Brain Research Imaging Centre, Division of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE), UK; Department of Computer Science, Lagos State University, Lagos, Nigeria.
Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Sleep Medicine, Royal Infirmary of Edinburgh, NHS Lothian, UK.
Sleep Med. 2020 Jan;65:152-158. doi: 10.1016/j.sleep.2019.07.015. Epub 2019 Jul 24.
Sleep is important for brain health. We analysed associations between usual sleep habits and magnetic resonance imaging (MRI) markers of neurodegeneration (brain atrophy), vascular damage (white matter hyperintensities, WMH) and waste clearance (perivascular spaces, PVS) in older community-dwelling adults.
We collected self-reported usual sleep duration, quality and medical histories from the Lothian Birth Cohort 1936 (LBC1936) age 76 years and performed brain MRI. We calculated sleep efficiency, measured WMH and brain volumes, quantified PVS, and assessed associations between sleep measures and brain markers in multivariate models adjusted for demographic and medical history variables.
In 457 subjects (53% males, mean age 76 ± 0.65 years), we found: brain and white matter loss with increased weekend daytime sleep (β = -0.114, P = 0.03; β = -0.122, P = 0.007 respectively), white matter loss with less efficient sleep (β = 0.132, P = 0.011) and PVS increased with interrupted sleep (OR 1.84 95% CI, P = 0.025).
Cross-sectional associations of sleep parameters with brain atrophy and more PVS suggest adverse relationships between usual sleep habits and brain health in older people that should be evaluated longitudinally.
睡眠对大脑健康很重要。我们分析了老年人中常见的睡眠习惯与磁共振成像（MRI）神经退行性变（脑萎缩）、血管损伤（脑白质高信号，WMH）和废物清除（血管周围间隙，PVS）标志物之间的关联。
我们从洛锡安出生队列 1936 年（LBC1936）中收集了 76 岁时的自我报告的通常睡眠时间、质量和病史，并进行了脑部 MRI 检查。我们计算了睡眠效率，测量了 WMH 和脑容量，量化了 PVS，并在调整了人口统计学和病史变量的多变量模型中评估了睡眠指标与脑标志物之间的关联。
在 457 名受试者（53%为男性，平均年龄 76 ± 0.65 岁）中，我们发现：周末白天睡眠时间增加与脑和白质丢失有关（β=-0.114，P=0.03；β=-0.122，P=0.007），睡眠效率降低与白质丢失有关（β=0.132，P=0.011），睡眠中断与 PVS 增加有关（OR 1.84 95%CI，P=0.025）。
睡眠参数与脑萎缩和更多 PVS 的横断面关联表明，老年人中常见的睡眠习惯与大脑健康之间存在不良关系，应进行纵向评估。
