Evidence map›Paper›PMID 41948655›Full record

ArticleHealth science reports2026

The Prevalence of Computer Vision Syndrome Among Medical Students in Syria: A National Cross-Sectional Study.

Hasan Nabil Alhouri, Ahmad Nabil Alhouri, Layth Aldayeh, Saja Hasan Al Asaad, Ziad Alashik, André Torbey, Hanaa Zahrawi, Douaa Mohammad Nazir Arrouk, Maria Badran, Malaz Shammout and 2 more

Abstract read
In one paragraph

Article in Health science reports, 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

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

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

1 citing paper in PubMed.

  1. Article
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

12 authors.

Hasan Nabil AlhouriInternal Medicine Department Damascus University Damascus Syria.ORCID https://orcid.org/0000-0002-5150-3930
Ahmad Nabil AlhouriDepartment of Diagnostic Radiology Damascus University Damascus Syria.ORCID https://orcid.org/0000-0002-3665-6947
Layth AldayehFaculty of Medicine Damascus University Damascus Syria.ORCID https://orcid.org/0009-0006-7744-0647
Saja Hasan Al AsaadFaculty of Medicine Syrian Private University Damascus Syria.ORCID https://orcid.org/0000-0002-0207-7584
Ziad AlashikFaculty of Pharmacy International University for Science and Technology Ghabagheb Syria.ORCID https://orcid.org/0009-0007-4099-2189
André TorbeyFaculty of Medicine Syrian Private University Damascus Syria.ORCID https://orcid.org/0000-0003-4115-4690
Hanaa ZahrawiFaculty of Medicine Syrian Private University Damascus Syria.ORCID https://orcid.org/0000-0001-6994-610X
Douaa Mohammad Nazir ArroukApplied Statistics - Quantitative Methods Damascus University Damascus Syria.
Maria BadranFaculty of Medicine Al-Sham Private University Damascus Syria.
Malaz ShammoutFaculty of Medicine Syrian Private University Damascus Syria.ORCID https://orcid.org/0009-0002-8345-8545
Nour Zuhair AbdalaalFaculty of Medicine Syrian Private University Damascus Syria.
Abir KoudsiDepartment of Family and Community Medicine, Faculty of Medicine Damascus University Damascus Syria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Computer vision syndrome (CVS) is a recognised health concern characterized by eye and vision-related symptoms resulting from prolonged use of digital devices. Approximately 60 million people worldwide are affected by CVS, with almost one million new cases reported annually. Methods: This cross-sectional study was conducted from September 1 to October 15, 2024, among medical students. A paper questionnaire was distributed to students across all academic years at both public and private universities in Syria. The data were analyzed using descriptive statistics, with categorical variables shown as frequencies and percentages. A Chi-square test was used to explore the association between CVS incidence among medical students in Syrian universities and other relevant factors. Results: The study included 2,636 medical students from Syrian universities, with a majority (74.54%) enrolled in public institutions. The prevalence of CVS among these students was 47%. The most used electronic devices were smartphones (96%), followed by laptops (32%). The primary reasons for computer use included social media (90%), studying (83%), and watching movies (44%). The most frequently employed preventive measure was taking breaks during usage (60%), while adherence to the 20-20-20 rule was minimal (7%). Conclusion: The prevalence of CVS among medical students is 47%, with 90% of the sample using digital devices for social media and 83% for studying. A significant association exists between the occurrence of CVS and factors such as gender, daily computer usage time, the distance from the screen, sitting posture, and whether the individual wears corrective lenses or glasses. This study underscores the need to educate computer and smartphone users about proper ergonomics, posture, and eye exercises.

Indexed as

computer vision syndromecross‐sectional studydigital eye strainmedical studentsprevalenceSyriavisual fatigue

Identifiers

PMID41948655
PMCPMC13051820

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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.