Evidence map›Paper›PMID 42744362›Full record

ArticleBMJ open2026

Employment type and non-compliance with SARS-CoV-2 diagnostic testing: insights from a nationwide seroprevalence study in South Korea.

Youngook Jang, Kyuhyun Yoon, Suyoung Jo, Jina Han, Jung Ae Kim, Hye Jin Baek, Jaehun Jung, Hyejin Joo, Yumi Jang, June-Woo Lee and 2 more

Abstract read
In one paragraph

Article in BMJ open, 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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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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

12 authors.

Youngook Jang *North America and Europe Team, Korea Institute for International Economic Policy, Sejong, Republic of Korea.ORCID http://orcid.org/0000-0003-0379-2237
Kyuhyun Yoon *Institute of Health and Environment, Seoul National University, Gwanak-gu, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-7017-1145
Suyoung JoInstitute of Health and Environment, Seoul National University, Gwanak-gu, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-7790-0160
Jina HanDepartment of Occupational and Environmental Medicine, Ajou University School of Medicine, Suwon-si, Republic of Korea.ORCID http://orcid.org/0000-0002-4649-0012
Jung Ae KimCollege of Nursing, Kyungbok University, Pocheon-si, Gyeonggi-do, Republic of Korea.ORCID http://orcid.org/0000-0002-7715-5372
Hye Jin BaekDepartment of Occupational and Environmental Medicine, Ajou University School of Medicine, Suwon-si, Republic of Korea.ORCID http://orcid.org/0000-0001-8900-5542
Jaehun JungDepartment of Preventive Medicine, Korea University College of Medicine, Seongbuk-gu, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-4856-3668
Hyejin JooDepartment of Preventive Medicine, Korea University College of Medicine, Seongbuk-gu, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-1683-1143
Yumi JangDepartment of Preventive Medicine, Korea University College of Medicine, Seongbuk-gu, Seoul, Republic of Korea.ORCID http://orcid.org/0009-0009-8762-8450
June-Woo LeeDivision of Clinical Research for Vaccine, Center for Vaccine Research, National Institute of Infectious Diseases, National Institute of Health, Cheongju, Republic of Korea.ORCID http://orcid.org/0000-0002-2923-5597
Soon Young LeeDepartment of Occupational and Environmental Medicine, Ajou University School of Medicine, Suwon-si, Republic of Korea.ORCID http://orcid.org/0000-0002-3160-577X
Dong-Hyun KimDepartment of Social and Preventive Medicine, Hallym University College of Medicine, Chuncheon-si, Republic of Korea dhkims@hallym.ac.kr.ORCID http://orcid.org/0000-0002-1492-5253

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess variations in compliance with SARS-CoV-2 diagnostic testing by examining the prevalence of unreported infections according to socioeconomic factors including occupation and employment type. We hypothesised that individuals in more precarious employment conditions would be less likely to undergo COVID-19 testing.

designNationwide follow-up survey linked to a prior seroprevalence study (K-SEROSMART).

settingGeneral population-based study conducted across 258 counties in South Korea.

participantsThe final analysis included 4502 individuals aged 19 years and older who completed both the socioeconomic survey and SARS-CoV-2 antibody testing and were reactive for anti-nucleocapsid (N) antibodies. PRIMARY OUTCOME MEASURES: The primary outcome was non-compliance with COVID-19 diagnostic testing, defined as the absence of a self-reported confirmed diagnosis among individuals who tested reactive for anti-SARS-CoV-2 nucleocapsid (N) antibodies, indicating a history of natural infection.

resultsNon-compliance with diagnostic testing was significantly associated with socioeconomic characteristics. Self-employed individuals (adjusted OR (aOR) 1.97, 95% CI 1.47 to 2.65) and non-regular workers (aOR 1.45, 95% CI 1.09 to 1.93) had higher odds of unreported infection compared with regular workers. In the analysis by occupational group, certain occupations showed significant associations in the univariate analysis; however, these associations did not retain statistical significance in the multivariable analysis.

conclusionsSocioeconomic disparities play an important role in compliance with COVID-19 diagnostic testing. Individuals in precarious employment may face barriers to testing, contributing to undetected infections. Policies that improve access to testing and reduce employment-related constraints, such as paid sick leave, may help mitigate these disparities. Future research should investigate the specific reasons underlying non-compliance with testing and assess its contribution to community transmission.

Indexed as

COVID-19COVID-19 TestingEmploymentPatient ComplianceAdultFemaleHumansMaleMiddle AgedRepublic of KoreaSARS-CoV-2Seroepidemiologic StudiesSocioeconomic FactorsYoung AdultComplianceCOVID-19 diagnosisCOVID-19 serological testingSocioeconomic factors

Identifiers

PMID42744362
PMCPMC13584022

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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.