Prevalence of Computer Vision Syndrome and Its Related Factors in Employees of Sabzevar University of Medical Sciences
Abstract
Background: Computers are an essential part of daily life. However, their usage can lead to vision issues, such as Computer Vision Syndrome (CVS). Accordingly, this study examines the syndrome among employees of Sabzevar University of Medical Sciences and explores the factors contributing to its occurrence.
Methods: This study examined 86 employees from three areas: students, education, and research. It was descriptive and analytical. A validated questionnaire was used to gather data on demographics and CVS symptoms. Screen and room brightness were measured using a Hagner S4 photometer. Data analysis was performed using t-tests and descriptive statistics in Stata.
Results: Among the 86 employees, 51 were female and 35 were male. The majority of individuals affected by CVS aged between 30 and 40. Thirty-one employees exhibited early signs of CVS, with the highest prevalence seen in the research department (46.15%). Gender was the sole contributing variable, with a higher prevalence among women (p = 0.035). The overall prevalence of CVS was 34.88%.
Conclusion: CVS is a prevalent syndrome among employees. Furthermore, female employees displayed a higher prevalence of CVS. To improve employee well-being and performance, ergonomic training and visual exercises should be trained and implemented in the workplaces.
2. Chiemeke SC, Akhahowa AE, Ajayi OB. Evaluation of Vision-Related Problems amongst Computer Users: A Case Study of University of Benin, Nigeria. In: Proceedings of the World Congress on Engineering; 2007 Jul 2-4; London, UK. p. 98-102.
3. Shahid E, Burhany T, Siddique WA, Fasih U, Shaikh A. Frequency of computer vision syndrome in computer users. Pak J Ophthalmol. 2017;33(2):66-70.
4. Chu C, Rosenfield M, Portello JK, Benzoni JA, Collier JD. A comparison of symptoms after viewing text on a computer screen and hardcopy. Ophthalmic Physiol Opt. 2011;31(1):29-32.
5. McVeigh F, Swan M, Ballinger R, Cavallerano J Jr, Gross P. Health information technology resources for optometrists. Optometry. 2008;79(8):480-3.
6. Shah M, Saboor A. Computer vision syndrome: Prevalence and its associated risk factors among computer-using bank workers in Pakistan. J Pak Med Assoc. 2022;72(4):697-701.
7. Agarwal S, Goel D, Sharma A. Evaluation of the Factors which Contribute to the Ocular Complaints in Computer Users. J Clin Diagn Res. 2013;7(2):331-5.
8. Portello JK, Rosenfield M, Bababekova Y, Estrada JM, Leon A. Computer-related visual symptoms in office workers. Ophthalmic Physiol Opt. 2012;32(5):375-82.
9. Anbesu EW, Lema AK. Prevalence of computer vision syndrome: a systematic review and meta-analysis. Sci Rep. 2023;13(1):1801.
10. Chawla A, Lim TC, Shikhare SN, Munk PL, Peh WC. Computer vision syndrome: darkness under the shadow of light. Can Assoc Radiol J. 2019;70(1):5-9.
11. Long J, Cheung R, Duong S, Paynter R, Asper L. Viewing distance and eyestrain symptoms with prolonged viewing of smartphones. Clin Exp Optom. 2017;100(2):133-7.
12. Singh S, McGuinness MB, Anderson AJ, Downie LE. Interventions for the Management of Computer Vision Syndrome: A Systematic Review and Meta-analysis. Ophthalmology. 2022;129(10):1192-215.
13. Azimi Khorasani A, Sharifi F, Zandi F. Computer Vision Syndrome. Bina J Ophthalmol. 2013;18(4):452-8.
14. Rosenfield M, Gurevich R, Wickware E, Lay M. Computer Vision Syndrome: Accommodative and Vergence Facility. Invest Ophthalmol Vis Sci. 2010;51(13):2320.
15. Ghasemi-Falavarjani K, Hashemi M, Modarreszadeh M, Parvaresh MM, Hasani A, Soltan-Sanjari M, et al. Study of the Knowledge and Practice of Computer Users about Computer Related Eye Problems. Bina J Ophthalmol. 2010;15(2):121-7.
16. Adane F, Nega A, Wami SD, Chercos DH. Computer vision syndrome and associated factors among computer users in Debre Tabor Town, Northwest Ethiopia. J Environ Public Health. 2018;2018:4107590.
17. Hadi A, Haghighatnia H, Hesami A, Rasoulzadeh Y. Validity and Reliability of the Persian Version of the Computer Vision Syndrome Questionnaire. J Health Saf Work. 2023;13(1):77-89.
18. Cacodcar JA, Raiturcar TP, Fernandes RR, Dessai SR, Kantak VS, Naik R. Knowledge, attitudes and practices of computer vision syndrome among medical students in Goa. Epidemiol Int. 2021;6(1):9-14.
19. Rosenfield M. Computer vision syndrome: A review of ocular causes and potential treatments. Ophthalmic Physiol Opt. 2016;36(1):1-12.
20. Logaraj M, Madhupriya V, Hegde S. Computer vision syndrome and associated factors among medical and engineering students in Chennai. Ann Med Health Sci Res. 2014;4(2):179-85.
21. Adane F, Alamneh YM, Desta M. Computer vision syndrome and predictors among computer users in Ethiopia: a systematic review and meta-analysis. Trop Med Health. 2022;50(1):26.
22. Artime-Ríos E, Suárez-Sánchez A, Fernández-Somoano A, Seguí-Crespo M. Computer vision syndrome in healthcare workers using video display terminals: an exploration of the risk factors. J Adv Nurs. 2022;78(7):2095-110.
23. Hadi A, Haghighatnia H, Hesami A, Rasoulzadeh Y. Validity and Reliability of the Persian Version of the Computer Vision Syndrome Questionnaire. J Health Saf Work. 2023;13(1):77-89.
24. Das A, Shah S, Adhikari TB, Paudel BS, Sah SK, Das RK, et al. Computer vision syndrome, musculoskeletal, and stress-related problems among visual display terminal users in Nepal. PLoS One. 2022;17(7):e0268356.
| Files | ||
| Issue | Vol 17 No 3 (2025) | |
| Section | Original Article(s) | |
| Published | 2026-06-08 | |
| Keywords | ||
| Visual Syndrome Employees Office Work Occupational Health | ||
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