Evidence map›Paper›PMID 41625678›Full record

ArticleJournal of education and health promotion2025

Burden and determinants of computer vision syndrome in university students: A cross-sectional study.

Mohammed Abdulrahman Alhassan, Mohammed AlFehaid, Turki Almutairi, Maan Alzuhairi, Abdullah Almutaihi, Nawaf Alarfaj, Abdulaziz AlRadaan, Abdulrahman AlHarbi, Bassem Alshehri

Abstract read
In one paragraph

Article in Journal of education and health promotion, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

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

2 citing papers in PubMed.

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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

9 authors.

Mohammed Abdulrahman AlhassanDepartment of Pediatrics, College of Medicine, Prince Sattam Bin Abdulaziz University, AlKharj, Saudi Arabia.
Mohammed AlFehaidCollege of Medicine, Prince Sattam Bin Abdulaziz University, AlKharj, Saudi Arabia.
Turki AlmutairiCollege of Medicine, Prince Sattam Bin Abdulaziz University, AlKharj, Saudi Arabia.
Maan AlzuhairiCollege of Medicine, Prince Sattam Bin Abdulaziz University, AlKharj, Saudi Arabia.
Abdullah AlmutaihiCollege of Medicine, Prince Sattam Bin Abdulaziz University, AlKharj, Saudi Arabia.
Nawaf AlarfajCollege of Medicine, Prince Sattam Bin Abdulaziz University, AlKharj, Saudi Arabia.
Abdulaziz AlRadaanCollege of Medicine, Prince Sattam Bin Abdulaziz University, AlKharj, Saudi Arabia.
Abdulrahman AlHarbiCollege of Medicine, Prince Sattam Bin Abdulaziz University, AlKharj, Saudi Arabia.
Bassem AlshehriCollege of Medicine, Prince Sattam Bin Abdulaziz University, AlKharj, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComputer vision syndrome (CVS) may significantly impact the academic performance and well-being of students. We aimed to determine the prevalence of CVS and its associated factors among university students. MATERIALS AND

methodsA cross-sectional study was conducted among university students in Saudi Arabia. Data were collected through an electronic tool, including the validated Computer Vision Syndrome Questionnaire (CVS-Q). Descriptive and inferential analyses were conducted. Multiple logistic regression was employed to identify predictors of CVS.

resultsOf the 458 participants, 234 (51.1%) met the criteria for CVS. Female gender (adjusted odds ratio (aOR) = 2.13 (95% confidence interval (CI): 1.32-3.45),

conclusionExcessive screen time, female gender, and refractive errors are significant predictors of CVS among university students. Interventions should prioritize reducing screen exposure and promoting regular eye checkups to mitigate CVS and its adverse effects.

Indexed as

Digital eye strainscreen timestudents

Identifiers

PMID41625678
PMCPMC12854315

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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.