Evidence map›Paper›PMID 41612262›Full record

ArticleBMC ophthalmology2026

Long-term exposure to PM

Keke Liu, Huijuan Luo, Boran E, Huining Kuang, Chenyu Zhang, Xin Guo

Abstract readMulticenter Study
In one paragraph

Article in BMC ophthalmology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

6 authors.

Keke LiuSchool of Public Health, Capital Medical University, No.10, West Toujiao, Right Anmenwai, Fengtai District, Beijing, 100069, People's Republic of China.
Huijuan LuoSchool Health Center, Beijing Center for Disease Prevention and Control, No. 16, Hepingli Middle Street, Dongcheng District, Beijing, 100013, People's Republic of China.
Boran ESchool of Public Health, Capital Medical University, No.10, West Toujiao, Right Anmenwai, Fengtai District, Beijing, 100069, People's Republic of China.
Huining KuangSchool of Public Health, Capital Medical University, No.10, West Toujiao, Right Anmenwai, Fengtai District, Beijing, 100069, People's Republic of China.
Chenyu ZhangSchool of Public Health, Capital Medical University, No.10, West Toujiao, Right Anmenwai, Fengtai District, Beijing, 100069, People's Republic of China.
Xin GuoChinese Center for Disease Control and Prevention, Beijing, People's Republic of China. guoxin@chinacdc.cn.

Funding

Beijing Municipal Health Commission High-level Public Health Technical Talent Construction Project Leading Talent-01-09Ministry of Science and Technology of the People's Republic of China, National Key Research and Development Program of China 2021YFC2702102The Operation of Public Health Emergency Response Mechanism 102393220020010000017
6 · The paper itself

Abstract

objectiveTo explore the link between long-term exposure to fine particulate matter (PM2.5) and nitrogen dioxide (NO2) and myopia prevalence in Chinese school-aged children.

methodsConducted from September 2023 to June 2024, this cross-sectional study included 23,983 school-aged children from six cities across China. Myopia was defined using non-cycloplegic refraction (SE < -0.50 D) combined with visual acuity testing. Three-year average concentrations of pollutants were sourced from the China High Air Pollutants (CHAP) dataset. We employed adjusted mixed-effects models to evaluate the relationship between exposure to air pollutants and the risk of myopia.

resultsIn adjusted linear models, each interquartile range (IQR) increase in long-term PM2.5 exposure was associated with significantly higher odds of myopia (odds ratio [OR] = 1.63; 95% confidence interval [CI]: 1.14–2.33). However, non-linear modeling identified a pronounced departure from linearity (P for non-linearity < 0.001), characterized by a steep risk increase at lower concentrations followed by a plateau at higher levels. Consistent with this pattern, categorical analyses showed that children in PM2.5 exposure quartiles Q2-Q4 had substantially elevated odds of myopia compared with Q1 (OR range: 3.30–3.59).For NO2, the per-IQR association was not statistically significant (OR = 0.96; 95% CI: 0.84–1.09), yet exposure quartiles Q2-Q4 were all associated with significantly increased myopia risk relative to Q1 (OR range: 1.30–1.58). Subgroup analyses suggested variability across sex, grade level, and parental education, but no consistent pattern was observed. Results were robust after adjusting for ozone and using alternative exposure windows.

conclusionOur results provide clear evidence that ambient PM2.5 is an important environmental risk factor for childhood myopia, with a dose-response pattern indicating heightened vulnerability at commonly encountered exposure levels. The consistent risk associated with higher NO2 exposure further supports the role of air pollution. Mitigating myopia burden may therefore require integrating air quality criteria into public health strategies for children’s visual health.

Indexed as

Air PollutantsEnvironmental ExposureMyopiaNitrogen DioxideParticulate MatterChildChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMalePrevalenceRefraction, OcularRisk FactorsAir PollutantsNitrogen DioxideParticulate MatterChildrenCross-sectional studyMyopiaNitrogen dioxideParticulate matter

Identifiers

PMID41612262
PMCPMC12853737

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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.