Yousefzadehfard Yashar, Wechsler Bennett, DeLorenzo Christine
Center for Understanding Biology Using Imaging Technology, Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA.
Department of Psychiatry, Texas Tech University Health Science Center, Midland, TX, USA.
Neurobiol Sleep Circadian Rhythms. 2022 Aug 8;13:100080. doi: 10.1016/j.nbscr.2022.100080. eCollection 2022 Nov.
As interest in circadian rhythms and their effects continues to grow, there is an increasing need to perform circadian studies in humans. Although the constant routine is the gold standard for these studies, there are advantages to performing more naturalistic studies. Here, a review of protocols for such studies is provided along with sample inclusion and exclusion criteria. Sleep routines, drug use, shift work, and menstrual cycle are addressed as screening considerations. Regarding protocol, best practices for measuring melatonin, including light settings, posture, exercise, and dietary habits are described. The inclusion/exclusion recommendations and protocol guidelines are intended to reduce confounding variables in studies that do not involve the constant routine. Given practical limitations, a range of recommendations is provided from stringent to lenient. The scientific rationale behind these recommendations is discussed. However, where the science is equivocal, recommendations are based on empirical decisions made in previous studies. While not all of the recommendations listed may be practical in all research settings and with limited potential participants, the goal is to allow investigators to make well informed decisions about their screening procedures and protocol techniques and to improve rigor and reproducibility, in line with the objectives of the National Institutes of Health.
随着对昼夜节律及其影响的兴趣持续增长,对人体进行昼夜节律研究的需求也日益增加。尽管持续常规方案是这些研究的金标准,但进行更自然主义的研究也有其优势。本文提供了此类研究方案的综述以及样本纳入和排除标准。睡眠习惯、药物使用、轮班工作和月经周期作为筛选考虑因素进行了探讨。关于方案,描述了测量褪黑素的最佳实践,包括光照设置、姿势、运动和饮食习惯。纳入/排除建议和方案指南旨在减少不涉及持续常规方案的研究中的混杂变量。考虑到实际限制,提供了从严格到宽松的一系列建议。讨论了这些建议背后的科学原理。然而,在科学依据不明确的情况下,建议基于先前研究中做出的经验性决策。虽然列出的并非所有建议在所有研究环境中以及潜在参与者有限的情况下都可行,但目标是让研究人员能够就其筛选程序和方案技术做出明智的决策,并提高严谨性和可重复性,这与美国国立卫生研究院的目标一致。