Sleep Resource Core

睡眠资源核心

• 批准号: 10669204
• 负责人: Elizabeth B. Klerman
• 金额: $ 14.07万
• 依托单位: BRIGHAM AND WOMEN'S HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-06-01 至 2025-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10669204
• 关键词: Address; Affect; Age; Aging; Algorithms; Animal Experimentation; Animal Model; Animals; Area; Body Composition; Calibration; Cardiovascular system; Certification; Cognition; Cognitive; Collaborations; Collection; Communities; Data; Data Analyses; Data Collection; Databases; Dementia; Deposition; Devices; Disease; Disease Outcome; Education; Electroencephalography; Ensure; Equipment; Funding; Goals; Health; Hospitals; Hot flushes; Human; Implanted Electrodes; Information Dissemination; Leadership; Link; Maintenance; Manuals; Manuscripts; Measurement; Measures; Mediating; Mental Health; Metabolic; Modality; Monitor; Mus; Neurologic; Operative Surgical Procedures; Outcome; Outcome Measure; Participant; Performance; Perimenopause; Physiological; Physiology; Pilot Projects; Polysomnography; Postmenopause; Predisposition; Preparation; Prevalence; Process; Protocols documentation; Quality Control; Questionnaires; Reading; Research; Research Personnel; Research Project Grants; Research Support; Resources; Rest; Risk Factors; Rodent; Science; Secure; Sex Differences; Signal Transduction; Sleep; Sleep disturbances; Sleeplessness; Stress; Symptoms; Syndrome; Teacher Professional Development; Techniques; Time; Training; United States National Institutes of Health; Variant; Vasomotor; Woman; Women' s Health; Work; Wrist; actigraphy; cardiometabolism; career; data cleaning; data de-identification; data integration; demographics; diaries; experience; experimental study; health difference; human model; indexing; innovation; inter-individual variation; medical schools; neuroregulation; novel; poor sleep; programs; reproductive; reproductive senescence; response; sleep health; sleep onset; sleep quality; tool; vasomotor symptoms; web site

Timing, content, and duration of sleep are important for multiple physiological functions, including response to stress; body composition; neurological, cardiovascular, reproductive, and metabolic function; cognition; and mental health. Poor sleep can be both a cause and an outcome of disease: for example, poor sleep adversely affects health, particularly cardiometabolic health and cognitive processing, and many diseases/syndromes disrupt sleep. These potentially bidirectional associations are particularly salient in women, in whom insomnia prevalence rises with age, and in whom vasomotor “hot flashes” can disturb the sleep of peri- and postmenopausal women, thereby exacerbating stress and adverse health and cognitive outcomes, including susceptibility to dementia. A full understanding of women’s health therefore requires consideration of sleep as potential modifying and mediating factors, especially since there are wide inter-individual variations in self- selected sleep timing and duration. One innovation of the Brigham and Women’s Hospital/Harvard Medical School Center for Stress and Neural Regulation of Reproductive Aging Health Outcomes program is to include objective sleep metrics from complementary modalities in all experimental projects, including relevant projects funded through the Career Enhancement Core (CEC), thereby promoting interdisciplinary, collaborative, synergistic, and translational work. Building on our experience as national resources for many other NIH- supported research grants, the Sleep Resource Core (SRC) will collaborate with and be integrated into all Projects and the CEC by providing sleep-related expertise, equipment, and analyses. For human experimental studies, we will use wrist actigraphy and an online diary with questionnaires administered once or twice a day. The SRC will purchase, calibrate, and maintain actigraphy devices, as well as download, store, and process actigraphy data. We will manually clean and score actigraphy data and apply validated algorithms to extract quantitative measures. The online diary includes algorithms that perform real-time error checking, thereby increasing accuracy and decreasing data inconsistencies and data cleaning efforts. For mouse projects, the SRC will perform the surgeries and conduct and score polysomnographic sleep recordings. These objective and subjective sleep data will be used by each project to address their specific aims. The SRC will also (i) train and support staff in human and animal projects (including CEC Scholars and Pilot projects), ensuring high quality data collection; (ii) work actively with the CEC to provide data and expertise for CEC projects and train early investigators in sleep science; (iii) assist with the interpretation and integration of both subjective and objective sleep metrics with other exposures and covariates for all projects; and (iv) participate in manuscript preparation and results dissemination. Sleep data and analysis tools will be made available on the National Sleep Research Resource website. The SRC will be an integral and synergistic SCORE component by providing resources, equipment, expertise, and sleep data to all Projects and Cores.

睡眠的时间、内容和持续时间对多种生理功能都很重要，包括对 压力；身体成分；神经、心血管、生殖和代谢功能；认知；以及 心理健康。睡眠不佳既可能是疾病的原因，也可能是疾病的结果：例如，睡眠不佳对健康不利 影响健康，特别是心脏代谢健康和认知过程，以及许多疾病/综合征 扰乱睡眠。这些潜在的双向联系在失眠的女性中尤为明显 患病率随着年龄的增长而上升，血管运动性“潮热”会干扰围产期和老年人的睡眠 绝经后妇女，从而加剧压力以及不利的健康和认知后果，包括 易患痴呆症。因此，要充分了解女性的健康，就需要将睡眠视为 潜在的修饰和调节因素，特别是在自我意识存在广泛个体差异的情况下 选定的睡眠时间和持续时间。布里格姆妇女医院/哈佛医学院的一项创新 学校应激和神经调节生殖衰老健康结果计划是 在所有实验项目中包括来自互补模式的客观睡眠指标，包括相关 通过职业提升核心(CEC)资助的项目，从而促进跨学科、协作性、 协同工作和翻译工作。以我们作为国家资源的经验为基础，为许多其他NIH- 支持研究拨款，睡眠资源核心(SRC)将与所有人合作并融入其中 通过提供与睡眠相关的专业知识、设备和分析，为项目和CEC提供支持。用于人体实验 在研究中，我们将使用手腕动作记录仪和在线日记，每天进行一到两次问卷调查。 SRC将购买、校准和维护动作记录设备，以及下载、存储和处理 动作记录仪数据。我们将手动清理和评分活动数据，并应用经过验证的算法来提取 量化措施。在线日记包括执行实时错误检查的算法，从而 提高准确性，减少数据不一致和数据清理工作。对于鼠标项目，SRC 将进行手术，进行多导睡眠监测并为其评分。这些客观和客观的 每个项目将使用主观睡眠数据来解决其特定目标。 SRC还将(I)培训和支持人类和动物项目的工作人员(包括CEC学者和飞行员 项目)，确保高质量的数据收集；(2)积极与行政首长协调委员会合作，提供数据和专门知识 CEC项目和培训睡眠科学方面的早期研究人员；(3)协助解释和整合 主观和客观睡眠指标，以及所有项目的其他暴露和协变量；以及(Iv) 参与稿件准备和成果发布。将制作睡眠数据和分析工具 可在国家睡眠研究资源网站上找到。SRC将是一个整体和协同的分数 通过向所有项目和核心提供资源、设备、专业知识和休眠数据。