Orygen, Parkville, Australia.
Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia.
Psychol Med. 2024 Jul;54(9):2254-2263. doi: 10.1017/S0033291724000400. Epub 2024 Mar 7.
Pre-diagnostic stages of psychotic illnesses, including 'clinical high risk' (CHR), are marked by sleep disturbances. These sleep disturbances appear to represent a key aspect in the etiology and maintenance of psychotic disorders. We aimed to examine the relationship between self-reported sleep dysfunction and attenuated psychotic symptoms (APS) on a day-to-day basis.
Seventy-six CHR young people completed the Experience Sampling Methodology (ESM) component of the European Union Gene-Environment Interaction Study, collected through PsyMate® devices, prompting sleep and symptom questionnaires 10 times daily for 6 days. Bayesian multilevel mixed linear regression analyses were performed on time-variant ESM data using the package in R. We investigated the day-to-day associations between sleep and psychotic experiences bidirectionally on an item level. Sleep items included sleep onset latency, fragmentation, and quality. Psychosis items assessed a range of perceptual, cognitive, and bizarre thought content common in the CHR population.
Two of the seven psychosis variables were unidirectionally predicted by previous night's number of awakenings: every unit increase in number of nightly awakenings predicted a 0.27 and 0.28 unit increase in feeling unreal or paranoid the next day, respectively. No other sleep variables credibly predicted next-day psychotic symptoms or vice-versa.
In this study, the relationship between sleep disturbance and APS appears specific to the item in question. However, some APS, including perceptual disturbances, had low levels of endorsement amongst this sample. Nonetheless, these results provide evidence for a unidirectional relationship between sleep and some APS in this population.
精神病的前驱阶段,包括“临床高风险”(CHR),以睡眠障碍为特征。这些睡眠障碍似乎代表了精神病发病和维持的一个关键方面。我们旨在研究每日自我报告的睡眠功能障碍与减弱的精神病症状(APS)之间的关系。
76 名 CHR 年轻人完成了欧盟基因-环境相互作用研究的经验抽样法(ESM)部分,通过 PsyMate®设备收集,每天提示睡眠和症状问卷 10 次,持续 6 天。使用 R 中的 包对时变 ESM 数据进行贝叶斯多级混合线性回归分析。我们在项目级别上双向研究了睡眠和精神病体验之间的日常关联。睡眠项目包括入睡潜伏期、碎片化和质量。精神病项目评估了 CHR 人群中常见的一系列知觉、认知和奇异思维内容。
七个精神病变量中的两个被前一晚的觉醒次数单向预测:每晚觉醒次数增加一个单位,第二天分别预测感觉不真实或偏执的程度增加 0.27 和 0.28 个单位。没有其他睡眠变量可可靠地预测第二天的精神病症状或反之亦然。
在这项研究中,睡眠障碍与 APS 之间的关系似乎特定于所讨论的项目。然而,在这个样本中,一些 APS,包括知觉障碍,其认同度较低。尽管如此,这些结果为该人群中睡眠与某些 APS 之间的单向关系提供了证据。