Evidence map›Paper›PMID 41703249›Full record

ArticleEye (London, England)2026

Distribution of and factors associated with intraocular pressure in school-age Chinese children: findings from a large-scale longitudinal study.

Ke Xu, Gangyue Wu, Chun Zhang, Zhe Pan

Abstract read
In one paragraph

Article in Eye (London, England), 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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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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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.

Ke Xu *Beijing Visual Science and Translational Eye Research Institute (BERI), Beijing Tsinghua Changgung Hospital Eye Center, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0002-0849-0564
Gangyue Wu *Department of Ophthalmology, Zhejiang Jinhua Eye Hospital, Zhejiang, China.
Chun ZhangBeijing Visual Science and Translational Eye Research Institute (BERI), Beijing Tsinghua Changgung Hospital Eye Center, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0001-5203-8463
Zhe PanBeijing Visual Science and Translational Eye Research Institute (BERI), Beijing Tsinghua Changgung Hospital Eye Center, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, China. 2009panzhe@163.com.ORCID http://orcid.org/0000-0001-5888-9453

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo report distribution, change trend of intraocular pressure (IOP) and its association with related influencing factors in school-age Chinese children.

methodsThis retrospective study performed non-contact tonometry, manifest refraction, and ocular biometry in 12,914 participants (25,823 eyes). Univariable and multivariable models assessed the association between the baseline IOP and other baseline parameters, particularly refractive error and axial length (AL). Mixed-effects models evaluated IOP changes with age.

resultsAverage IOPs of groups aged ≤6 years, 7-9 years, 10-12 years, and >12 years were 14.94 ± 3.13, 15.31 ± 2.93, 15.57 ± 2.85, and 16.12 ± 2.85 mmHg, respectively (P < 0.001). A higher IOP was associated with thicker central-corneal thickness (CCT, standardised-regression coefficient (SRC): 0.28, P < 0.001), female gender (SRC: 0.18, P < 0.001), longer AL (SRC: 0.08, P < 0.001), deeper anterior chamber (SRC: 0.06, P < 0.001), higher mean-keratometry reading (SRC: 0.04, P < 0.001), higher spherical equivalent (SRC: 0.04, P = 0.002), higher body-mass-index (SRC: 0.03, P < 0.001), higher age (SRC: 0.02, P = 0.02), and smaller White-to-White (SRC: -0.03, P < 0.001). CCT and sex most significantly influenced IOP. There was no significant within-subject change in IOP between baseline and 3-year follow-up (P = 1.00). In children aged <10 years (P = 0.02) but not older (P = 0.19), a higher baseline IOP correlated with greater myopic refraction. The baseline IOP was positively associated with AL (P < 0.001). The linear regression coefficient decreased with age.

conclusionsCCT and sex most significantly influenced IOP in school-age Chinese children. No significant trend in IOP change corresponding to age increase was found. The association between IOP and myopia or AL became progressively less positive with age.

Indexed as

Intraocular PressureAdolescentAxial Length, EyeBiometryChildChild, PreschoolChinaCorneaFemaleHumansLongitudinal StudiesMaleRefraction, OcularRefractive ErrorsRetrospective StudiesRisk Factors

Identifiers

PMID41703249
PMCPMC13061976

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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.