Motor Activity Research Consortium for Health (mMarch)

运动健康研究联盟 (mMarch)

• 批准号: 10703947
• 负责人: kathleen r merikangas
• 金额: $ 137.58万
• 依托单位: NATIONAL INSTITUTE OF MENTAL HEALTH
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10703947
• 关键词: Academic Medical Centers; Accelerometer; Address; Adolescent; Adoption; Affect; Affective; Anxiety; Applet; Attention deficit hyperactivity disorder; Australia; Biological; Biometry; Bipolar Disorder; Bipolar I; Brain; Callithrix; Cardiovascular Diseases; Case/Control Studies; Chinese; Circadian Rhythms; Clinic; Clinical; Clinical Data; Cohort Studies; Collaborations; Communities; Data; Data Analyses; Data Collection; Data Element; Databases; Development; Devices; Disease; Doctor of Philosophy; Early Diagnosis; Eating; Ecological momentary assessment; Educational workshop; Emotions; Exercise; Exposure to; FAIR principles; Family; Family Study; Foundations; Future; Genetic; Genetic study; Goals; Health; Health behavior; Heritability; Hong Kong; Human; Individual; Informatics; International; Intervention Studies; Investigation; Joints; Learning; Light; Link; Literature; Machine Learning; Measures; Melatonin; Memory; Mental Depression; Mental Health; Meta-Analysis; Metadata; Methodology; Methods; Mind-Body Method; Modeling; Monitor; Monkeys; Mood Disorders; Moods; Motor; Motor Activity; National Institute of Mental Health; Netherlands; Onset of illness; Outcome; Paper; Parents; Pattern; Perception; Periodicity; Persons; Phenotype; Population; Population Research; Prevention; Procedures; Process; Protocols documentation; Psyche structure; Public Health; Public Health Schools; Publishing; Queensland; Recommendation; Reporting; Research; Research Activity; Research Institute; Research Personnel; Research Support; Resources; Rest; Risk; Role; Sampling; Schedule; Series; Site; Sleep; Societies; Standardization; Statistical Methods; Structure; Subgroup; Substance Use Disorder; Switzerland; System; Technology; Temperature; Testing; Time; Twin Multiple Birth; Twin Studies; United States National Institutes of Health; Universities; Work; Youth; actigraphy; analytical method; anxiety spectrum disorders; brain research; circadian; circadian biology; climate change; climate impact; cognitive function; cognitive testing; cohort; comorbid depression; data integration; data management; data reuse; design; diaries; early onset; emerging adult; endophenotype; executive function; genetic association; genetic risk factor; high risk; improved; informatics infrastructure; innovation; interest; mobile application; multimodality; nonhuman primate; novel; offspring; physical conditioning; physical inactivity; preference; programs; sleep pattern; smartphone based assessment; systematic review; targeted treatment; translational study; wearable sensor technology; young adult

There is growing interest in studying the environmental, biologic, and genetic correlates of the components of motor activity as well as the relationships between motor activity with sleep, exercise, mood, and cognitive functioning. Aggregation of the findings across studies is challenged by the substantial differences in the study goals, procedures, and statistical methods. Therefore, mMARCH seeks greater coordination across studies in the procedures and analytic methods of functional data associated with mood and other disorders. In the past year at NIMH, we have been expanding on intensive multimodal studies of youth and within families, following up samples to examine stability, and expanding on domains of assessment. Across the initiative, we have developed a new processing platform (GGIR, an R package to analyze accelerometer data); processed and analyzed actigraphy data from 6 sites; applied novel statistical methods including functional data analysis and Joint Individual Variance Explained (JIVE) to actigraphy cross-site data; collected and analyzed concomitant ecological momentary assessment (EMA) data from 2 sites; examined cross device features; expanded to new sites including Yale, Toronto (CAMH) and the Healthy Brain Network, NY; and supported the development of sophisticated applets in the MindLogger platform to enhance longitudinal data collection for cognitive testing, electronic diary applications, and tracking of mobile assessments in population-based research. Additionally, over the last year we collaborated to publish several key papers related to motor activity and daily rhythms monitoring. With researchers from Australia, we published a systematic review and meta-analysis studying sleep and circadian rhythm disturbances (SCRD) in young people at high risk for early onset bipolar disorder (BD) (Scott et al, 2022). We found that SCRD are common in individuals with different early expressions of BD, and also found greater preferences for eveningness and more dysregulated rhythms in some groups than others, including bipolar at-risk individuals and cases with adolescent/early adulthood BD onset. This work highlights the need for careful consideration of how to evaluate SCRD in individuals at high risk of developing BD. We also collaborated with the Australia group to publish the first in a series of 3 papers to present recommendations to study causal mechanisms of depression in young people (Crouse et al, 2021). The