在长期COVID中对睡眠障碍的多维评估,使用联盟睡眠问卷
Alina Wilson1, Giorgio Camillo Ricciardiello Mejia1, Sara Lomba1
1Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA.
Healthcare (Basel, Switzerland)
|October 29, 2025
概括
睡眠障碍在长期COVID中很常见,呼吸问题,失眠和白天嗜睡影响了许多人. 负担较高的表型表现出更严重的睡眠和全身症状,这表明需要针对性的查.
科学领域:
- 神经学 神经学
- 睡眠医学 睡眠医学
- 公共卫生 公共卫生
背景情况:
- 睡眠障碍在长期COVID中很普遍,但没有很好地描述.
- 关于这种人群中睡眠症状的具体性质和患病率的研究有限.
研究的目的:
- 分析来自长期COVID患者的综合睡眠问卷数据.
- 在长期COVID中描述睡眠投诉的性质和患病率.
主要方法:
- 对200名长期COVID患者的横截面分析.
- 使用了摄入问卷和联盟睡眠问卷 (ASQ).
- 采用主要成分分析 (PCA) 和K-媒介聚类来识别睡眠表型.
主要成果:
- 与睡眠相关的呼吸问题 (57.5%),失眠 (42.5%) 和过度白天嗜睡 (28.5%) 的高患病率.
- 确定了可解释的领域,包括失眠,疲劳,睡眠障碍和呼吸系统症状.
- 聚类揭示了一个负担较高的表型,BMI增加,失眠,白天嗜睡,胃肠道症状和异常睡眠.
结论:
- 睡眠障碍在长期COVID中频繁且多样化.
- 因子分析和聚类确定了不同的睡眠症状领域和高负担的表型.
- 基于症状的查可以帮助识别患有严重睡眠障碍风险较高的人.
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