Evidence map›Paper›PMID 40361066›Full record

ArticleBMC pediatrics2025

The association between smartphone use and myopia progression in children: a prospective cohort study.

Jing Li

Abstract read
In one paragraph

Article in BMC pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Review
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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

1 author.

Jing LiDepartment of Ophthalmology, Shanxi Children's Hospital, Shanxi Matern al and Child Health Care Hospital, Taiyuan, China. dun31188@yeah.net.

Funding

Shanxi Medical University SF-2351
6 · The paper itself

Abstract

backgroundThe increasing myopia of children has sparked speculations on whether the use of smartphones can accelerate this rate. This study aims to identify possible predictors for myopic progression in children with smartphones over a period of two years.

methodsThis prospective cohort study recruited 523 children aged 6 to 14 years. A comprehensive eye examination was performed at baseline and at 6, 12, and 24 months, which included spherical equivalent refractive error (with cycloplegia) and axial length. Smartphones usage patterns were traced using mobile usage monitoring app. Outdoor activities, sleep duration, and parental history of myopia were documented with structured questionnaires. Data on myopic progression associated with smartphone use are presented with multivariate regression analyses.

resultsIt demonstrated that daily usage of smartphones was positively associated with the progression of myopia (5.1 ± 1.2 vs. 3.4 ± 1.0 h, p < 0.001). Increased time of outdoor activity (1.2 ± 0.6 vs. 2.1 ± 0.8 h/day, p < 0.001) and longer distances of screens (25.8 ± 5.4 vs. 31.4 ± 6.2 cm, p < 0.001) were inversely related to myopic progression. Of importance is that children whose parents experienced myopia exhibited higher progression rates compared to those who did not (65.5% vs. 44.4%, p < 0.001).

conclusionThis study indicated that daily duration of smartphones use, time of outdoor activity, distance of screen, and parental myopia are predictors of childhood myopic progression.

Indexed as

MyopiaSmartphoneAdolescentChildDisease ProgressionFemaleHumansMaleProspective StudiesScreen TimeSurveys and QuestionnairesChildhoodChildrenDigital screenMyopiaMyopic progressionPredictorSmartphone

Identifiers

PMID40361066
PMCPMC12070634

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LicenceCC BY-NC-ND
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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.