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睡眠不一致与炎症标志物

Sleep Inconsistency and Markers of Inflammation.

作者信息

Dzierzewski Joseph M, Donovan Emily K, Kay Daniel B, Sannes Timothy S, Bradbrook Keighly E

机构信息

Department of Psychology, Virginia Commonwealth University, Richmond, VA, United States.

Department of Psychology, Brigham Young University, Provo, UT, United States.

出版信息

Front Neurol. 2020 Sep 16;11:1042. doi: 10.3389/fneur.2020.01042. eCollection 2020.

Abstract

Poor sleep is associated with higher levels of inflammatory biomarkers. Conventionally, higher average time awake, lower average time asleep, and lower sleep efficiency define poor sleep. Recent research suggests that, in addition to average sleep, sleep inconsistency is an important indicator of sleep dysfunction. The current study sought to extend our knowledge of the relationship between sleep and inflammation through an examination of sleep inconsistency and inflammatory biomarkers. Secondary analyses of the Survey of Midlife in the United States (MIDUS) sleep study were conducted. Five hundred thirty-three individuals completed nightly sleep diaries, actigraphy, and underwent a blood draw for the inflammatory biomarkers C-reactive protein, interleukin-6, and fibrinogen. Sleep inconsistency was derived from 7 consecutive nights of assessment and was operationalized as nightly fluctuations in the following variables: terminal wakefulness, number of awakenings, time in bed, sleep onset latency, and wake after sleep onset. Structural equation modeling was used to examine the influence of a latent average sleep and a latent sleep inconsistency variable on a latent inflammation variable. Models were subsequently adjusted for age, sex, BMI, health, and medication. Stratified models by sex were also analyzed. The average sleep model would not converge. The sleep inconsistency model fit the data well. A significant positive association between the latent factors sleep inconsistency and inflammation was observed (β = 10.18, = 4.40, = 0.021), suggesting inconsistent sleep is associated with higher levels of inflammatory biomarkers. When stratified by sex, the association between the latent sleep inconsistency factor and inflammation was significant for women (β = 1.93, = 0.82, = 0.018), but not men (β = 0.20, = 0.35, = 0.566). The association between sleep inconsistency and inflammation weakened following multivariate adjustment (β = 6.23, = 3.71, = 0.093). Inconsistent sleep may be an associated feature of inflammatory dysfunction, especially in women. Future studies should build upon this preliminary work and examine these associations longitudinally and through treatment trials.

摘要

睡眠质量差与较高水平的炎症生物标志物有关。传统上,平均清醒时间较长、平均睡眠时间较短以及睡眠效率较低被定义为睡眠质量差。最近的研究表明,除了平均睡眠外,睡眠不一致性是睡眠功能障碍的一个重要指标。当前的研究试图通过检查睡眠不一致性和炎症生物标志物来扩展我们对睡眠与炎症之间关系的认识。对美国中年调查(MIDUS)睡眠研究进行了二次分析。533名个体完成了每晚的睡眠日记、活动记录仪监测,并接受了血液检测以获取炎症生物标志物C反应蛋白、白细胞介素-6和纤维蛋白原。睡眠不一致性源自连续7晚的评估,并通过以下变量的夜间波动来衡量:终末觉醒、觉醒次数、卧床时间、入睡潜伏期和睡眠中觉醒时间。采用结构方程模型来检验潜在平均睡眠和潜在睡眠不一致性变量对潜在炎症变量的影响。随后对模型进行了年龄、性别、体重指数、健康状况和药物治疗的调整。还分析了按性别分层的模型。平均睡眠模型无法收敛。睡眠不一致性模型与数据拟合良好。观察到潜在因素睡眠不一致性与炎症之间存在显著正相关(β = 10.18,SE = 4.40,p = 0.021),表明睡眠不一致与较高水平的炎症生物标志物有关。按性别分层时,潜在睡眠不一致因素与炎症之间的关联在女性中显著(β = 1.93,SE = 0.82,p = 0.018),但在男性中不显著(β = 0.20,SE = 0.35,p = 0.566)。多变量调整后,睡眠不一致性与炎症之间的关联减弱(β = 6.23,SE = 3.71,p = 0.093)。睡眠不一致可能是炎症功能障碍的一个相关特征,尤其是在女性中。未来的研究应基于这项初步工作,纵向并通过治疗试验来检验这些关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a90/7525126/9825b9738e56/fneur-11-01042-g0001.jpg

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