Motor Activity Research Consortium for Health (mMarch)

运动健康研究联盟 (mMarch)

• 批准号: 10929839
• 负责人: kathleen r merikangas
• 金额: $ 143.69万
• 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/10929839
• 关键词: Academic Medical Centers; Accelerometer; Address; Adolescent; Adult; Affect; Affective; Anxiety; Applet; Attention deficit hyperactivity disorder; Australia; Behavior; Biological; Biometry; Bipolar Disorder; Bipolar I; Body mass index; Brain; Callithrix; Cardiovascular Diseases; Chinese; Circadian Rhythms; Classification; Clinic; Clinical; Cohort Studies; Collaborations; Data; Data Analyses; Data Collection; Databases; Development; Devices; Disease; Disease remission; Distributional Activity; Doctor of Philosophy; Early Intervention; Eating; Ecological momentary assessment; Electronics; Emotions; Evaluation; Exercise; Exhibits; Exposure to; Family; Family Study; Future; General Population; Genetic; Genetic study; Goals; Graph; Health; Health Policy; Heritability; Hong Kong; Hour; Human; Hunger; Individual; Intervention Studies; Investigation; Joints; Learning; Light; Location; Machine Learning; Major Depressive Disorder; Measures; Mediating; Memory; Mental Depression; Mental Health; Mental disorders; Metabolic syndrome; Methodology; Methods; Mind; Modeling; Monitor; Monkeys; Mood Disorders; Moods; Motor; Motor Activity; National Institute of Mental Health; Netherlands; Paper; Participant; Patients; Pattern; Pennsylvania; Perception; Persons; Phenotype; Physical Examination; Physical activity; Population; Population Research; Prevention; Procedures; Process; Protocols documentation; Public Health; Public Health Schools; Publications; Publishing; Queensland; Reporting; Reproducibility; Research; Research Activity; Research Institute; Research Methodology; Research Personnel; Role; Sampling; Sampling Studies; Schizophrenia; Site; Sleep; Standardization; Statistical Methods; Structure; Subgroup; Switzerland; Symptoms; System; Technology; Temperament; Temperature; Testing; Time; Twin Multiple Birth; Twin Studies; United States National Institutes of Health; Universities; Vulnerable Populations; Work; Youth; actigraphy; analytical method; anxiety spectrum disorders; assessment application; cardiovascular risk factor; circadian; climate change; climate impact; cognitive function; cognitive testing; cohort; comorbid depression; comorbidity; data management; design; diaries; disorder subtype; executive function; follow-up; genetic association; genetic risk factor; high risk; improved; indicated prevention; individual variation; insight; interest; mobile application; multimodality; nonhuman primate; novel; open source; personalized medicine; physical conditioning; programs; psychologic; psychological outcomes; response; sedentary lifestyle; sleep behavior; sleep pattern; smartphone based assessment; substance use; translational study; treatment choice

