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