Evidence map›Paper›PMID 40131936›Full record

ArticlePloS one2025

Psychological capital and mental health problems among the unemployed in the post-COVID-19 era: Self- esteem as a moderator.

Cao Tran Thanh Trung, Nguyen Tan Dat, Choon Jin Teh, Poh Kiong Tee

Abstract read
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.

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

4 authors.

Cao Tran Thanh TrungSchool of Marketing and Management, Asia Pacific University of Technology & Innovation, Kuala Lumpur, Malaysia.
Nguyen Tan DatLumos Psychotherapy and Counseling Center, Ho Chi Minh City, Vietnam.ORCID https://orcid.org/0000-0002-6450-9565
Choon Jin TehSchool of Marketing and Management, Asia Pacific University of Technology & Innovation, Kuala Lumpur, Malaysia.
Poh Kiong TeeSchool of Management and Business, MILA University, Nilai, Malaysia.ORCID https://orcid.org/0000-0002-1874-7714

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSince the coronavirus pandemic outbreak, unemployment has become a widespread phenomenon in society, with notable consequences including the emergence of mental health problems. This study examined the influence of psychological capital on mental health issues among unemployed people in Vietnam as well as the moderating role of self-esteem in this relation.

methodsThe study adopted a quantitative, cross-sectional approach with 468 recently unemployed office workers in 2023. The participants ranged from ages 22 to 49 years and worked in different fields including technology, finance, consumer services, and infrastructure services.

resultThe results indicated severe to extremely severe mental health symptoms, with 54.5%, 50.9%, and 38.9% of respondents reporting symptoms of depression, anxiety, and stress, respectively. Our results have shown that psychological capital can significantly predict mental health issues including depression, anxiety, stress, and suicidal ideation. Self-esteem was found to play a moderating role in the relation between psychological capital and stress, depression, and suicidal ideation but not anxiety.

conclusionsBusinesses or government agencies should provide mental health support for unemployed workers. Employees should realize that they must improve their psychological capital and self-esteem to propose mental well-being in the post-pandemic period.

Indexed as

COVID-19Mental HealthSelf ConceptUnemploymentAdultAnxietyCross-Sectional StudiesDepressionFemaleHumansMaleMiddle AgedPandemicsSARS-CoV-2Stress, PsychologicalSuicidal Ideation

Identifiers

PMID40131936
PMCPMC11936243

What OpenQuestion holds

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LicenceCC BY
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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.