Institute of Behavioural Sciences, Semmelweis University, Budapest, Hungary.
PLoS One. 2023 Oct 19;18(10):e0288909. doi: 10.1371/journal.pone.0288909. eCollection 2023.
Sleep is both a neurophysiological state and a biologically necessary behavior that performs a variety of indispensable roles for human health, development, and cognitive functioning. Despite this, comparatively little is known about the relationships between daily experiences and sleep features. Importantly, these relationships are bidirectional in nature, may be differently associated with subjectively and objectively assessed sleep, and may also be modulated by individual differences To address this challenge, we created the Budapest Sleep, Experiences, and Traits Study (BSETS), a multidisciplinary observational sleep study utilizing novel remote EEG devices. BSETS was designed to establish a dataset for future use in investigating the relationships between sleep features and daily experiences. In this paper we describe the protocol of the currently ongoing BSETS, which examines a community-dwelling sample of over 250 healthy participants who are studied in a naturalistic setting using a large questionnaire assessing psychological, demographic, and anthropometric information, as well as evening/morning diaries of sleep and daily experiences, and mobile EEG recordings over a period of 7 days. This dataset will become an accessible resource to the wider scientific community and can be utilized to investigate the complex multidirectional relationships between objectively and subjectively measured sleep, daily experiences, and individual differences, bestowing it with significant value for sleep researchers as well as practitioners working in clinical settings with patients suffering from disordered sleep.
睡眠既是一种神经生理状态,也是一种生物学上必需的行为,它对人类的健康、发育和认知功能起着各种不可或缺的作用。尽管如此,人们对日常经历和睡眠特征之间的关系知之甚少。重要的是,这些关系本质上是双向的,可能与主观和客观评估的睡眠有不同的关联,并且可能也会受到个体差异的调节。为了解决这个挑战,我们创建了布达佩斯睡眠、经历和特征研究(BSETS),这是一项利用新型远程 EEG 设备的多学科观察性睡眠研究。BSETS 的设计目的是建立一个数据集,用于未来研究睡眠特征与日常经历之间的关系。在本文中,我们描述了当前正在进行的 BSETS 的方案,该研究对 250 多名健康社区居民进行了研究,他们在自然环境中使用大型问卷评估心理、人口统计学和人体测量信息,以及睡眠和日常经历的早晚日记,以及在 7 天内进行移动 EEG 记录。这个数据集将成为更广泛科学界的可访问资源,并可用于研究客观和主观测量的睡眠、日常经历和个体差异之间复杂的、多向的关系,这使其对睡眠研究人员以及在临床环境中与睡眠障碍患者合作的从业者具有重要价值。