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. 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; 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. Over the last year we collaborated to publish several key papers related to motor activity and daily rhythms monitoring. With researchers from Australia, we examined evidence that suggested a role of circadian dysrhythmia in the switch between activation states in bipolar 1 disorder (BD-1) (Hickie et al, 2023). We found that circadian dysrhythmia is a plausible driver of transitions into high- and low-activation states. This work has implications for indicated prevention, early intervention, and personalized treatment choices, suggesting prioritization in BD research. In collaboration with investigators in Switzerland, we published 3 studies using follow-up data from the CoLaus/PsyColaus study. We investigated the associations of major depressive disorder (MDD) and its subtypes with actigraphy-derived measures of sleep, physical activity and circadian rhythms and tested the potentially mediating role of sleep, physical activity and circadian rhythms in the well-established associations of the atypical MDD subtype with body mass index (BMI) and the metabolic syndrome (MeS) (Glaus et al, 2023). The sample included data from participants who used actigraphy measures as part of their physical evaluation. Results confirmed associations of MDD and its atypical subtype with sleep and physical activity, which are likely to partially mediate the associations of atypical MDD with BMI and MeS, although most of these associations are not explained by sleep and activity variables. Findings highlight the need to consider atypical MDD, sleep and sedentary behavior as cardiovascular risk factors. In a second publication, we investigated associations between ambient temperatures and bad daily mood and identified variables affecting the strength of these associations in the CoLaus/PsyCoLaus population (Bundo et al, 2023). Daily mood was collected using EMA as part of the physical examination. We found that rising temperatures may positively affect mood in the general population, but individuals with psychiatric disorders (such as anxiety, depression, and schizophrenia) may exhibit alternated responses to heat. This research suggests that tailored public health policies may help protect this vulnerable population. Lastly, we published a report on the associations between hunger and psychological outcomes (de Rivaz et al, 2022) using data from participants who completed EMA for one week in CoLaus/PsyCoLaus. Findings showed that positive psychological states and hunger can influence each other, while no association was found between hunger and negative psychological states. We continued to collaborate with investigators from the Netherlands, Norwegian and US (Yale) affiliated mMarch sites on several papers on motor activity. First, we investigated patterns of motor activity with comorbid attention-deficit/hyperactivity disorder (ADHD) and temperamental factors that may influence the clinical course and symptoms, including cyclothymic temperament (CT) (Syrstad et al, 2022). From the Netherlands site data, we reported findings from examining the bidirectional associations between accelerometry-derived physical activity level (PAL) and EMA-rated affect in a 3-hour time frame and evaluated whether associations differed between people with and without current or remitted depression or anxiety (Difrancesco et al, 2022). We found that higher PAL may improve affect, especially in patients with depression or anxiety. This study supports and extends previous findings on the bidirectional relationship between physical activity and mood. We collaborated on statistical and methodologic research on accelerometry data and its demographic and clinical correlates. With researchers from the University of Pennsylvania Biometrics team, we published a paper proposing nonparametric, graph-based two-sample tests for object data with the same structure of repeated measures (Zhang et al, 2022). The proposed tests were demonstrated to provide additional insights on the location, inter- and intra-individual variability of the daily physical activity distributions in a sample of studies for mood disorders. Additionally, our NIMH statistical group developed an open-source publicly available pipeline for loading and cleaning raw accelerometry that facilitates harmonization and enhances reproducibility of accelerometry data (Guo et al, 2022). 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: We plan to expand 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; 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.

