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睡眠呼吸暂停个体中,日间过度嗜睡与重度抑郁症的风险

Risk of Major Depression Associated with Excessive Daytime Sleepiness in Apneic Individuals.

作者信息

Conenna Matteo, Point Camille, Wacquier Benjamin, Lanquart Jean-Pol, Hein Matthieu

机构信息

Azienda Ospedaliera Universitaria "Luigi Vanvitelli", 80138 Naples, Italy.

Faculté de Médecine, Université Libre de Bruxelles (ULB), 1070 Brussels, Belgium.

出版信息

Clocks Sleep. 2025 Apr 30;7(2):22. doi: 10.3390/clockssleep7020022.

Abstract

Considering the frequent co-occurrence of major depressive disorder and excessive daytime sleepiness in apneic individuals, this study aimed to explore the relationship between excessive daytime sleepiness and the risk of developing major depressive disorder in this specific subpopulation. Demographic and polysomnographic data were retrospectively extracted from the clinical database of 1849 apneic individuals at the Sleep Unit. Excessive daytime sleepiness was considered present when the Epworth Sleepiness Scale score was >10 and major depressive episodes were diagnosed according to DSM criteria. Logistic regression analyses were performed to assess the risk of major depressive disorder associated with excessive daytime sleepiness in apneic individuals. The prevalence of major depressive disorder was 26.3% in apneic individuals. After controlling for major confounding variables, multivariate logistic regression analyses revealed that apneic individuals with complaints of excessive daytime sleepiness had a higher likelihood of developing major depressive disorder compared to those without complaint of excessive daytime sleepiness. This study highlights the strong association between excessive daytime sleepiness and major depressive disorder in apneic individuals, underlining the importance of systematically assessing and adequately treating excessive daytime sleepiness to better manage depressive symptoms and improve overall treatment outcomes in this specific subpopulation.

摘要

考虑到睡眠呼吸暂停个体中重度抑郁症和日间过度嗜睡经常同时出现,本研究旨在探讨该特定亚人群中日间过度嗜睡与患重度抑郁症风险之间的关系。从睡眠科1849名睡眠呼吸暂停个体的临床数据库中回顾性提取人口统计学和多导睡眠图数据。当爱泼华嗜睡量表得分>10时,认为存在日间过度嗜睡,并根据《精神疾病诊断与统计手册》标准诊断重度抑郁发作。进行逻辑回归分析以评估睡眠呼吸暂停个体中日间过度嗜睡与重度抑郁症相关的风险。睡眠呼吸暂停个体中重度抑郁症的患病率为26.3%。在控制主要混杂变量后,多因素逻辑回归分析显示,主诉日间过度嗜睡的睡眠呼吸暂停个体比无日间过度嗜睡主诉的个体患重度抑郁症的可能性更高。本研究强调了睡眠呼吸暂停个体中日间过度嗜睡与重度抑郁症之间的密切关联,突显了系统评估和充分治疗日间过度嗜睡对于更好地管理抑郁症状及改善该特定亚人群总体治疗效果的重要性。

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