links between the circadian system and light exposure, motor activity, and regularity of sleepwake schedules, paralleled by physical inactivity, sleepwake schedule irregularity, and use of light-emitting devices at night among young people, suggest that public health approaches need to educate young people and their parents about the relevance of these factors for health. Using emerging methodologies and concepts, including circadian-targeted therapies and integration of data from wearable sensors and ecological momentary assessment of mental phenomena, could provide new understandings of depression and enhance outcomes of young people with depression. We also contributed to a comprehensive systematic review to summarize the literature on actigraphy measures of rest-activity patterns in BD to inform its future use (Panchal et al, 2022). We determined the use of actigraphy provides valuable information about rest-activity patterns in BD and found there is a strong need to extend this work to examine patterns of rhythmicity and regularity in BD. The extant literature supports the promise of actigraphy to pave the way for the development of improved early detection, treatment, and prevention methods. In collaboration with one of our 6 core mMarch sites (Hong Kong), we conducted a case-control study to examine dim light melatonin patterns in high-risk youth of parents with BD (Feng et al, 2022). We found that unaffected offspring of BD had lower nocturnal melatonin levels and that dim light melatonin secretion in BD offspring helped to clarify the link between BD and circadian rhythms. Given that alterations in nocturnal melatonin secretion were found, the decreased nocturnal melatonin level may serve as an endophenotype for BD. Finally, with a team of experts, we published a report detailing a workshop from the Sleep Research Society and Sleep Research Network (Mazzotti et al, 2022). The focus of this workshop was to promote innovative approaches for data integration and development of informatics infrastructure supporting multi-site collaboration in sleep and circadian biology and informatics. Key recommendations included collecting and storing findable, accessible, interoperable, and reusable data; identifying existing international cohorts and resources supporting research in sleep and circadian biology; and defining the most relevant sleep data elements and associated metadata that could be supported by early integration initiatives. This report introduced foundational concepts with the goal of engagement between the sleep/circadian and informatics communities to facilitate harmonization and adoption of standardized practices for both research and clinical data. Public Health Impact: The formation and continuation of the mMARCH initiative will enable groups to efficiently share and combine data to learn more about how activity affects different disorders and diseases across many populations, including mood disorders, sleep patterns, circadian rhythms, genetic studies, emotion, eating, and other disorders that impact public health. This work will also define targets for prevention and intervention studies. Future Plans: Plans for the next year include expanding the network using the common procedures of actigraphy and EMA to include more sites that can conduct common data analyses, continued development of analytic models including multi-level dynamic models of intensive repeated measures data, and machine learning approaches that classify the structure of inter-relationships among the regulatory domains under investigation. We will also report the findings of our analyses of several projects that investigate the heritability of actigraphy phenotypes and their associations with clinical and health measures in the NIMH and CoLaus family studies, and genetic association studies of these phenotypes in the CoLaus cohort. We will focus on six major activities: 1) joint analysis of the mMARCH core group data including the CoLaus/PsyCoLaus study of comorbidity of depression and cardiovascular disease, the NESDA study in the Netherlands, the Australian studies of twin and youth with emerging mood disorders, the Hong Kong circadian rhythms study and a cohort study of Brazilian youth; 2) establishment of a new protocol "Rhythms and Blues: Multidomain Dynamics of Motor Activity and Mood" to test mechanisms for findings on the mechanisms underlying BD from NIMH Family Study of Affective Spectrum Disorder; 3) addition of several sites with actigraphy and EMA data in both adults and youth with mood disorders; 4) initiation of new studies of youth in seven sites (miniMARCH collaboration); 5) development of translational studies to identify the regulatory systems underlying motor activity and sleep across species, where we also plan to examine the cross-domain inter-relationships and their directional influences using real-time tracking and experimental paradigms in the NIH Rhythms and Blues Program; and 6) establishment of methodologic workgroups to address challenges in analysis of multidomain, multilevel intensive repeated measures data from mobile assessments, and another designed to build aggregate environmental data bases on light and temperature to address the impact of climate change on mental health and underlying domains.

