Evidence map›Paper›PMID 35348012›Full record

ArticleAnnals of medicine2022

High prevalence of depression and sleep-wake disorders among female emergency medicine residents in South Korea.

Mi Jin Lee, Woo Young Nho, Haewon Jung, Jae Wan Cho, Jun Seok Seo, Hyung Min Lee, Kwang Hyun Cho, Yun Jeong Kim, Jong Kun Kim

Open access · goldAbstract read
In one paragraph

Article in Annals of medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.5field-weighted citation impact, top 6% of its field
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

9 citing papers in PubMed, 17 citations in OpenAlex.

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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

9 authors at 5 institutions in 1 country.

Mi Jin LeeDepartment of Emergency Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea.ORCID 0000-0002-3773-8047
Woo Young NhoDepartment of Emergency Medicine, CHA Gumi Medical Center, CHA University, Gumi, South Korea.ORCID 0000-0002-5956-9854
Haewon JungDepartment of Emergency Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea.ORCID 0000-0002-2303-3142
Jae Wan ChoDepartment of Emergency Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea.ORCID 0000-0002-5342-155X
Jun Seok SeoDepartment of Emergency Medicine, Dongguk University Ilsan Hospital, College of Medicine, Dongguk University, Seoul, South Korea.
Hyung Min LeeDepartment of Emergency Medicine, Kyung Hee Medical Center, Kyung Hee University, Seoul, South Korea.
Kwang Hyun ChoDepartment of Emergency Medicine, Nowon Eulji Medical Center, Eulji University, Seoul, South Korea.
Yun Jeong KimDepartment of Emergency Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea.
Jong Kun KimDepartment of Emergency Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea.
Kyungpook National University · KRCHA University · KRDongguk University Ilsan Hospital · KREulji University · KRKyung Hee University Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression and sleep-wake disorders are recognized as one of the major problems among emergency physicians. While depression is more common in females than in males, the associated factors linking depression and sleep-wake disorders in emergency physicians, particularly females, remain unknown.

objectiveTo analyze the prevalence of depression and sleep-wake problems among emergency medicine (EM) residents in South Korea and to identify the gender differences and situations that adversely predispose female residents to mental health problems.

methodsWe conducted a cross-sectional analysis using the data collected from the 2019 National EM Residents Wellness Survey targeting all of 630 EM residents in South Korea. The survey included variables potentially influencing depression and sleep-wake problems, such as personal characteristics, work-related stress, and extrinsic environment. Information regarding medical conditions, depression, job stress, and sleep deprivation was obtained using the self-administered Patient Health Questionnaire (PHQ-9), the Apgar Wellness Score (AWS), and the Epworth Sleepiness Scale (ESS). We analyzed the data using IBM SPSS Statistics version 25 and MedCalc version 17.

resultsA total of 384 residents participated in the survey. Overall, 27.5% of the EM residents met the criteria for at least moderate depression and 36.9% of the EM residents had sleep-related problems. We found that difficulty in trading the shift schedule and frequent night shifts was associated with depression (

conclusionsApproximately, one-third of EM residents report depression and sleep-wake problems, with female residents showing a higher risk than male residents. Several risk factors were identified, and future strategies should be aimed to address these issues to improve the training environment and overall wellbeing of EM residents.KEY MESSAGESThe prevalence of depression and sleep-related problems were, respectively, 1.95 and 1.81 times higher in female residents compared to their male colleagues.The associated risk factors for depression were flexibility of shift trade, level of training in the emergency medical centre, and frequency of night shifts.Improving the training environment and facilities, as well as offering more flexible duty trading options can provide potential opportunities to reduce the risk.

Indexed as

Emergency MedicineInternship and ResidencySleep Wake DisordersCross-Sectional StudiesDepressionFemaleHumansMalePrevalenceRepublic of KoreaSleepdepressionemergency medicineGenderresidentssleep–wake disorderwell-being

Identifiers

PMID35348012
PMCPMC8967212
OpenAlexW4220755455

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.