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与失眠患者日常功能障碍维度相关的生理睡眠特征

Physiological Sleep Features Associated With Dimensions of Daily Dysfunction in Insomnia.

临床研究耳科IF 4.6Q1

文献信息

PMID42984306
原文在 PubMed 查看原文 ↗
发表日期2026
作者Ruda Lee
查看其他 18 位作者

Brendan T Keenan；Bethany Gerardy；Ning-Hung Chen；Peter A Cistulli；Philip de Chazal；Elin Helga Thorarinsdottir；Fang Han；Qing Yun Li；Ulysses J Magalang；Greg Maislin；Nigel McArdle；Thomas Penzel；Richard J Schwab；Bhajan Singh；Sergio Tufik；Magdy Younes；Allan I Pack；Philip Gehrman

作者单位Department of Psychology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
查看其他 18 条单位信息

Division of Sleep Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.；YRT Limited, Winnipeg, Manitoba, Canada.；Division of Pulmonary, Critical Care, and Sleep Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan.；Charles Perkins Centre, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.；Department of Respiratory and Sleep Medicine, Royal North Shore Hospital, St Leonards, Australia.；Charles Perkins Centre, Faculty of Engineering, University of Sydney, Sydney, Australia.；Faculty of Medicine, University of Iceland, Reykjavik, Iceland.；Primary Health Care of the Capital Area, Reykjavik, Iceland.；Division of Sleep Medicine, Peking University People's Hospital, Beijing, China.；Department of Respiratory and Critical Care Medicine, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.；Division of Pulmonary, Critical Care, and Sleep Medicine, Wexner Medical Center, The Ohio State University, Columbus, Ohio, USA.；Western Australian Sleep Disorders Research Institute, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia.；Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia.；Interdisciplinary Center of Sleep Medicine, Charité University Hospital, Berlin, Germany.；Department of Psychobiology, Universidade Federal de São Paulo, São Paulo, Brazil.；Sleep Disorders Centre, University of Manitoba, Winnipeg, Manitoba, Canada.；Department of Psychiatry, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, Pennsylvania, USA.；Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania, USA.

期刊Journal of sleep research
SCI 分区Q1
IF4.6
研究类型临床研究 · 临床
所属专科耳科

中文摘要

背景： 日常功能障碍是失眠的一项关键标准，但其潜在结构及其与客观睡眠生理学的关系仍不清楚。本研究旨在通过探索性因子分析（EFA）识别失眠个体主观日常功能障碍的维度，并在伴或不伴失眠的个体中考察其与多导睡眠图（PSG）宏观结构、脑电图（EEG）频谱功率以及基于比值比乘积（ORP）的睡眠深度的关联。我们假设更严重的日常功能障碍与更差的睡眠连续性、更高的高频EEG活动以及更浅的睡眠深度相关。方法：最终样本包括睡眠呼吸暂停全球跨学科联盟（SAGIC）中无阻塞性睡眠呼吸暂停（OSA）或轮班工作的859名成人（50.1%女性；平均年龄44.2±14.1岁），其中368人患有失眠。结果：EFA支持九个日常功能障碍条目背后存在单一因子，这些条目被合并为总分。在调整年龄、性别和中心的单变量线性回归分析中，较高的beta-1功率和若干ORP指标名义上与更严重的日常功能障碍相关，但均未在多重比较校正后存活。未观察到显著的预测因子与分组交互作用。在三个层面的睡眠生理学——PSG宏观结构、频谱功率和连续睡眠深度——中，没有任何睡眠指标在多重比较校正后与日常功能障碍相关。结论：PSG宏观结构和睡眠EEG衍生指标可能无法完全捕捉日常功能障碍。未来研究可考察夜间内睡眠动态是否比整夜平均值提供更多信息。

英文摘要

Daily dysfunction is a key criterion of insomnia, but its underlying structure and relationship with objective sleep physiology remain unclear. This study aimed to identify the dimensions of subjective daily dysfunction using exploratory factor analysis (EFA) in individuals with insomnia and to examine its association with polysomnography (PSG) macroarchitecture, electroencephalographic (EEG) spectral power and odds ratio product (ORP)-based sleep depth in individuals with and without insomnia. We hypothesized that more severe daily dysfunction would be associated with poorer sleep continuity, higher high-frequency EEG activity and lighter sleep depth. The final sample included 859 adults (50.1% female; mean age 44.2 ± 14.1 years) in the Sleep Apnea Global Interdisciplinary Consortium (SAGIC) without obstructive sleep apnea (OSA) or shift work, including 368 with insomnia. EFA supported a single factor underlying the nine daily dysfunction items, which were combined into a total score. In univariate linear regression analyses adjusted for age, sex and site, higher beta-1 power and several ORP measures were nominally associated with more severe daily dysfunction, but none of them survived correction for multiple comparisons. No significant predictor-by-group interactions were observed. Across three levels of sleep physiology-PSG macroarchitecture, spectral power, and continuous sleep depth-no sleep measure was associated with daily dysfunction after correction for multiple comparisons. PSG macroarchitecture and sleep EEG-derived measures may not fully capture daily dysfunction. Future studies could examine whether within-night sleep dynamics are more informative than whole-night averages.