De Looze Céline, Feeney Joanne C, Scarlett Siobhan, Hirst Rebecca, Knight Silvin P, Carey Daniel, Meaney James F, Kenny Rose Anne
The Irish Longitudinal Study on Ageing, Trinity College Dublin, Dublin, Ireland.
The National Centre for Advanced Medical Imaging (CAMI), St James's Hospital, Dublin, Ireland.
Sleep. 2022 Jan 11;45(1). doi: 10.1093/sleep/zsab241.
This study examines the cross-sectional and 2-year follow-up relationships between sleep and stress and total hippocampal volume and hippocampal subfield volumes among older adults.
Four hundred seventeen adults (aged 68.8 ± 7.3; 54% women) from the Irish Longitudinal Study on Ageing completed an interview, a questionnaire, and multiparametric brain magnetic resonance imaging. The relationships between self-reported sleep duration, sleep problems, perceived stress, and total hippocampal volume were examined by using ordinary least squares regressions. Linear mixed-effects models were used to investigate the relationships between sleep duration, sleep problems, perceived stress, changes in these measures over 2-years, and hippocampal subfield volumes.
No cross-sectional and follow-up associations between sleep and total hippocampal volume and between stress and total hippocampal volume were found. By contrast, Long sleep (≥9-10 h/night) was associated with smaller volumes of molecular layer, hippocampal tail, presubiculum, and subiculum. The co-occurrence of Short sleep (≤6 h) and perceived stress was associated with smaller cornu ammonis 1, molecular layer, subiculum, and tail. Sleep problems independently and in conjunction with higher stress, and increase in sleep problems over 2 years were associated with smaller volumes of these same subfields.
Our study highlights the importance of concurrently assessing suboptimal sleep and stress for phenotyping individuals at risk of hippocampal subfield atrophy.
本研究探讨老年人睡眠与压力之间的横断面关系以及2年随访关系,以及它们与海马总体积和海马亚区体积之间的关系。
来自爱尔兰老龄化纵向研究的417名成年人(年龄68.8±7.3岁;54%为女性)完成了一次访谈、一份问卷和多参数脑磁共振成像。使用普通最小二乘法回归分析自我报告的睡眠时间、睡眠问题、感知压力与海马总体积之间的关系。线性混合效应模型用于研究睡眠时间、睡眠问题、感知压力、这些指标在2年内的变化与海马亚区体积之间的关系。
未发现睡眠与海马总体积之间以及压力与海马总体积之间的横断面和随访关联。相比之下,长睡眠(≥9 - 10小时/晚)与分子层、海马尾部、前扣带回和下托体积较小有关。短睡眠(≤6小时)与感知压力同时出现与海马1角、分子层、下托和尾部体积较小有关。睡眠问题单独以及与更高压力共同作用,以及2年内睡眠问题的增加与这些相同亚区的体积较小有关。
我们的研究强调了同时评估睡眠不足和压力对于识别有海马亚区萎缩风险个体的表型特征的重要性。