的广告暴露是为了对成年后疾病风险的压力进行编程。目前尚无基于证据的干预措施来抵消成年后的这些风险。正念冥想干预措施可有效减轻压力和改善身体健康的标志。但是，尚不清楚正念干预措施是否可以接受并且有效地改善ELA史的人的健康。在具有ELA病史的新兴和年轻人的样本中，拟议的研究评估了使用基于智能手机的正念和控制干预措施以及使用卧床评估和移动传感器模型来测量日常生活中的压力的可行性，其长期目标是实施压力触发的正常时间（JIT）正念（JIT）的正念干预。具有ELA病史的新兴/年轻人（n = 80）将提供两周的基线卧床压力等级，连续的移动传感器数据（例如，可穿戴设备和智能手机的心率，活动以及位置）以及血液样本来评估炎症生物标志物。然后，参与者将被随机分配到基于14的智能手机的（a）正念训练干预措施或（b）匹配的应对控制干预措施，两者都以随机交付的练习提示提示，以允许对JIT提示进行回顾性评估。在干预后和一个月的随访中，将再次评估卧床压力，传感器数据和炎症生物标志物。将测试以下主要假设：（1）在ELA样本中可行的干预措施和评估将是可行的，并且（2）正念训练将改善日常生活压力和炎症过程。此外，为了设计JIT正念干预，移动传感器数据将用于开发预测日常生活压力的机器学习模型，并将在高压力时刻提供的练习提示进行评估以减轻压力。为了实现这些目标，候选人组建了一个心态团队和培训计划，重点介绍了（1）ELA和健康差异的概念和方法论问题，（2）评估卧床和生物学结果的高级方法，以及（3）新技术，以优化结果评估和干预交付。结合候选人在机械正念研究方面的背景，拟议的研究和培训将启动独立的职业，致力于最大程度地提高正念干预措施以解决健康差异的效率。这些目标符合NCCIH的目标，以提高对使用新颖的评估技术来改善高危人群健康的完整健康干预措施的理解。