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Quantifying and modeling the impact of mistimed and irregular sleep on health

量化和建模不合时宜和不规则的睡眠对健康的影响

基本信息

批准号：
423917010
负责人：
Dr. Dorothee Fischer
金额：
--
依托单位：
Institut für Luft- und Raumfahrtmedizin
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2018
资助国家：
德国
起止时间：
2017-12-31 至 2020-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/423917010?language=en
关键词：
Quantifying modeling impact mistimed irregular

项目摘要

The human circadian clock regulates virtually all bodily processes, ranging from gene expression and release of hormones to cognition and sleep. Circadian rhythms are evolutionarily adaptive because they allow synchronization of behaviors to the daily light-dark cycle. Today, however, circadian rhythms are challenged by modern lifestyles where electrical lighting allows us to stay active around the clock (e.g., night work in brightly lit facilities or use of electronic devices after sunset). The resulting conflict between biological drives and societal demands affects sleep-wake behavior, e.g., very early or late working times that end sleep prematurely or delay sleep onset, and thus result in sleep loss. While the detrimental effects of short sleep are by now beyond dispute, emerging findings suggest that the timing (sleep on- and offset) and regularity (consistency in the timing of sleep from one day to the next) may be just as important for health as sleep duration. Using two recent metrics – 'Composite Phase Deviation’ (CPD) and 'Sleep Regularity Index’ (SRI) – the proposed research project aims to (i) quantify a dose-response relationship of exposure to mistimed and irregular sleep with health outcomes in a Hispanic US population; and (ii) identify influencing factors and potential interventions using a physiology- based mathematical model. The two metrics (CPD and SRI) have been developed independently by the applicant, Dr. Dorothee Fischer, and her mentors on this project, Drs. Andrew Phillips and Elizabeth Klerman (Brigham and Women’s Hospital/Harvard Medical School, Boston, USA). In Objective 1, the CPD and SRI metrics will be applied to actimetry data of 1,912 participants of the “Sueño Ancillary Study” (age 19-66 years, 36% male) and used to examine the dose-response relationship with several health outcomes (e.g., hypertension and diabetes) in the same dataset. The Sueño study is a prospective multi-center cohort study that started in 2010 as part of the parent “Hispanic Community Health Study/Study of Latinos” to define the impact of poor sleep on health in Hispanic populations living in the US. In Objective 2, an established physiology-based mathematical model of human sleep and circadian rhythms will be used to understand how an individual’s physiology (e.g., circadian period) and their social/work constraints (e.g., working times, self- selected light exposure) interact to generate mistimed and irregular sleep patterns, providing the basis for future intervention designs, such as schedules that are tailored to individuals to protect against mistimed and irregular sleep. Ultimately, the proposed project aims at identifying targets for interventions to minimize exposure to mistimed and irregular sleep, and thereby reduce associated long-term health risks.

人类的生物钟几乎控制着所有的身体过程，从基因表达和激素释放到认知和睡眠。昼夜节律在进化上是自适应的，因为它们允许行为与每日的明暗周期同步。然而，今天，昼夜节律受到了现代生活方式的挑战，在现代生活方式中，电子照明使我们能够全天候保持活动(例如，在明亮的设施中夜间工作或在日落后使用电子设备)。由此产生的生物驱动力和社会需求之间的冲突会影响睡眠-觉醒行为，例如，很早或很晚的工作时间就会提前结束睡眠或推迟睡眠开始，从而导致睡眠缺失。虽然到目前为止，短时间睡眠的有害影响是毋庸置疑的，但新的发现表明，睡眠时间(睡眠时间和睡眠补偿)和规律(睡眠时间从一天到第二天的一致性)对健康的影响可能与睡眠时间一样重要。这项拟议的研究项目使用了两个最新的指标--“复合相位偏差”(CPD)和“睡眠规律性指数”(SRI)--旨在(I)量化美国拉美裔人群中暴露于错时和不规则睡眠与健康结果的剂量-反应关系；(Ii)使用基于生理学的数学模型确定影响因素和潜在的干预措施。这两个指标(CPD和SRI)由申请者DorotheFischer博士及其该项目的导师Andrew Phillips博士和Elizabeth Klerman博士(美国波士顿布里格姆妇女医院/哈佛医学院)独立制定。在目标1中，CPD和SRI指标将应用于“Sueño辅助研究”的1912名参与者(年龄19-66岁，36%为男性)的运动测量数据，并用于检查同一数据集中几种健康结果(例如高血压和糖尿病)的剂量-反应关系。Sueño研究是一项前瞻性的多中心队列研究，该研究始于2010年，是母公司“拉美裔社区健康研究/拉美裔研究”的一部分，目的是确定睡眠不佳对居住在美国的拉美裔人口健康的影响。在目标2中，建立的基于生理的人类睡眠和昼夜节律的数学模型将被用来理解个体的生理(例如，昼夜节律)和他们的社会/工作限制(例如，工作时间、自我选择的光暴露)如何相互作用以产生错时和不规则的睡眠模式，为未来的干预设计提供基础，例如为防止错时和不规则睡眠而为个体量身定做的时间表。最终，拟议的项目旨在确定干预目标，以最大限度地减少不当和不规律睡眠的暴露，从而减少相关的长期健康风险。