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英国生物银行队列(n = 33356)中睡眠健康与灰质体积之间的关联。

Associations between sleep health and grey matter volume in the UK Biobank cohort ( = 33 356).

作者信息

Schiel Julian E, Tamm Sandra, Holub Florian, Petri Roxana, Dashti Hassan S, Domschke Katharina, Feige Bernd, Goodman Matthew O, Jones Samuel E, Lane Jacqueline M, Ratti Pietro-Luca, Ray David W, Redline Susan, Riemann Dieter, Rutter Martin K, Saxena Richa, Sexton Claire E, Tahmasian Masoud, Wang Heming, Weedon Michael N, Weihs Antoine, Kyle Simon D, Spiegelhalder Kai

机构信息

Department of Psychiatry and Psychotherapy, Faculty of Medicine, Medical Center-University of Freiburg, Hauptstraße 5, 79104 Freiburg, Germany.

Department of Clinical Neuroscience, Karolinska Institutet, Retzius väg 8, 17165 Stockholm, Sweden.

出版信息

Brain Commun. 2023 Jul 12;5(4):fcad200. doi: 10.1093/braincomms/fcad200. eCollection 2023.

Abstract

As suggested by previous research, sleep health is assumed to be a key determinant of future morbidity and mortality. In line with this, recent studies have found that poor sleep is associated with impaired cognitive function. However, to date, little is known about brain structural abnormalities underlying this association. Although recent findings link sleep health deficits to specific alterations in grey matter volume, evidence remains inconsistent and reliant on small sample sizes. Addressing this problem, the current preregistered study investigated associations between sleep health and grey matter volume (139 imaging-derived phenotypes) in the UK Biobank cohort (33 356 participants). Drawing on a large sample size and consistent data acquisition, sleep duration, insomnia symptoms, daytime sleepiness, chronotype, sleep medication and sleep apnoea were examined. Our main analyses revealed that long sleep duration was systematically associated with larger grey matter volume of basal ganglia substructures. Insomnia symptoms, sleep medication and sleep apnoea were not associated with any of the 139 imaging-derived phenotypes. Short sleep duration, daytime sleepiness as well as late and early chronotype were associated with solitary imaging-derived phenotypes (no recognizable pattern, small effect sizes). To our knowledge, this is the largest study to test associations between sleep health and grey matter volume. Clinical implications of the association between long sleep duration and larger grey matter volume of basal ganglia are discussed. Insomnia symptoms as operationalized in the UK Biobank do not translate into grey matter volume findings.

摘要

正如先前研究所表明的,睡眠健康被认为是未来发病和死亡的关键决定因素。与此一致的是,最近的研究发现睡眠不佳与认知功能受损有关。然而,迄今为止,对于这种关联背后的脑结构异常知之甚少。尽管最近的研究结果将睡眠健康缺陷与灰质体积的特定变化联系起来,但证据仍然不一致且依赖于小样本量。为了解决这个问题,当前这项预先注册的研究在英国生物银行队列(33356名参与者)中调查了睡眠健康与灰质体积(139种影像衍生表型)之间的关联。利用大样本量和一致的数据采集,对睡眠时间、失眠症状、日间嗜睡、昼夜节律类型、助眠药物和睡眠呼吸暂停进行了研究。我们的主要分析表明,睡眠时间长与基底节亚结构的灰质体积较大系统性相关。失眠症状、助眠药物和睡眠呼吸暂停与139种影像衍生表型中的任何一种均无关联。睡眠时间短、日间嗜睡以及晚睡型和早起型昼夜节律与单一的影像衍生表型相关(无可识别模式,效应量小)。据我们所知,这是测试睡眠健康与灰质体积之间关联的最大规模研究。讨论了睡眠时间长与基底节灰质体积较大之间关联的临床意义。英国生物银行中所定义的失眠症状并未转化为灰质体积方面的研究结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de27/10365832/79204747fe42/fcad200_ga1.jpg

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