Environmental Exposures & Sleep in the Nurses' Health Study 3

环境暴露

• 批准号: 10677271
• 负责人: Cindy Robin Hu
• 金额: $ 4.54万
• 依托单位: HARVARD SCHOOL OF PUBLIC HEALTH
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-05-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10677271
• 关键词: 18 year old; Accelerometer; Address; Adult; Affect; Agreement; Air Pollution; Anxiety; Arts; Behavior; Cardiovascular Diseases; Centers for Disease Control and Prevention (U.S.); Chronic; Cognition; Complex; Development; Diabetes Mellitus; Environment; Environmental Epidemiology; Environmental Exposure; Environmental Health; Exposure to; Fellowship; Female; Future; Geographic Distribution; Geography; Goals; Gold Alloys; Green space; Health; Health Status; Health Technology; Health behavior; Hour; Human; Humidity; Individual; Investigation; Joints; Light; Link; Location; Longitudinal cohort; Maintenance; Measurement; Measures; Mediating; Mediation; Mental Depression; Mental Health; Mentorship; Metabolic; Neighborhoods; Nurses; Nurses' Health Study; Nursing Students; Obesity; Outcome; Pathway interactions; Patient Self-Report; Performance; Physical activity; Physiological; Polysomnography; Population; Positioning Attribute; Process; Prospective cohort; Public Health Schools; Recommendation; Recording of previous events; Recovery; Reporting; Research; Resources; Risk; Risk Factors; Role; Science; Seasons; Shapes; Sleep; Sleep Deprivation; Socioeconomic Status; Source; Temperature; Time; Training; United States; Universities; Validation; Woman; Wrist; actigraphy; built environment; cohort; doctoral student; epidemiology study; experience; fitbit; graduate school; health data; health determinants; insight; interest; mHealth; male; men; physical conditioning; population health; pre-doctoral; public health intervention; repaired; sleep health; smartphone application; social; tool; walkability; wearable device

PROJECT SUMMARY The goal of this F31 fellowship application is to support and promote the training of Cindy R. Hu, currently a pre-doctoral student in the Department of Environmental Health of the Harvard TH Chan School of Public Health and the Graduate School of Arts and Sciences at Harvard University. Her long-term research interests focus on the associations of multiple environmental exposures on sleep. Ms. Hu has assembled a group of leading experts as her Sponsors and Co-Sponsors including Drs. Jaime Hart, Brent Coull, Peter James, and Susan Redline. Sleep is an important component of human health; it is a process that serves key functions in cognition, performance, physiological repair, and recovery. Inadequate sleep has been linked to many physical health outcomes like cardiovascular disease, diabetes, and obesity, as well as mental health outcomes such as anxiety and depression. A nation-wide analysis showed an uneven geographic distribution of insufficient sleep across the US; this geographic variability may be explained by a confluence of social and environmental determinants of health. Environmental exposures that shape one’s sleeping environment as well as exposures that are experienced during wake can impact sleep health. Of particular interest due to their modifiability are built environment factors, such as light at night, neighborhood greenspace, and walkability have been shown to affect sleep. Currently, environmental epidemiological studies of sleep often rely on self-reported measures of sleep. The development of mobile health technologies provides an opportunity to quantitatively measure sleep in ecologically valid and free-living (i.e. non-laboratory) conditions on a larger scale, but requires validation against research standards. In addition to quantitative assessments of sleep, mobile health data can provide rich information on GPS location and behaviors like physical activity, which allow for investigation of mechanisms that link environmental exposures to sleep. Another key aspect of furthering our understanding of how the environment impacts sleep is the utilization of an exposomic framework; to our knowledge, no study has examined the effects of multiple exposures on sleep. Using the unique resources of the Nurses’ Health Study 3 (NHS3) longitudinal cohort, Ms. Hu will receive extensive training in multiple aspects of exploring the impacts of the environment on sleep, ranging from how to compare objective measures from multiple sources (Aim 1), using mobile health panel studies to examine associations between features of the built environment on sleep outcomes (Aim 2), and how to scale these insights to a full cohort of US women and men (Aim 3). This will position her to be a future leader in the field of the environment and sleep through high-quality mentorship and extensive professional development opportunities.

项目摘要 该F31奖学金申请的目标是支持和促进辛迪·R·胡（Cindy R. Hu）的培训，目前是 哈佛大学TH Chan公共卫生学院环境卫生系的博士前学生 以及哈佛大学的艺术与科学研究生院。她的长期研究兴趣着重于 多种环境暴露在睡眠中的关联。胡女士聚集了​​一群领先 专家作为她的赞助商和包括DRS在内的共同发起人。 Jaime Hart，Brent Coull，Peter James和Susan 红线。睡眠是人类健康的重要组成部分；这是一个在认知中起关键功能的过程， 性能，身体修复和恢复。睡眠不足与许多身体健康有关 诸如心血管疾病，糖尿病和肥胖症以及心理健康结果（例如焦虑）等结果 和抑郁。全国范围内的分析显示，整个睡眠不足的地理分布不足 美国这种地理变异性可以通过社会和环境决定者的融合来解释 健康。环境暴露塑造一个人的睡眠环境以及曝光 唤醒期间经历会影响睡眠健康。由于其可修改性而特别感兴趣 环境因素，例如夜间光，邻里绿色空间和行走性 影响睡眠。目前，对睡眠的环境流行病学研究通常取决于自我报告的措施 睡觉。移动健康技术的开发提供了一个定量测量睡眠的机会 在生态有效和自由生活（即非实验室）条件中，需要验证 符合研究标准。除了对睡眠的定量评估外，移动健康数据还可以提供 有关GPS位置和诸如体育锻炼的行为的丰富信息，这些信息允许投资 将环境暴露与睡眠联系起来的机制。进一步了解我们对 环境如何影响睡眠是扩展框架的利用；据我们所知，没有学习 已经检查了多种暴露对睡眠的影响。利用护士健康的独特资源 研究3（NHS3）纵向队列，胡女士将在探索的多个方面接受广泛的培训 环境对睡眠的影响，从如何比较来自多个来源的客观措施 （AIM 1），使用移动健康面板研究检查建筑环境的特征之间的关联 关于睡眠结果（AIM 2），以及如何将这些见解扩展到美国的全男女队列（AIM 3）。这 将把她定位为环境领域的未来领导者，并通过高质量的心态入睡 和广泛的专业发展机会。