人们越来越有兴趣研究运动活动各组成部分的环境、生物和遗传相关性，以及运动活动与睡眠、运动、情绪和认知功能之间的关系。由于研究目标、程序和统计方法存在巨大差异，跨研究的结果汇总受到挑战。因此，mMARCH 寻求在与情绪和其他疾病相关的功能数据的程序和分析方法的研究之间进行更大的协调。 在过去的一年里，NIMH 一直在扩大对青少年和家庭内部的密集多模式研究，跟踪样本以检查稳定性，并扩大评估领域。在整个计划中，我们开发了一个新的处理平台（GGIR，一个用于分析加速度计数据的 R 包）；处理和分析来自 6 个站点的体动记录数据；将新的统计方法应用于体动记录仪跨站点数据，包括功能数据分析和联合个体方差解释（JIVE）；收集并分析了 2 个地点的伴随生态瞬时评估 (EMA) 数据；检查跨设备功能；扩展到新站点，包括多伦多耶鲁大学 (CAMH) 和纽约州健康大脑网络；支持 MindLogger 平台中复杂小程序的开发，以增强认知测试、电子日记应用程序以及基于人群的研究中移动评估跟踪的纵向数据收集。 此外，去年我们合作发表了几篇与运动活动和日常节律监测相关的重要论文。我们与澳大利亚的研究人员合作，发表了一项系统综述和荟萃分析，研究早发性双相情感障碍 (BD) 高风险年轻人的睡眠和昼夜节律紊乱 (SCRD)（Scott 等人，2022）。我们发现 SCRD 在具有不同 BD 早期表达的个体中很常见，并且还发现某些群体比其他群体更偏好夜间和更多失调的节律，包括双相情感障碍高危个体和青少年/成年早期 BD 发病的病例。这项工作强调需要仔细考虑如何评估 BD 高风险个体的 SCRD。我们还与澳大利亚小组合作发表了 3 篇论文系列中的第一篇，提出研究年轻人抑郁症因果机制的建议（Crouse 等人，2021）。昼夜节律系统与光照、运动活动和睡眠觉醒时间表的规律性之间的联系，以及年轻人中缺乏身体活动、睡眠觉醒时间表不规律和夜间使用发光设备的联系，表明公共卫生方法需要教育年轻人人们及其父母了解这些因素与健康的相关性。使用新兴的方法和概念，包括昼夜节律靶向治疗以及可穿戴传感器数据的整合和心理现象的生态瞬时评估，可以提供对抑郁症的新理解并改善患有抑郁症的年轻人的治疗结果。 我们还促成了一项全面的系统综述，总结了 BD 中休息活动模式的体动记录测量的文献，为其未来的使用提供信息（Panchal 等人，2022）。我们确定体动记录仪的使用提供了关于 BD 休息活动模式的有价值的信息，并发现非常需要扩展这项工作以检查 BD 的节律性和规律性模式。现有文献支持体动记录仪为改进早期检测、治疗和预防方法的发展铺平道路的前景。 我们与我们的 6 个核心 mMarch 站点之一（香港）合作，进行了一项病例对照研究，以检查父母患有双相情感障碍的高危青少年的弱光褪黑激素模式（Feng 等人，2022）。我们发现，未受影响的 BD 后代夜间褪黑激素水平较低，并且 BD 后代的弱光褪黑激素分泌有助于阐明 BD 与昼夜节律之间的联系。鉴于发现夜间褪黑激素分泌的改变，夜间褪黑激素水平降低可能是双相障碍的内表型。 最后，我们与专家团队一起发布了一份报告，详细介绍了睡眠研究协会和睡眠研究网络举办的研讨会（Mazzotti 等人，2022 年）。本次研讨会的重点是促进数据集成和信息学基础设施开发的创新方法，支持睡眠和昼夜节律生物学和信息学方面的多站点协作。主要建议包括收集和存储可查找、可访问、可互操作和可重用的数据；确定支持睡眠和昼夜节律生物学研究的现有国际群体和资源；定义早期集成计划可以支持的最相关的睡眠数据元素和相关元数据。该报告介绍了基本概念，旨在促进睡眠/昼夜节律和信息学界之间的合作，以促进研究和临床数据标准化实践的协调和采用。 公共卫生影响： mMARCH 计划的形成和延续将使各团体能够有效地共享和整合数据，以更多地了解活动如何影响许多人群的不同障碍和疾病，包括情绪障碍、睡眠模式、昼夜节律、基因研究、情绪、饮食和饮食。其他影响公共健康的疾病。这项工作还将确定预防和干预研究的目标。 未来计划： 明年的计划包括使用体动记录仪和 EMA 的通用程序扩展网络，以包括更多可以进行通用数据分析的站点，继续开发分析模型，包括密集重复测量数据的多级动态模型，以及机器学习方法对所调查的监管领域之间的相互关系结构进行分类。我们还将报告我们对几个项目的分析结果，这些项目调查了 NIMH 和 CoLaus 家族研究中体动记录表型的遗传性及其与临床和健康措施的关联，以及 CoLaus 队列中这些表型的遗传关联研究。我们将重点关注六项主要活动：1）mMARCH核心组数据的联合分析，包括CoLaus/PsyCoLaus抑郁症和心血管疾病共病研究、荷兰NESDA研究、澳大利亚对患有新出现情绪障碍的双胞胎和青少年的研究、香港昼夜节律研究和巴西青少年队列研究； 2) 建立一个新的协议“节奏和布鲁斯：运动活动和情绪的多域动力学”，以测试 NIMH 情感谱系障碍家族研究中 BD 潜在机制的发现； 3) 添加了几个具有情绪障碍成人和青少年体动记录仪和 EMA 数据的站点； 4) 在七个地点启动新的青年研究（miniMARCH 合作）； 5) 开展转化研究，以确定跨物种运动活动和睡眠的调节系统，我们还计划使用 NIH Rhythms and Blues 中的实时跟踪和实验范例来检查跨域相互关系及其方向影响程序; 6) 建立方法工作组，以应对分析来自移动评估的多领域、多层次密集重复测量数据的挑战，另一个旨在建立基于光和温度的综合环境数据库，以解决气候变化对心理健康和基础领域的影响。