通过脑电图的定量功率谱分析确定的睡眠微体系结构参数已被提出作为认知功能障碍的潜在脑特异性标志物。然而,来自社区样本的数据仍然有限。这项研究调查了社区居住男性的睡眠微结构与认知功能障碍之间的横断面关联。
FloreyAdelaide男性老龄研究参与者(n=477)接受了基于家庭的多导睡眠图(2010-2011)。在排除伪影后,使用定量功率谱分析处理整夜的脑电图记录。认知测试(2007-2010)包括检查时间任务,跟踪测试A和B,和Fuld对象记忆评估。完整的病例认知,多导睡眠图,和协变量数据在366名男性中可用。控制人口统计的多变量线性回归模型,生物医学,和行为混杂因素决定了睡眠微结构和认知功能障碍总体之间以及年龄分层亚组之间的横断面关联。
在整个样本中,较差的示踪测试A表现与较高的快速眼动(REM)θ和α和非REMθ相关,但较低的δ功率(所有P<0.05)。在≥65岁的男性中,较差的示踪测试A表现与较低的非REM增量相关,但较高的非REM和REMθ和α功率相关(所有P<.05)。此外,男性≥65岁,较差的示踪测试B表现与较低的REMdelta但较高的theta和alpha幂相关(所有P<0.05)。
睡眠微体系结构参数可能代表认知功能障碍的重要大脑特异性标志物,特别是在社区居住的老年人中。因此,这项研究扩展了新兴的基于社区的队列文献,该文献涉及睡眠微结构和认知功能障碍之间潜在的重要联系.睡眠微体系结构用于预测前瞻性认知功能障碍和衰退的实用性值得进一步研究。
帕克JL,阿普尔顿SL,MelakuYA,etal.中老年男性睡眠微结构与认知功能之间的关联:一项基于社区的队列研究。JClinSleepMed.2022年;18(6):1593-1608。
Sleep microarchitecture parameters determined by quantitative power spectral analysis of electroencephalograms have been proposed as potential brain-specific markers of cognitive dysfunction. However, data from community samples remain limited. This study examined cross-sectional associations between sleep microarchitecture and cognitive dysfunction in community-dwelling men.
Florey Adelaide Male Ageing Study participants (n = 477) underwent home-based polysomnography (2010-2011). All-night electroencephalogram recordings were processed using quantitative power spectral analysis following artifact exclusion. Cognitive testing (2007-2010) included the inspection time task, Trail-Making Tests A and B, and Fuld object memory evaluation. Complete case cognition, polysomnography, and covariate data were available in 366 men. Multivariable linear regression models controlling for demographic, biomedical, and behavioral confounders determined cross-sectional associations between sleep microarchitecture and cognitive dysfunction overall and by age-stratified subgroups.
In the overall sample, worse Trail-Making Test A performance was associated with higher rapid eye movement (REM) theta and alpha and non-REM theta but lower delta power (all P < .05). In men ≥ 65 years, worse Trail-Making Test A performance was associated with lower non-REM delta but higher non-REM and REM theta and alpha power (all P < .05). Furthermore, in men ≥ 65 years, worse Trail-Making Test B performance was associated with lower REM delta but higher theta and alpha power (all P < .05).
Sleep microarchitecture parameters may represent important brain-specific markers of cognitive dysfunction, particularly in older community-dwelling men. Therefore, this study extends the emerging community-based cohort literature on a potentially important link between sleep microarchitecture and cognitive dysfunction. The utility of sleep microarchitecture for predicting prospective cognitive dysfunction and decline warrants further investigation.
Parker JL, Appleton SL, Melaku YA, et al. The association between sleep microarchitecture and cognitive function in middle-aged and older men: a community-based cohort study. J Clin Sleep Med. 2022;18(6):1593-1608.