Evidence map›Paper›PMID 39804839›Full record

ArticlePloS one2025

Unexpected effects of pandemic-related changes on mental health: Evidence from a nationwide survey in South Korea.

Won-Hyoung Kim, Jonghun Kim, Jiyun Oh, Seolim Lee, Jihwan Chang, Younhee Kim

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In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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.

Won-Hyoung KimDepartment of Psychiatry and Mental Health, College of Medicine, Inha University, Incheon, South Korea.
Jonghun KimCollege of Medicine, Inha University, Incheon, South Korea.
Jiyun OhCollege of Medicine, Inha University, Incheon, South Korea.
Seolim LeeCollege of Medicine, Inha University, Incheon, South Korea.
Jihwan ChangCollege of Medicine, Inha University, Incheon, South Korea.
Younhee KimDepartment of Social and Preventive Medicine, College of Medicine, Inha University, Incheon, South Korea.ORCID 0000-0001-6782-3050

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSubstantial evidence indicates that the COVID-19 pandemic has adversely affected population mental health globally. However, most studies assumed a linear relationship where only negative pandemic-induced changes led to worse mental health outcomes, overlooking the complex relationship between COVID-19-related changes and mental health. This study examined how various types and magnitudes of pandemic-related changes relate to depression and suicidal thoughts in a large, nationwide adult population sample.

methodsWe analyzed data from the 2021 Korean Community Health Survey, a cross-sectional survey of 229,213 adults. The study examined the association between mental health outcomes and three types of pandemic-related changes: daily life impact (scored 0-100), economic activities (employment and income changes), and health behaviors (physical activity, instant food consumption, alcohol consumption, and smoking). Complex sample multiple logistic regression analysis was used to assess these associations, adjusting for sociodemographic factors.

resultsThe relationship between pandemic-related changes and mental health showed non-linear patterns. Compared to those reporting moderate changes, individuals reporting either no change (depression: aOR 1.253, 95% CI 1.135-1.384; suicidal thoughts: aOR 1.355, 95% CI 1.236-1.486) or complete disruption (depression: aOR 1.895, 95% CI 1.667-2.155; suicidal thoughts: aOR 1.788, 95% CI 1.558-2.052) in daily life showed higher risks of poor mental health. Unexpectedly, positive changes such as improved working conditions (suicidal thoughts: aOR 1.419, 95% CI 1.200-1.677) and increased income (depression: aOR 1.304, 95% CI 1.139-1.493; suicidal thoughts: aOR 1.244, 95% CI 1.079-1.435) were also associated with adverse mental health outcomes.

conclusionsThis study reveals that both minimal and substantial changes in daily life, as well as both positive and negative changes in economic conditions and health behaviors, were associated with poor mental health outcomes during the pandemic. These findings suggest the need for comprehensive mental health interventions that consider various types and magnitudes of life changes during crisis situations.

Indexed as

COVID-19DepressionMental HealthAdolescentAdultAgedCross-Sectional StudiesFemaleHealth BehaviorHealth SurveysHumansMaleMiddle AgedPandemicsRepublic of KoreaSARS-CoV-2

Identifiers

PMID39804839
PMCPMC11729936

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LicenceCC BY
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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.