Evidence map›Paper›PMID 39975780›Full record

ArticleFrontiers in public health2025

Assessment of computer vision syndrome and associated factors among employees of Ethio-telecom in Addis Ababa, Ethiopia.

Natnael Gizachew, Teferi Abegaz, Tenaw Demis, Melese Gashaw, Lidetu Demoze

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Article in Frontiers in public health, 2025. 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

5 authors.

Natnael GizachewSchool of Public Health, College of Health Science and Medicine, Dilla University, Dilla, Ethiopia.
Teferi AbegazSchool of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Tenaw DemisFederal Democratic Republic of Ethiopia Ministry of Labour and Skills, Addis Ababa, Ethiopia.
Melese GashawSchool of Public Health, College of Health Science and Medicine, Dilla University, Dilla, Ethiopia.
Lidetu DemozeDepartment of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Computer vision syndrome refers to a range of eye and vision-related problems which may result from extended use of digital devices such as computers. It is a public health problem, affecting more than 70% of all computer users. In developing countries like Ethiopia, there is scarcity of studies on computer vision syndrome, particularly in the telecom industry making evidence-based interventions difficult. Hence, the study aims to identify the determinants and the prevalence of computer vision syndrome among Ethio telecom workers in Addis Ababa, Ethiopia. Objectives: This study aimed to determine the prevalence of CVS and identify its factors among Ethio telecom workers in Addis Ababa, Ethiopia. Methods: Institution-based cross-sectional study was conducted among Ethio telecom employees in Addis Ababa, Ethiopia from March to June 2023. A total of 497 individuals participated in the study. Data were collected using an interviewer- administered questionnaire through Kobo Toolbox, observational checklist and an illuminance measuring instrument. The data were transferred to Statistical Package for the Social Sciences (SPSS) version 26 for analysis. Multivariable logistic regression was performed to assess the association and control for potential confounders. Results: The prevalence of CVS among Ethio telecom workers was 68.8% (95% CI: 64.5-72.9). Significant associations were observed with viewing distance <50 cm (AOR: 2.32, 95% CI: 1.24-4.33), improper task illumination (AOR: 1.78, 95% CI: 1.09-2.91), habit of taking breaks (AOR: 0.439, 95% CI: 0.281-0.686), and adjustment of brightness and contrast (AOR: 0.39, 95% CI: 0.22-0.68). Conclusion: More than two-thirds of Ethio telecom workers in Addis Ababa suffer from CVS, with significant influences from viewing distance, task illumination, breaks, and monitor settings. These findings underscore the need for interventions to enhance working conditions and reduce CVS prevalence among computer users.

Indexed as

Occupational DiseasesTelecommunicationsVision DisordersAdultComputersCross-Sectional StudiesEthiopiaFemaleHumansMaleMiddle AgedPrevalenceSurveys and QuestionnairesSyndromeAddis Ababacomputer vision syndromedeterminantsEthiopiaEthio telecom workersprevalencetask illuminationviewing distance

Identifiers

PMID39975780
PMCPMC11835813

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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.