Environmental Exposures & Sleep in the Nurses' Health Study 3

项目总结 此F31奖学金申请的目标是支持和促进辛迪·R·胡的培训，她目前是 哈佛大学陈天佑公共卫生学院环境卫生系博士后 以及哈佛大学艺术与科学研究生院。她的长期研究兴趣集中在 多种环境暴露对睡眠的影响。胡女士召集了一群领先的 作为她的赞助商和共同赞助商的专家包括Jaime Hart博士、Brent Coull博士、Peter James和Susan 红线。睡眠是人类健康的重要组成部分；它是一个在认知中起关键作用的过程， 表现、生理修复和恢复。睡眠不足与许多身体健康有关。 结果，如心血管疾病、糖尿病和肥胖，以及精神健康结果，如焦虑 和抑郁症。一项全国性的分析显示，睡眠不足的地理分布不均衡。 美国；这种地理差异可以用社会和环境决定因素的汇合来解释 关于健康的。塑造一个人睡眠环境的环境暴露以及 清醒时的经历会影响睡眠健康。由于其可修改性而特别感兴趣的构建 环境因素，如夜间光线、社区绿地和是否适合步行，已被证明 影响睡眠。目前，对睡眠的环境流行病学研究通常依赖于自我报告的睡眠指标 睡吧。移动健康技术的发展为定量测量睡眠提供了机会 在更大范围内的生态有效和自由生活(即非实验室)条件下，但需要验证 违反研究标准。除了睡眠的定量评估外，移动健康数据还可以提供 关于GPS位置和行为(如体力活动)的丰富信息，允许调查 将环境暴露与睡眠联系起来的机制。加深对我们的理解的另一个关键方面 环境是如何影响睡眠的是对暴露框架的利用；据我们所知，没有研究 研究了多次暴露对睡眠的影响。发挥护士独特的健康资源作用 研究3(NHS3)纵向队列，胡女士将接受多方面的广泛培训，探索 环境对睡眠的影响，包括如何比较来自多个来源的客观指标 (目标1)，使用移动健康小组研究来检查建筑环境特征之间的关联 关于睡眠结果(目标2)，以及如何将这些见解推广到美国女性和男性的全队列(目标3)。这 将使她成为未来环境和睡眠领域的领导者，通过高质量的指导 和广泛的职业发展机会。

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.