Evidence map›Paper›PMID 38095767›Full record

ArticleSleep & breathing = Schlaf & Atmung2024

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

Soo Hwan Yim, Jun-Sang Sunwoo, Daeyoung Kim, Min Kyung Chu, Chang-Ho Yun, Kwang Ik Yang

Abstract read
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In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Soo Hwan YimDepartment of Neurology, Ulsan University, College of Medicine, Gangneung Asan Hospital, Gangneung, Republic of Korea.
Jun-Sang SunwooDepartment of Neurology, Kangbuk Samsung Hospital, Seoul, Republic of Korea.
Daeyoung KimDepartment of Neurology, Chungnam National University College of Medicine, Daejeon, Republic of Korea.
Min Kyung ChuDepartment of Neurology, College of Medicine, Severance Hospital, Yonsei University, Seoul, Republic of Korea.
Chang-Ho YunDepartment of Neurology, Seoul National University Bundang Hospital and Seoul National University College of Medicine, Seongnam, Republic of Korea.
Kwang Ik YangSleep Disorders Center, Department of Neurology, Soonchunhyang University College of Medicine, Cheonan, Republic of Korea. neurofan@schmc.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

OBJECTIVE/

backgroundThis study investigated fatigue and excessive daytime sleepiness to determine which was more closely related to depression in the general population. PATIENTS/

methodsParticipants 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

resultsAmong 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

conclusionAlthough 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.

Indexed as

ComorbidityDepressive DisorderDisorders of Excessive SomnolenceAdultCorrelation of DataCross-Sectional StudiesFatigueFemaleHumansMaleMiddle AgedRepublic of KoreaStatistics as TopicSurveys and QuestionnairesDepressionExcessive daytime sleepinessFatigue

Identifiers

PMID38095767

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.