Evidence map›Paper›PMID 42476518›Full record

ArticleJournal of occupational health2026

Computer vision syndrome and ergonomic risk factors among administrative workers in public health care facilities: a cross-sectional occupational study.

Muhamad Faez Faisal Sezali, Mohd Nazri Shafei, Afiq Izzudin A Rahim

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Article in Journal of occupational health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Muhamad Faez Faisal SezaliDepartment of Community Medicine, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia.
Mohd Nazri ShafeiDepartment of Community Medicine, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia.ORCID 0000-0002-7023-9717
Afiq Izzudin A RahimDepartment of Community Medicine, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia.ORCID 0000-0002-0917-2728

Funding

Universiti Sains Malaysia R501-LR-RND002-0000001224-0000
6 · The paper itself

Abstract

objectivesComputer vision syndrome (CVS) is increasingly recognized as an occupational health issue in workplaces with heavy digital use. Although there is ample evidence among IT professionals and students, data on administrative staff in public health care is scarce. This research aimed to determine the prevalence of CVS and identify related factors among administrative workers in public health care facilities on Malaysia's east coast.

methodsA cross-sectional study involving 370 administrative workers from 6 government health care institutions was carried out using multistage random sampling. Data collection included a validated Computer Vision Syndrome Questionnaire and ergonomic assessments. Multiple logistic regression and mixed-effects logistic regression analyses were used to determine independent predictors of CVS.

resultsThe prevalence among participants was 59.7%. Key independent predictors included being female (adjusted odds ratio [aOR] = 2.05; 95% CI, 1.21-3.46), poor horizontal eye level positioning (aOR = 2.27; 95% CI, 1.40-3.70), and wearing corrective glasses (aOR = 1.84; 95% CI, 1.13-2.99).

conclusionsCVS was common among administrative workers in public health care facilities in the east coast state of Malaysia. Modifiable ergonomic factors, especially incorrect screen positioning, greatly raised the risk. These results emphasize the importance of workplace ergonomic interventions and regular visual health checks to reduce digital eye strain and enhance occupational health in settings with extensive computer use.

Indexed as

Administrative PersonnelAsthenopiaErgonomicsOccupational DiseasesAdultComputersComputer TerminalsCross-Sectional StudiesFemaleHumansMalaysiaMaleMiddle AgedPrevalenceRisk FactorsSurveys and Questionnairescomputer vision syndromedigital eye strainoccupational ergonomicsoffice workersworkplace health

Identifiers

PMID42476518
PMCPMC13481142

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LicenceCC BY-NC
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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.