ArticleBMC ophthalmology2024
Study of myopia progression and risk factors in Hubei children aged 7-10 years using machine learning: a longitudinal cohort.
Article in BMC ophthalmology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Refractive Error Centile Curves for Asian and Western Children and Adolescents: An Individual Level Meta-Analysis.Investigative ophthalmology & visual science · 2025Pooled it
- The application of artificial intelligence in myopia prediction for children and adolescents: a review.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026Review
- Parental knowledge-attitude-practice profiles in childhood myopia: a comprehensive evaluation integrated with clinical findings.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026Article
- Artificial intelligence in pediatric myopia - a narrative review.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026Review
- Timing of height growth peaks and axial elongation in atropine-treated myopic children.BMC ophthalmology · 2026Article
- Current status of vision and refractive errors among children and adolescents in northeast Sichuan, China: a school-based cross-sectional study.Frontiers in medicine · 2026Article
- Artificial intelligence applications in refractive error management: A systematic review and meta-analysis.PLOS digital health · 2025Article
- Effects of genetic factors and visual behaviors on interventions for myopia prevention and control in children: a systematic review and meta-analysis.Translational pediatrics · 2025Article
- Critical factors to predict efficacy of orthokeratology in inhibiting axial elongation in myopic children.BMC ophthalmology · 2025Article
- Article
- Interpretable machine learning models for predicting childhood myopia from school-based screening data.Scientific reports · 2025Article
- Application of artificial intelligence in myopia prevention and control.Pediatric investigation · 2025Review
- Cross-population validation of the PreMO risk indicator for predicting myopia onset in children.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2025Article
- The Impact of Sunshine Duration on Myopia in Central China: Insights from Populational and Spatial Analysis in Hubei.International journal of general medicine · 2024Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundTo investigate the trend of refractive error among elementary school students in grades 1 to 3 in Hubei Province, analyze the relevant factors affecting myopia progression, and develop a model to predict myopia progression and the risk of developing high myopia in children.
methodsLongitudinal study. Using a cluster-stratified sampling method, elementary school students in grades 1 to 3 (15,512 in total) from 17 cities in Hubei Province were included as study subjects. Visual acuity, cycloplegic autorefraction, and height and weight measurements were performed for three consecutive years from 2019 to 2021. Basic information about the students, parental myopia and education level, and the students' behavioral habits of using the eyes were collected through questionnaires.
resultsThe baseline refractive errors of children in grades 1 ~ 3 in Hubei Province in 2019 were 0.20 (0.11, 0.27)D, -0.14 (-0.21, 0.06)D, and - 0.29 (-0.37, -0.22)D, respectively, and the annual myopia progression was - 0.65 (-0.74, -0.63)D, -0.61 (-0.73, -0.59)D and - 0.59 (-0.64, -0.51)D, with the prevalence of myopia increasing from 17.56%, 20.9%, and 34.08% in 2019 to 24.16%, 32.24%, and 40.37% in 2021 (Χ
conclusionMyopia progression varies by age, sex, and myopia severity. Baseline refraction is the most important factor in predicting high myopia in childhood. we should focus on children with large baseline refraction or young age of onset of myopia in clinical myopia prevention and control.
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Registered trials
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