Evidence map›Paper›PMID 41742106›Full record

ArticleBMC public health2026

Association between ambient air pollution and prevalence of myopia in Korean men.

Kyeongmin Kwak, Sun-Young Kim, Sangchul Yoon

Abstract read
In one paragraph

Article in BMC public health, 2026. 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

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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

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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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Kyeongmin KwakDepartment of Occupational and Environmental Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Republic of Korea.
Sun-Young KimDepartment of Public Health & AI, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Republic of Korea.
Sangchul YoonDepartment of Global Health, Graduate School of Public Health and Healthcare Management, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea. syoon22@catholic.ac.kr.

Funding

Korea University, South Korea K2211901
6 · The paper itself

Abstract

backgroundAmbient air pollution may contribute to the growing burden of myopia, but evidence from large population-based studies remains limited. We evaluated the association between long-term exposure to ambient air pollution and the prevalence and severity of myopia in young Korean men.

methodsWe analyzed nationwide military conscription examination data from 2010 to 2020, including 1,671,826 nineteen-year-old men residing in seven metropolitan cities. Participants without educational attainment data or living outside major urban areas were excluded. We examined the association between district-level 3-year average concentrations of particulate matter (PM₂.₅ and PM₁₀) and nitrogen dioxide (NO₂) with the prevalence and severity of myopia using logistic regression models adjusted for individual and district-level covariates. Sensitivity analyses considered 1- and 6-year exposure averages.

resultsHigher NO₂ exposure was associated with increased odds of myopia (OR per IQR: 1.262; 95% CI: 1.254–1.270), with stronger associations for high myopia (OR per IQR: 1.354; 95% CI: 1.342–1.366), in models adjusted for individual-level covariates. A clear dose-response pattern was observed across NO₂ quartiles. PM₁₀ also showed positive but weaker and less consistent associations, with slightly stronger links to low myopia. In contrast, PM₂.₅ demonstrated consistent inverse associations, likely reflecting temporal confounding due to limited data availability. Sensitivity analyses yielded similar results.

conclusionsLong-term exposure to NO₂ and PM₁₀ may contribute to both the development and progression of myopia, with NO₂ showing particularly strong associations for high myopia. Further longitudinal studies are warranted to clarify these relationships and inform preventive strategies.

Indexed as

Air PollutionEnvironmental ExposureMyopiaAir PollutantsHumansMaleNitrogen DioxideParticulate MatterPrevalenceRepublic of KoreaYoung AdultAir PollutantsNitrogen DioxideParticulate MatterAir pollutionEpidemiologyMyopiaNitrogen dioxideParticulate matter

Identifiers

PMID41742106
PMCPMC13041259

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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.