Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA; Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Department of Biostatistics, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Sleep Health. 2024 Aug;10(4):500-507. doi: 10.1016/j.sleh.2024.02.002. Epub 2024 May 1.
Many sleep-wake behaviors have been associated with cognition. We examined a panel of sleep-wake/activity characteristics to determine which are most robustly related to having low cognitive performance in midlife. Secondarily, we evaluate the predictive utility of sleep-wake measures to screen for low cognitive performance.
The outcome was low cognitive performance defined as being >1 standard deviation below average age/sex/education internally normalized composite cognitive performance levels assessed in the Hispanic Community Health Study/Study of Latinos. Analyses included 1006 individuals who had sufficient sleep-wake measurements about 2years later (mean age=54.9, standard deviation= 5.1; 68.82% female). We evaluated associations of 31 sleep-wake variables with low cognitive performance using separate logistic regressions.
In individual models, the strongest sleep-wake correlates of low cognitive performance were measures of weaker and unstable 24-hour rhythms; greater 24-hour fragmentation; longer time-in-bed; and lower rhythm amplitude. One standard deviation worse on these sleep-wake factors was associated with ∼20%-30% greater odds of having low cognitive performance. In an internally cross-validated prediction model, the independent correlates of low cognitive performance were: lower Sleep Regularity Index scores; lower pseudo-F statistics (modellability of 24-hour rhythms); lower activity rhythm amplitude; and greater time in bed. Area under the curve was low/moderate (64%) indicating poor predictive utility.
The strongest sleep-wake behavioral correlates of low cognitive performance were measures of longer time-in-bed and irregular/weak rhythms. These sleep-wake assessments were not useful to identify previous low cognitive performance. Given their potential modifiability, experimental trials could test if targeting midlife time-in-bed and/or irregular rhythms influences cognition.
许多睡眠-觉醒行为与认知有关。我们检查了一组睡眠-觉醒/活动特征,以确定哪些与中年认知表现较差最密切相关。其次,我们评估睡眠-觉醒测量对认知表现较差的预测效用。
结果是认知表现较差,定义为内部归一化复合认知表现水平低于平均年龄/性别/教育水平>1 个标准差,在西班牙裔社区健康研究/拉丁裔研究中评估。分析包括 1006 名在大约 2 年后有足够睡眠-觉醒测量的个体(平均年龄=54.9,标准差=5.1;68.82%为女性)。我们使用单独的逻辑回归评估 31 个睡眠-觉醒变量与认知表现较差的关联。
在个体模型中,与认知表现较差最密切相关的睡眠-觉醒特征是 24 小时节律较弱和不稳定的指标;24 小时碎片化程度更高;卧床时间更长;以及节律幅度更低。这些睡眠-觉醒因素的一个标准差变差与认知表现较差的几率增加约 20%-30%相关。在内部交叉验证的预测模型中,认知表现较差的独立相关因素是:较低的睡眠规律性指数评分;较低的伪 F 统计量(24 小时节律的可模拟性);较低的活动节律幅度;以及卧床时间更长。曲线下面积低/中度(64%)表明预测效用较差。
与认知表现较差最密切相关的最强睡眠-觉醒行为特征是卧床时间较长和不规则/微弱的节律。这些睡眠-觉醒评估对于识别以前的认知表现较差并不有用。鉴于它们可能具有可调节性,实验性试验可以测试如果针对中年卧床时间和/或不规则节律是否会影响认知。