Evidence map›Paper›PMID 42237176›Full record

ArticleJournal of Korean medical science2026

Mental Health Outcomes After the Acute Phase of COVID-19: Factors Identified in a Korean Public Mental Health Service.

Hyejin Kim, Euihyun Kwak, Dongku Lee, Songeun Lee, Dayoung Lee, Suk Jeong Ko, Myungjae Baik, Jong-Woo Paik, Minyoung Sim, Sun Jae Jung

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Hyejin Kim *Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-5553-2248
Euihyun Kwak *National Center for Disaster and Trauma, National Center for Mental Health, Seoul, Korea.ORCID https://orcid.org/0009-0009-4969-5978
Dongku LeeDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-9093-3696
Songeun LeeNational Center for Disaster and Trauma, National Center for Mental Health, Seoul, Korea.ORCID https://orcid.org/0000-0002-5056-7254
Dayoung LeeNational Center for Disaster and Trauma, National Center for Mental Health, Seoul, Korea.ORCID https://orcid.org/0000-0002-4399-4231
Suk Jeong KoNational Center for Disaster and Trauma, National Center for Mental Health, Seoul, Korea.ORCID https://orcid.org/0000-0001-6488-7913
Myungjae BaikDepartment of Psychiatry, School of Medicine, Kyung Hee University, Seoul, Korea.ORCID https://orcid.org/0000-0001-8989-7405
Jong-Woo PaikDepartment of Psychiatry, School of Medicine, Kyung Hee University, Seoul, Korea.ORCID https://orcid.org/0000-0002-1804-8497
Minyoung SimNational Center for Disaster and Trauma, National Center for Mental Health, Seoul, Korea. mdsim02@korea.kr.ORCID https://orcid.org/0000-0001-9289-1979
Sun Jae JungDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-5194-7339

Funding

Korea Health Industry Development Institute HI22C0505
6 · The paper itself

Abstract

backgroundSequelae following coronavirus disease 2019 (COVID-19) frequently include lasting neuropsychiatric symptoms; however, identifying predictors from the acute phase remains challenging due to limitations in collecting prospective data during that time.

methodsData were obtained from electronic counseling records of 515 COVID-19 patients who received free services from the Korean National Center for Disaster and Trauma. The Clinical Global Impression Severity Scale (CGI-S) was used to repeatedly assess mental health at each counseling session. Baseline predictors included demographic characteristics, psychiatric and medical comorbidities, and psychological response, which was further divided into four sub-factors via factor analysis. Multivariate mixed effect models were used to explore the relationship between these predictors and mental health following the acute phase of COVID-19, with analyses stratified by gender.

resultsThe most common post-COVID psychological responses were anxiety, depression, and sleep problems, with CGI-S scores dropping from 2.83 initially to 1 by the last observed session and averaging 2.38 at the third follow-up. Four sub-factors were identified through exploratory factor analysis, namely cognitive and physical exhaustion, emotional distress, self-destructive coping, and somatized anxiety. Baseline psychological responses (β = 0.06,

conclusionBaseline psychological responses predict persistent mental health symptoms, and identified profiles may help early identification of high-risk groups during acute COVID-19.

Indexed as

COVID-19Mental HealthMental Health ServicesAdultAnxietyDepressionFemaleHumansMaleMiddle AgedPost-Acute COVID-19 SyndromeRepublic of KoreaSARS-CoV-2Sleep Wake DisordersClinical Global Impression Severity ScaleCOVID-19Long COVIDLongitudinal StudiesMental HealthPreventive PsychiatryPublic Health

Identifiers

PMID42237176
PMCPMC13226915

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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.