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疲劳或日间过度嗜睡:与抑郁症更密切相关的是哪一个?

Fatigue or excessive daytime sleepiness: which is more closely related to depression?

机构信息

Department of Neurology, Ulsan University, College of Medicine, Gangneung Asan Hospital, Gangneung, Republic of Korea.

Department of Neurology, Kangbuk Samsung Hospital, Seoul, Republic of Korea.

出版信息

Sleep Breath. 2024 May;28(2):989-997. doi: 10.1007/s11325-023-02964-4. Epub 2023 Dec 14.

Abstract

OBJECTIVE/BACKGROUND: This study investigated fatigue and excessive daytime sleepiness to determine which was more closely related to depression in the general population.

PATIENTS/METHODS: Participants were investigated across 15 South Korean districts. Excessive daytime sleepiness, fatigue, and depression were evaluated using the Epworth Sleepiness Scale (ESS), Fatigue Severity Scale (FSS), and Patient Health Questionnaire-9 (PHQ-9), respectively. Depression was defined as PHQ-9 ≥ 10. The authors classified the combination of excessive daytime sleepiness and fatigue as excessive daytime sleepiness with fatigue (EF, ESS ≥ 11, FSS ≥ 36), fatigue without excessive daytime sleepiness (EF, ESS < 11, FSS ≥ 36), excessive daytime sleepiness without fatigue (EF, ESS ≥ 11, FSS < 36), and no fatigue and excessive daytime sleepiness (EF, ESS < 11, FSS < 36).

RESULTS

Among 2,493 participants (1,257 women), mean age was 47.9 ± 0.3 years. The prevalence of depression, fatigue, and excessive daytime sleepiness was 8.4% (n = 210), 30.8% (n = 767), and 15.3% (n = 382), respectively. The frequency of the four categories with depression (vs. controls) was as follows.: EF (n = 67, 31.9% vs. 7.3%) (P < 0.001), EF (n = 71, 33.8% vs. 20.3%) (P < 0.001), EF( n = 16, 7.6% vs. 5.8%) (P = 0.294), and EF (n = 56, 26.7% vs. 66.6%) (P < 0.001). After adjusting for covariates, depression was associated with EF (odds ratio, OR 8.804, 95% confidence interval (CI) 5.818-13.132), EF (OR 3.942, 95% CI 2.704-5.747), EF (OR 2.812, 95% CI 1.542-5.131), and EF (reference). Additionally, we performed logistic regression according to two categories. There was no significant difference in the association of depression between EF (reference) and EF (OR 1.399, 95% CI 0.760-2.575).

CONCLUSION

Although fatigue and excessive daytime sleepiness were associated with depression regardless of the presence of each other, we could not clarify which was more closely related to depression.

摘要

目的/背景:本研究旨在调查疲劳和日间嗜睡,以确定在普通人群中,哪一种与抑郁更为密切相关。

患者/方法:研究对象来自韩国的 15 个地区。使用 Epworth 嗜睡量表(ESS)、疲劳严重程度量表(FSS)和患者健康问卷-9(PHQ-9)分别评估日间嗜睡、疲劳和抑郁。抑郁定义为 PHQ-9≥10。作者将日间嗜睡和疲劳的组合分类为伴有日间嗜睡的疲劳(EF,ESS≥11,FSS≥36)、无日间嗜睡的疲劳(EF,ESS<11,FSS≥36)、伴有日间嗜睡的无疲劳(EF,ESS≥11,FSS<36)和无疲劳和日间嗜睡(EF,ESS<11,FSS<36)。

结果

在 2493 名参与者(1257 名女性)中,平均年龄为 47.9±0.3 岁。抑郁、疲劳和日间嗜睡的患病率分别为 8.4%(n=210)、30.8%(n=767)和 15.3%(n=382)。有抑郁症状的四个类别(与对照组相比)的出现频率如下:EF(n=67,31.9%vs.7.3%)(P<0.001)、EF(n=71,33.8%vs.20.3%)(P<0.001)、EF(n=16,7.6%vs.5.8%)(P=0.294)和 EF(n=56,26.7%vs.66.6%)(P<0.001)。调整协变量后,抑郁与 EF(优势比,OR 8.804,95%置信区间(CI)5.818-13.132)、EF(OR 3.942,95%CI 2.704-5.747)、EF(OR 2.812,95%CI 1.542-5.131)和 EF(参考)相关。此外,我们根据两个类别进行了逻辑回归。EF(参考)和 EF(OR 1.399,95%CI 0.760-2.575)之间抑郁的关联无显著差异。

结论

尽管疲劳和日间嗜睡与抑郁相关,无论彼此是否存在,但我们无法确定哪一种与抑郁的关系更密切。

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