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Fatigue or excessive daytime sleepiness: which is more closely related to depression?
Yim, Soo Hwan; Sunwoo, Jun-Sang; Kim, Daeyoung; Chu, Min Kyung; Yun, Chang-Ho; Yang, Kwang Ik.
Afiliación
  • Yim SH; Department of Neurology, Ulsan University, College of Medicine, Gangneung Asan Hospital, Gangneung, Republic of Korea.
  • Sunwoo JS; Department of Neurology, Kangbuk Samsung Hospital, Seoul, Republic of Korea.
  • Kim D; Department of Neurology, Chungnam National University College of Medicine, Daejeon, Republic of Korea.
  • Chu MK; Department of Neurology, College of Medicine, Severance Hospital, Yonsei University, Seoul, Republic of Korea.
  • Yun CH; Department of Neurology, Seoul National University Bundang Hospital and Seoul National University College of Medicine, Seongnam, Republic of Korea.
  • Yang KI; Sleep Disorders Center, Department of Neurology, Soonchunhyang University College of Medicine, Cheonan, Republic of Korea. neurofan@schmc.ac.kr.
Sleep Breath ; 2023 Dec 14.
Article en En | MEDLINE | ID: mdl-38095767
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 (E+F+, ESS ≥ 11, FSS ≥ 36), fatigue without excessive daytime sleepiness (E-F+, ESS < 11, FSS ≥ 36), excessive daytime sleepiness without fatigue (E+F-, ESS ≥ 11, FSS < 36), and no fatigue and excessive daytime sleepiness (E-F-, 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. E+F+ (n = 67, 31.9% vs. 7.3%) (P < 0.001), E-F+ (n = 71, 33.8% vs. 20.3%) (P < 0.001), E+F-( n = 16, 7.6% vs. 5.8%) (P = 0.294), and E-F- (n = 56, 26.7% vs. 66.6%) (P < 0.001). After adjusting for covariates, depression was associated with E+F+ (odds ratio, OR 8.804, 95% confidence interval (CI) 5.818-13.132), E-F+ (OR 3.942, 95% CI 2.704-5.747), E+F- (OR 2.812, 95% CI 1.542-5.131), and E-F- (reference). Additionally, we performed logistic regression according to two categories. There was no significant difference in the association of depression between E+F- (reference) and E-F+ (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.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sleep Breath Asunto de la revista: NEUROLOGIA / OTORRINOLARINGOLOGIA Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sleep Breath Asunto de la revista: NEUROLOGIA / OTORRINOLARINGOLOGIA Año: 2023 Tipo del documento: Article
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