Prevalence and Risk Factors of Computer Vision Syndrome among Medical Students

Prévalence et Facteurs de Risque du Syndrome de l’Écran de Visualisation Chez Les Étudiants en Médecine

Authors

  • Kagoné WSW Service d’ophtalmologie CHU Souro Sanou, Burkina Faso
  • Bamogo E Service d’ophtalmologie CHU de Pala, Burkina Faso
  • Oubda NCLP Service d’ophtalmologie CHU Souro Sanou, Burkina Faso
  • Kousse S Service d’ophtalmologie CHU Souro Sanou, Burkina Faso
  • Tagbino F Service d’ophtalmologie CHU Souro Sanou, Burkina Faso
  • Meda A Service d’ophtalmologie CHU Souro Sanou, Burkina Faso
  • Lessamba P Service d’ophtalmologie CHU Souro Sanou, Burkina Faso
  • Diallo JW Clinique Ophtalmologique de l’hôpital militaire Tanguet-Ouattara, Burkina Faso

DOI:

https://doi.org/10.67260/hra.v4i7.7877

Keywords:

Computer Vision Syndrome, medical students, dry eye, OSDI, CVS-Q

Abstract

Introduction. Computer Vision Syndrome (CVS) is a set of ocular and extra-ocular symptoms associated with prolonged use of digital screens. It is particularly common among medical students who are highly exposed to screens. The aim of this study was to assess the prevalence of CVS and identify its risk factors among medical students in Burkina Faso. Methods. A descriptive cross-sectional study was conducted among 246 medical students using a self-administered questionnaire. Sociodemographic data, screen-use habits, and ocular symptoms were collected. Two validated tools were used: the Ocular Surface Disease Index (OSDI) to assess symptomatic dry eye and the Computer Vision Syndrome Questionnaire (CVS-Q) to evaluate CVS. Statistical associations were analyzed with a significance level set at p < 0.05. Results. The prevalence of CVS was 44.3%. The most frequent symptoms were increased sensitivity to light (53.66%) and headaches (56.1%). Factors significantly associated with CVS were uncorrected ametropia (p < 0.001) and daily screen use duration (p = 0.032). Symptomatic dry eye, assessed using the OSDI, affected 54.1% of students, of whom 21.1% had a severe form. Conclusion. Nearly half of the students experienced Computer Vision Syndrome. Simple measures such as appropriate optical correction, improved visual ergonomics, and regular breaks are essential to reduce ocular symptoms.

References

1. American Optometric Association. Computer vision syndrome (Digital eye strain) Internet. cité 21 juin 2025. Disponible sur: https://www.aoa.org/healthy-eyes/eye-and-vision-conditions/computer-vision-syndrome?sso=y

2. Navarro R. The Average Screen Time and Usage by Country. ElectronicsHub Internet. 26 août 2024 cité 21 juin 2025. Disponible sur: https://www.electronicshub.org/the-average-screen-time-and-usage-by-country/

3. Abudawood GA, Ashi HM, Almarzouki NK. Computer Vision Syndrome among Undergraduate Medical Students in King Abdulaziz University, Jeddah, Saudi Arabia. J Ophthalmol. 1 avr 2020;2020:1‑7. doi:10.1155/2020/2789376

4. Caroline M, Evodie A, Arlette N, Chantal N, Nsa E, Raoul D, Godefroy K, Yannick B. Prévalence et Caractéristiques Cliniques des Amétropies chez les Étudiants en Médecine à Yaoundé : Une Étude Transversale: Prevalence and Clinical Presentation of Refractive Errors Among Medical Students of Yaoundé: A Cross-Sectional Study. Health Sci Dis Internet. 26 sept 2025 cité 15 mars 2026;26(10). Disponible sur: https://hsd-fmsb.org/index.php/hsd/article/view/7069

5. Schiffman RM, Christianson MD, Jacobsen G, Hirsch JD, Reis BL. Reliability and validity of the Ocular Surface Disease Index. Arch Ophthalmol Chic Ill 1960. mai 2000;118(5):615‑21. doi:10.1001/archopht.118.5.615 PubMed PMID: 10815152.

6. Seguí MDM, Cabrero-García J, Crespo A, Verdú J, Ronda E. A reliable and valid questionnaire was developed to measure computer vision syndrome at the workplace. J Clin Epidemiol. juin 2015;68(6):662‑73. doi:10.1016/j.jclinepi.2015.01.015

7. Kumar N. Average Screen Time Statistics 2025 (By Age, Gender & Region). DemandSage Internet. 16 sept 2025 cité 12 nov 2025. Disponible sur: https://www.demandsage.com/screen-time-statistics/

8. Kharel (Sitaula) R, Khatri A. Knowledge, Attitude and practice of Computer Vision Syndrome among medical students and its impact on ocular morbidity. J Nepal Health Res Counc. 30 oct 2018;16(3):291‑6. doi:10.33314/jnhrc.v16i3.1177

9. Coronel-Ocampos J, Gómez J, Gómez A, Quiroga-Castañeda PP, Valladares-Garrido MJ. Computer Visual Syndrome in Medical Students From a Private University in Paraguay: A Survey Study. Front Public Health. 2022;10:935405. doi:10.3389/fpubh.2022.935405 PubMed PMID: 35910871; PubMed Central PMCID: PMC9330381.

