Generally applicable qualifications of sleep and principles for achieving better sleep are difficult to design, because sleep quality can depend on individual demographic characteristics and lifestyles. In this study, the static and dynamic features of sleep–wake patterns were analyzed in association with quantitative sleep-related parameters and self-rated sleep quality to serve as a practical selection of sleep–wake patterns fitted to individual conditions. Data obtained over a 2-week period by actigraphy from university students and information technology workers were measured to obtain a daily subjective rating of sleep quality using the Oguri–Shirakawa–Azumi (OSA) sleep inventory. Qualitative sleep quality in terms of OSA score and quantitative sleep-related and chronobiological features were analyzed with regard to their dependency on the demographic characteristics, habitual sleep–wake patterns (HSWP), and distinction of weekdays/weekends. Multi-factor ANOVA was used to further investigate their dependencies regarding multiple ways of interactions between the demographic characteristics, HSWP, and distinction of weekdays/weekends. Subjective sleep quality and quantitative sleep-related parameters depended on the demographic characteristics, and so did their associations. The classification of day-to-day variations in HSWP showed four clusters that were effective factors for understanding their dependencies. Multi-factor analysis revealed demographic characteristics, HSWP, distinction of weekdays/weekends, and their multi-way interactions up to 3rd order as significant effectors of qualitative and quantitative quality of sleep. This study clarified how quantitative sleep-related parameters, subjective sleep quality, and their associations depended on demographic characteristics. Furthermore, their dependency was understood as a combination of multi-way interactions between the demographic characteristics, HSWP, and the distinction of weekdays/weekends. Our findings could provide a basis for the design of individually matched sleep–wake patterns.

由于睡眠质量可能取决于个人的人口统计学特征和生活方式，因此很难设计普遍适用的睡眠资格和获得更好睡眠的原理。在这项研究中，结合定量的与睡眠相关的参数和自我评估的睡眠质量，分析了睡眠-觉醒模式的静态和动态特征，以作为适合于各种情况的实用的睡眠-觉醒模式的选择。使用Oguri-Shirakawa-Azumi（OSA）睡眠清单，测量了通过书法从大学生和信息技术工作者在2周时间内获得的数据，以获得每日的睡眠质量主观评分。就OSA评分以及与睡眠有关的和时序生物学特征的定量而言，定性睡眠质量就其对人口统计学特征，习惯性睡眠-觉醒模式（HSWP）的依赖性以及工作日/周末的区别进行了分析。多因素方差分析用于进一步研究其在人口统计特征，HSWP和工作日/周末区别之间的多种交互方式的依赖性。主观睡眠质量和定量的与睡眠相关的参数取决于人口统计学特征，因此也与他们的关联性有关。HSWP的日常变化分类显示了四个集群，这些集群是理解其依赖性的有效因素。多因素分析显示了人口统计学特征，HSWP，工作日/周末的区别，以及它们的多路相互作用（最多三阶）是睡眠定性和定量质量的重要影响因素。这项研究阐明了与睡眠有关的定量参数，主观睡眠质量及其关联如何取决于人口统计学特征。此外，他们的依赖性被理解为人口特征，HSWP和工作日/周末区别之间的多方交互作用的组合。我们的发现可以为设计单独匹配的睡眠-唤醒模式提供基础。他们的依存关系被理解为人口统计特征，HSWP和工作日/周末区别之间的多方交互作用的组合。我们的发现可以为设计单独匹配的睡眠-唤醒模式提供基础。他们的依存关系被理解为人口统计特征，HSWP和工作日/周末区别之间的多方交互作用的组合。我们的发现可以为设计单独匹配的睡眠-唤醒模式提供基础。