我们一直在扩大对青年和家庭内部的多模式研究的扩展，跟随样品检查稳定性，并扩大了评估领域的扩展。我们已经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软件包）；从6个站点进行了处理和分析的动作法数据；应用新颖的统计方法，包括功能性数据分析和对行为跨站点数据解释的联合个人方差（JIVE）；收集并分析了伴随的生态瞬时评估（EMA）数据；检查的跨装置功能；扩展到包括耶鲁大学多伦多（CAMH）和纽约州健康大脑网络在内的新站点；并支持Mindlogger平台中复杂的小程序的开发，以增强用于认知测试，电子日记应用以及基于人群研究中移动评估的纵向数据收集。 在过去的一年中，我们合作发表了与运动活动和每日节奏监测有关的几篇关键论文。在澳大利亚的研究人员的情况下，我们检查了证据，表明昼夜节律症中的作用在双相1障碍（BD-1）中的激活状态之间的转换中（Hickie等，2023）。我们发现，昼夜节律缺乏症是向高激活状态过渡的合理驱动力。这项工作对指示的预防，早期干预和个性化治疗选择有影响，这表明BD研究的优先级。 与瑞士的研究人员合作，我们使用Colaus/Psycolaus研究的后续数据发表了3项研究。我们研究了主要抑郁症（MDD）及其亚型的关联，其与动作学衍生的睡眠，体育锻炼和昼夜节律的衡量指标，并测试了与非典型MDD亚型Index（BMI）（BMI）（MMI）（MMI）（MMI）（MMI）（MMI）（MMI（MMI）（MMI）（MMI）（MMI）（MMI（MMI）（MMI）（MMI）（MMI）（MMI）（MMI）（MMI）（MMI）（MMI）（MMI）（MMI）（MMI）（MMI（MMI）（MMI）（MMI）（MMI）（MMI）（MMI）（MMI（MMI）（MMI）（MMI）（MMI）（MMI）（MMI）（MMI）（MMI）（MMI） - Al，2023）。样本包括来自参与者的数据，这些参与者将使用Actraphy措施作为其物理评估的一部分。结果证实了MDD及其非典型亚型与睡眠和体育活动的关联，尽管这些关联中的大多数并未通过睡眠和活动变量来解释，但它们可能部分介导了非典型MDD与BMI和MES的关联。调查结果表明，需要将非典型MDD，睡眠和久坐行为视为心血管危险因素。在第二个出版物中，我们调查了环境温度与日常情绪不良之间的关联，并确定了影响Colaus/Psycolaus人群中这些关联强度的变量（Bundo等，2023）。使用EMA作为体格检查的一部分收集日常情绪。我们发现，温度上升可能会对普通人群的情绪产生积极影响，但是患有精神疾病的人（例如焦虑，抑郁和精神分裂症）可能会表现出对热量的替代反应。这项研究表明，量身定制的公共卫生政策可能有助于保护这一脆弱人群。最后，我们使用在Colaus/Psycolaus完成EMA一周的参与者的数据发表了有关饥饿与心理成果之间关联（De Rivaz等，2022）之间关联的报告。研究结果表明，积极的心理状态和饥饿会相互影响，而在饥饿和负面的心理状态之间没有发现关联。 我们继续与来自荷兰，挪威和美国（耶鲁）附属机构的调查员合作就几篇有关运动活动的论文进行了合作。 首先，我们研究了可能影响临床病程和症状的气质因素（ADHD）和气质因素（包括胞壳气质（CT）（CT））（Syrstad等，2022）。从荷兰站点的数据中，我们报告了从3小时的时间范围内检查加速度计计量学的体育活动水平（PAL）和EMA评级影响之间的双向关联的发现，并评估了患有和没有电流抑郁症或焦虑的人之间的关联是否有所不同（Difrancesco等人，20222）。我们发现较高的PAL可以改善影响，尤其是在患有抑郁症或焦虑症患者中。这项研究支持并扩展了关于体育活动与情绪之间双向关系的先前发现。 我们在加速度学数据及其人口统计学和临床​​相关性方面进行了统计和方法研究。与宾夕法尼亚大学生物识别团队的研究人员一起，我们发表了一篇论文，提出了非参数，基于图形的两样本测试，对具有相同重复措施结构的对象数据进行了两次样本测试（Zhang等，2022）。证明了所提出的测试可以在情绪障碍研究样本中对每日体育活动分布的位置，间和个体内部差异的更多见解。此外，我们的NIMH统计组开发了一条开源的公开管道，用于加载和清洁原始加速度计，以促进协调并增强加速度计数据的可重复性（Guo等，2022）。 公共卫生影响： MMARCH倡议的形成和延续将使小组能够有效共享和组合数据，以了解有关活动如何影响许多人群的不同疾病和疾病，包括情绪障碍，睡眠模式，昼夜节律节奏，遗传研究，情绪，情绪，饮食以及其他影响公共健康的疾病。这项工作还将定义预防和干预研究的目标。 未来计划： 我们计划使用Actraphy和EMA的常见程序扩展网络，以包括更多可以进行共同数据分析的站点，持续开发分析模型，包括密集重复测量数据的多级动态模型以及对调查范围范围范围内相互关联的结构进行分类的机器学习方法。我们还将报告我们对几个项目的分析结果，这些项目研究了NIMH和COLAUS家族研究中的动作法表型及其与临床和健康指标的关联，以及对Colaus同学中这些表型的遗传关联研究。我们将重点介绍六项主要活动：1）对MMARCH核心组数据的联合分析，包括抑郁症和心血管疾病合并症的Colaus/Psycolaus研究，NESDA研究，荷兰的NESDA研究，澳大利亚对双胞胎的研究和对新兴情绪障碍的青年研究，香港昼夜节律研究，Cohortian研究和A Cohort Firnian of Brazhort of Brazhort of Brazhort of Brazhort of Brazhort， 2）建立一种新方案“节奏和布鲁斯：运动活动和情绪的多域动力学”，以测试NIMH家族研究基础BD的机制的发现机制； 3）在患有情绪障碍的成年人和青年中，增加了几个具有Actraphy和EMA数据的地点； 4）在七个地点开始对青年的新研究（Minimarch合作）； 5）开发转化研究，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节奏和蓝色计划中的实时跟踪和实验范式检查跨域之间的关系及其方向影响；和6）建立方法论工作组，以应对分析多域，多层次强化重复测量数据的挑战，以及另一个旨在在光和温度上建立总体环境数据基础，以解决气候变化对心理健康和基础领域的影响。

