Research Group for Math-Modeling of Biomedical Systems, Research Institute for Molecular Biology and Biophysics of the Federal Research Center for Fundamental and Translational Medicine, Novosibirsk, Russia; Laboratory of Sleep/Wake Neurobiology, Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences, Moscow, Russia.
Laboratory of Nanobiotechnology and Biophysics of the North-Caucasus Federal University, Stavropol, Russia.
Acta Psychol (Amst). 2021 Jun;217:103327. doi: 10.1016/j.actpsy.2021.103327. Epub 2021 May 10.
A multidimensional approach has been previously applied for modeling and assessment of individual differences in the ability to sleep or to stay awake at certain clock hours. More recently the 19 time-point Visuo-verbal Judgment Task (VJT) has been proposed to predict changes in sleepiness level from the morning hours to the next day afternoon. The dimensionality of the VJT has not been explored so far. We applied a structural model of individual variation in sleep-wake behavior and habits for explaining the pattern of relationship between the VJT's dimensions yielded by rotation of principal components with eigenvalue>1. The responses to 19 items of the VJT, 72 items of 6-scale Sleep Wake Pattern Assessment Questionnaire (SWPAQ) and 60 items of 6-scale Sleep-Wake Adaptability Test (SWAT) were collected from 1037 survey participants. Factor analyses yielded 4 factorial dimensions of morning (08:00-11:00), daytime (12:00-20:00), nighttime (21:00-04:00), and after 24 h sleepiness (06:00-12:00 next day). The model was found to be capable to explain the correlations among 4 constructs of the VJT as well as the correlations among previously developed scales of the SWPAQ and SWAT. The results confirmed the predictive power of the model and its applicability for multidimensional assessments in chronobiological and chronopsychological studies.
先前已经应用了多维方法来建模和评估在特定时钟时间入睡或保持清醒的能力的个体差异。最近,提出了 19 时间点视-语言判断任务(VJT)来预测从早晨到第二天下午的困倦水平变化。迄今为止,尚未探索 VJT 的维度。我们应用了睡眠-觉醒行为和习惯的个体变异的结构模型,用于解释主成分旋转产生的 VJT 维度之间的关系模式,主成分的特征值>1。从 1037 名调查参与者中收集了 VJT 的 19 个项目、SWPAQ 的 6 个尺度的 72 个项目和 SWAT 的 6 个尺度的 60 个项目的反应。因子分析得出了早晨(08:00-11:00)、白天(12:00-20:00)、夜间(21:00-04:00)和 24 小时后困倦(06:00-12:00 第二天)的 4 个因子维度。该模型被发现能够解释 VJT 的 4 个结构之间的相关性,以及 SWPAQ 和 SWAT 的先前开发的量表之间的相关性。结果证实了该模型的预测能力及其在生物节律学和时间心理学研究中的多维评估中的适用性。