ArticleFrontiers in public health2023
Computer vision syndrome among students during remote learning periods: harnessing digital solutions for clear vision.
Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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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.
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.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Clinical manifestations, prevalence, and risk factors of asthenopia: a systematic review and meta-analysis.Journal of global health · 2026Pooled it
- Consensus on Diagnostic Criteria, Clinical Symptoms, and Risk Factors for Visual Fatigue: A Modified Delphi Study.Ophthalmology and therapy · 2026Article
- Computer vision syndrome among medical students at Kasr Al-Ainy Faculty of Medicine, Cairo University, Egypt: a cross-sectional study of prevalence, risk factors, and protective measures.Frontiers in public health · 2026Article
- Article
- Computer vision syndrome: a comprehensive literature review.Future science OA · 2025Review
- Computer Vision Syndrome Among Saudi University Students: A Cross-Sectional Analysis of Risks and Discipline Variations.Healthcare (Basel, Switzerland) · 2025Article
- Exploring computer vision syndrome among primary school students in Dhaka, Bangladesh: a cross-sectional study.BMJ open · 2025Article
- Computer vision syndrome among Sudanese medical students: a growing medical issue in the digital world.Annals of medicine and surgery (2012) · 2024Article
- Digital Eye Strain: Updated Perspectives.Clinical optometry · 2024Review
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Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aim: This study aimed to assess the prevalence of Computer Vision Syndrome (CVS) among children and adolescents in Qatar during the period of remote learning and explore the associated factors and discuss some digital health remedies that might reduce the risk. Methods: We conducted an analytical cross-sectional study between June and August 2022 by collecting data via telephone interviews with parents of selected students utilizing the Computer Vision Syndrome Questionnaire (CVS-Q). Results: We completed 1,546 interviews. The mean age of the students was (11 ± 2), male: female ratio was almost 1:1. About one quarter (368, 23.8%) of parents reported a previous diagnosis of visual disturbances among their children with over 88% of them wearing eyeglasses or medical contact lenses. The prevalence of CVS in our sample was about 8% (95%CI: 6.8-9.6). Mother's employment, having positive history of visual disturbances, and excess screen time were found to be significant predictors of CVS. Conclusion: Health care providers in collaboration with teachers should provide parents with evidence-based strategies to prevent or minimize the digital eye strain among students. In the landscape of remote learning, the implementation of digital remedies emerges as a proactive approach to mitigate the risk of digital eye strain.
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Registered trials
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.