项目成果

Objectively assessed sleep and physical activity in depression subtypes and its mediating role in their association with cardiovascular risk factors.

客观评估抑郁亚型的睡眠和体力活动及其在与心血管危险因素关联中的中介作用。

• DOI: 10.1016/j.jpsychires.2023.05.042
• 发表时间: 2023
• 期刊: Journal of psychiatric research
• 影响因子: 4.8
• 作者: Glaus,Jennifer;Kang,SunJung;Guo,Wei;Lamers,Femke;Strippoli,Marie-PierreF;Leroux,Andrew;Dey,Debangan;Plessen,KerstinJ;Vaucher,Julien;Vollenweider,Peter;Zipunnikov,Vadim;Merikangas,KathleenR;Preisig,Martin
• 通讯作者: Preisig,Martin

Dim light melatonin patterns in unaffected offspring of parents with bipolar disorder: A case-control high-risk study.

患有双相情感障碍的父母未受影响的后代的弱光褪黑激素模式：一项病例对照高风险研究。

• DOI: 10.1016/j.jad.2022.07.029
• 发表时间: 2022
• 期刊: Journal of affective disorders
• 影响因子: 6.6
• 作者: Feng,Hongliang;Ho,AmyWing-Yin;Lei,Binbin;Chan,JoeyWingYan;Wang,Jing;Liu,Yaping;Tsang,JessieChiChing;Chan,NganYin;Lam,SiuPing;Merikangas,KathleenRies;Ho,ChungShun;Zhang,Jihui;Wing,YunKwok
• 通讯作者: Wing,YunKwok

Objective assessment of motor activity in a clinical sample of adults with attention-deficit/hyperactivity disorder and/or cyclothymic temperament.

• DOI: 10.1186/s12888-022-04242-1
• 发表时间: 2022-09-14
• 期刊: BMC psychiatry
• 影响因子: 4.4

How ambient temperature affects mood: an ecological momentary assessment study in Switzerland.

• DOI: 10.1186/s12940-023-01003-9
• 发表时间: 2023-07-11
• 期刊: Environmental health : a global access science source
• 作者: Bundo M;Preisig M;Merikangas K;Glaus J;Vaucher J;Waeber G;Marques-Vidal P;Strippoli MF;Müller T;Franco O;Vicedo-Cabrera AM
• 通讯作者: Vicedo-Cabrera AM

Does circadian dysrhythmia drive the switch into high- or low-activation states in bipolar I disorder?

• DOI: 10.1111/bdi.13304
• 发表时间: 2023-02-23
• 期刊: BIPOLAR DISORDERS
• 影响因子: 5.4
• 作者: Hickie，Ian B. B.;Merikangas，Kathleen R. R.;Crouse，Jacob J. J.
• 通讯作者: Crouse，Jacob J. J.