10. Gebresellassie MG, Sisay H, Getahun B, Abera E, Birhanu H, Ashenafi T. Prevalence of Computer Vision Syndrom and Predisposing Factors Among Engineering Students in Hawass University Institution of Techenology Campus, Hawassa, Ethiopia, 2019. Open Ophthalmol J. 20 déc 2022;16(1):e187436412210060. doi:10.2174/18743641-v16-e220128-2021-44

11. Al Tawil L, Aldokhayel S, Zeitouni L, Qadoumi T, Hussein S, Ahamed Ss. Prevalence of self-reported computer vision syndrome symptoms and its associated factors among university students. Eur J Ophthalmol. janv 2020;30(1). doi:10.1177/1120672118815110 PubMed PMID: 30474390.

12. Gebresellassie MG, Sisay H, Getahun B, Abera E, Birhanu H, Ashenafi T. Prevalence of Computer Vision Syndrom and Predisposing Factors Among Engineering Students in Hawass University Institution of Techenology Campus, Hawassa, Ethiopia, 2019 Internet. doi:10.2174/18743641-v16-e220128-2021-44

13. Pavel IA, Bogdanici CM, Donica VC, Anton N, Savu B, Chiriac CP, Pavel CD, Salavastru SC. Computer Vision Syndrome: An Ophthalmic Pathology of the Modern Era. Med Kaunas Lith. 20 févr 2023;59(2):412. doi:10.3390/medicina59020412 PubMed PMID: 36837613; PubMed Central PMCID: PMC9961559.

14. Rosenfield M. Computer vision syndrome: a review of ocular causes and potential treatments. Ophthalmic Physiol Opt. 2011;31(5):502‑15. doi:10.1111/j.1475-1313.2011.00834.x

15. Shah M, Saboor A. Computer Vision Syndrome: Prevalence and Associated Risk Factors Among Computer-Using Bank Workers in Pakistan. Turk J Ophthalmol. 28 oct 2022;52(5). doi: 10.4274/tjo.galenos.2021.08838 PubMed PMID: 36317741.

16. Asiedu K, Kyei S, Boampong F, Ocansey S. Symptomatic Dry Eye and Its Associated Factors: A Study of University Undergraduate Students in Ghana. Eye Contact Lens. juill 2017;43(4):262‑6. doi:10.1097/ICL.0000000000000256 PubMed PMID: 26963438.

17. Yun CM, Kang SY, Kim HM, Song JS. Prevalence of Dry Eye Disease among University Students. J Korean Ophthalmol Soc. 21 juill 2016;53(4):505‑9.

18. Choi JH, Li Y, Kim SH, Jin R, Kim YH, Choi W, You IC, Yoon KC. The influences of smartphone use on the status of the tear film and ocular surface. Taylor AW, éditeur. PLOS ONE. 31 oct 2018;13(10):e0206541. doi: 10.1371/journal.pone.0206541

19. Zarban NA, Alammari OB, Abu Sabah S, Alshamrani NSM, Alqathanin MA, AlRabeeah NA, Basalib SG. Prevalence and Risk Factors of Dry Eye Disease in Association With the Increased Use of Electronic Devices Among University Students in Western Saudi Arabia. Cureus. janv 2024;16(1):e51554. doi:10.7759/cureus.51554 PubMed PMID: 38313976; PubMed Central PMCID: PMC10835085.

20. Alqurashi A, Almaghrabi H, Alahmadi M, Alotaibi A, Alotaibi B, Jastaniah A, Bukhari A, Binhussein M, Othman B, Khojah A. The severity of dry eye symptoms and risk factors among university students in Saudi Arabia: a cross-sectional study. Sci Rep. 2 juill 2024;14(1):15149. doi:10.1038/s41598-024-65297-6

21. Sánchez-Valerio M del R, Mohamed-Noriega K, Zamora-Ginez I, Duarte BGB, Vallejo-Ruiz V.

Dry Eye Disease Association with Computer Exposure Time Among Subjects with Computer Vision Syndrome

. Clin Ophthalmol. 8 déc 2020;14:4311‑7. doi:10.2147/OPTH.S252889

22. Aljohani S, Alrasheed SH, Alrashidi K, Alharbi A, Alghamdi S, Aljhni M. Impact of adherence to American Optometric Association guidelines on computer vision syndrome and dry eye. Afr Vis Eye Health. 21 nov 2024;83(1):7. doi:10.4102/aveh.v83i1.966

Published

07/01/2026

How to Cite

Kagoné WSW, Bamogo E, Oubda NCLP, Kousse S, Tagbino F, Meda A, … Diallo JW. (2026). Prevalence and Risk Factors of Computer Vision Syndrome among Medical Students: Prévalence et Facteurs de Risque du Syndrome de l’Écran de Visualisation Chez Les Étudiants en Médecine. HEALTH RESEARCH IN AFRICA, 4(7), 25–30. https://doi.org/10.67260/hra.v4i7.7877

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Section

Research Articles

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