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，包括对睡眠的反应。 压力;身体成分;神经、心血管、生殖和代谢功能;认知;以及 心理健康睡眠不好既可以是疾病的原因，也可以是疾病的结果：例如，睡眠不好对健康不利。 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。这些潜在的双向关联在女性中尤为突出， 患病率随着年龄的增长而上升，在这些人中，血管炎"潮热"会扰乱睡眠， 绝经后妇女，从而加剧压力和不利的健康和认知结果，包括 易患痴呆症因此，要全面了解女性的健康状况，就需要将睡眠视为一种重要的因素。 潜在的修改和调解因素，特别是因为有广泛的个体间的差异，在自我， 选择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 学校中心的压力和神经调节生殖衰老健康成果计划是 包括来自所有实验项目中补充模式的客观睡眠指标， 通过职业提升核心（CEC）资助的项目，从而促进跨学科，协作， 协同和转化工作。基于我们作为许多其他NIH国家资源的经验， 支持的研究经费，睡眠资源核心（SRC）将合作，并纳入所有 项目和CEC通过提供睡眠相关的专业知识，设备和分析。用于人体实验 研究中，我们将使用腕关节活动记录仪和在线日记，每天进行一次或两次问卷调查。 SRC将购买、校准和维护体动记录设备，以及下载、存储和处理 腕动记录数据。我们将手动清理和评分体动记录数据，并应用经验证的算法提取 量化措施。在线日志包括执行实时错误检查的算法，从而 提高准确性并减少数据不一致和数据清理工作。对于鼠标项目，SRC 将进行手术并进行多导睡眠记录并评分。这些目标和 每个项目都将使用主观睡眠数据来实现其特定目标。 SRC还将（i）培训和支持人类和动物项目的工作人员（包括CEC学者和试点 （ii）与中央环境委员会积极合作，为下列机构提供数据和专门知识： CEC项目和培训睡眠科学的早期研究人员;（iii）协助解释和整合 主观和客观睡眠指标与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传播。睡眠数据和分析工具将被制作出来 在国家睡眠研究资源网站上。SRC将是一个整体和协同的SCORE 通过向所有项目和核心提供资源、设备、专业知识和睡眠数据，