Evidence map›Paper›PMID 40854738›Full record

ArticleThe British journal of ophthalmology2026

Association between building density and screening myopia in children and adolescents: a 5-year longitudinal study from China.

Jingjing Wang, Jun Chen, Wei Gong, Yating Yang, Fengge Wang, Jinliuxing Yang, Linlin Du, Yuchen Du, Sichen Liu, Bo Zhang and 3 more

Abstract readMulticenter Study
In one paragraph

Article in The British journal of ophthalmology, 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

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. 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

13 authors.

Jingjing WangShanghai Eye Diseases Prevention &Treatment Center/ Shanghai Eye Hospital, School of Medicine, Tongji University, Shanghai, China.ORCID http://orcid.org/0000-0003-2279-9514
Jun ChenShanghai Eye Diseases Prevention &Treatment Center/ Shanghai Eye Hospital, School of Medicine, Tongji University, Shanghai, China.
Wei GongDepartment of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID http://orcid.org/0000-0001-8496-5288
Yating YangDepartment of Biostatistics, School of Public Health, Fudan University, Shanghai, China.
Fengge WangShanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China.
Jinliuxing YangShanghai Eye Diseases Prevention &Treatment Center/ Shanghai Eye Hospital, School of Medicine, Tongji University, Shanghai, China.
Linlin DuShanghai Eye Diseases Prevention &Treatment Center/ Shanghai Eye Hospital, School of Medicine, Tongji University, Shanghai, China.
Yuchen DuShanghai Eye Diseases Prevention &Treatment Center/ Shanghai Eye Hospital, School of Medicine, Tongji University, Shanghai, China.
Sichen LiuShanghai Eye Diseases Prevention &Treatment Center/ Shanghai Eye Hospital, School of Medicine, Tongji University, Shanghai, China.
Bo ZhangShanghai Eye Diseases Prevention &Treatment Center/ Shanghai Eye Hospital, School of Medicine, Tongji University, Shanghai, China.
Ling WangDepartment of Maternal, Child and Adolescent Health, School of Public Health, Fudan University, Shanghai, China.
Xun XuDepartment of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID http://orcid.org/0000-0002-4246-4343
Xiangui HeShanghai Eye Diseases Prevention &Treatment Center/ Shanghai Eye Hospital, School of Medicine, Tongji University, Shanghai, China xianhezi@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study explored the relationship between school-level built environment factors (building density and height) and myopia prevalence.

methodsIn all 16 districts of Shanghai, students from public schools and kindergartens underwent visual acuity testing and non-cycloplegic refraction between 2019 and 2023. Building density and height within 500-metre and 1,000-metre buffers around the schools were obtained using GIS (Geographic Information System)-based spatial and network analyses from the Tianditu database. Demographic and behavioural covariates, such as age, gender, outdoor activity time and near-work time, were collected through questionnaires. Logistic mixed-effect models were used to analyse the association between the building environment and myopia, adjusting for relevant demographic and behavioural factors.

resultsData from 8 647 375 participants were analysed, with 1 116 851 followed consistently. The myopia rate among students was significantly higher during 2020-2021 compared with 2019, 2022 and 2023 (p<0.05). Myopia was more prevalent in students aged 6 to 12, with a higher average age for myopic individuals (8.13 vs 6.64 years). The average building density was higher at schools of myopic students (15.70%) versus non-myopic students (14.90%) (p<0.001). Building density near schools was negatively correlated with spherical equivalent (p<0.05), while no significant association was found with building height. The risk of myopia increased with higher building density (OR: 1.143-1.202, p<0.05), particularly in boys over 12 years old. A stronger association was observed in inner suburban areas (p<0.001).

conclusionsProlonged exposure to high building density may accelerate myopia progression. Urban planning should consider vision health, with regulations on building density near schools to reduce myopia risk.

Indexed as

MyopiaRefraction, OcularSchoolsVision ScreeningAdolescentChildChild, PreschoolChinaFemaleFollow-Up StudiesHumansLongitudinal StudiesMalePrevalenceRisk FactorsVisual AcuityEpidemiologyPublic healthRisk FactorsSurveys and Questionnaires

Identifiers

PMID40854738
PMCPMC12911645

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.