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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.
Afiliação
  • 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 em 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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sleep Breath Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sleep Breath Ano de publicação: 2023 Tipo de documento: Article