Department of Medical Education, National Taiwan University Hospital, Taipei, Taiwan.
Division of Cardiology, Department of Internal Medicine & Community Medicine Center, National Yang Ming Chiao Tung University Hospital, Yilan, Taiwan.
Psychogeriatrics. 2024 Mar;24(2):212-222. doi: 10.1111/psyg.13063. Epub 2023 Dec 18.
The association between nighttime sleep disturbance and daytime sleepiness remains unclear. This study aimed to examine the relationships between various domains of nighttime sleep disturbance, daytime sleepiness, and their specific dimensions.
This was a community-based cross-sectional study. The participants were adults aged 65 years and older from Yilan City, Taiwan. Daytime sleepiness (DS) was defined using the Epworth Sleepiness Scale (ESS) with scores ≥ 11. The ESS dimensions were further examined using exploratory factor analysis. The highest 15% factor scores for each factor were defined as factor-specific DS. Various domains of nighttime sleep disturbance were assessed using the Pittsburgh Sleep Quality Index. Logistic regression analysis was used to examine the independent relationships among various nighttime sleep disturbances, ESS, and its dimensions.
Of the 2585 participants, a total of 59.0% were women. Two factors were identified by exploratory factor analysis and were designated as 'passive factor' and 'active factor'. Multiple logistic regression analyses elucidated that short sleep duration was a common risk indicator for ESS-defined (odds ratio (OR): 2.01; 95% confidence interval (CI): 1.43-2.83), passive factor-defined (OR: 2.23, 95% CI: 1.65-3.00), and active factor-defined DS (OR: 1.47, 95% CI: 1.07-2.00). Hypnotic use was associated with a lower risk of both ESS-defined (OR: 0.66, 95% CI: 0.47-0.92) and passive factor-defined DS (OR:0.69, 95% CI: 0.52-0.92). Bathroom use (OR: 1.41, 95% CI: 1.04-1.91), coughing or snoring (OR: 2.14, 95% CI: 1.01-4.56), and sleep efficiency (OR: 0.42; 95% CI: 0.31-0.57) were uniquely associated with active factor-defined DS.
Two factors were identified in the ESS, revealing factor-specific correlates of DS. Specifically, ESS- and passive factor-defined DS shared similar correlates. In contrast, some correlates seem unique to active-factor-defined DS.
夜间睡眠障碍与日间嗜睡之间的关联仍不清楚。本研究旨在探讨夜间睡眠障碍的各个领域、日间嗜睡及其特定维度之间的关系。
这是一项基于社区的横断面研究。参与者为来自中国台湾宜兰市的 65 岁及以上成年人。日间嗜睡（DS）使用 Epworth 嗜睡量表（ESS）进行定义，得分≥11 分。使用探索性因子分析进一步检查 ESS 维度。每个因子的最高 15%因子分数被定义为因子特异性 DS。使用匹兹堡睡眠质量指数评估夜间睡眠障碍的各个领域。使用逻辑回归分析检查各种夜间睡眠障碍、ESS 及其维度之间的独立关系。
在 2585 名参与者中，共有 59.0%为女性。通过探索性因子分析确定了两个因素，分别命名为“被动因素”和“主动因素”。多变量逻辑回归分析表明，短睡眠时间是 ESS 定义（比值比（OR）：2.01；95%置信区间（CI）：1.43-2.83）、被动因素定义（OR：2.23，95%CI：1.65-3.00）和主动因素定义 DS（OR：1.47，95%CI：1.07-2.00）的常见风险指标。催眠药物的使用与 ESS 定义（OR：0.66，95%CI：0.47-0.92）和被动因素定义 DS（OR：0.69，95%CI：0.52-0.92）的风险降低相关。浴室使用（OR：1.41，95%CI：1.04-1.91）、咳嗽或打鼾（OR：2.14，95%CI：1.01-4.56）和睡眠效率（OR：0.42；95%CI：0.31-0.57）与主动因素定义 DS 独特相关。
在 ESS 中确定了两个因素，揭示了 DS 的特定因素相关性。具体来说，ESS 和被动因素定义的 DS 具有相似的相关性。相比之下，一些相关性似乎是主动因素定义的 DS 所特有的。
