Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Jun 28;32(2):118-125.
doi: 10.5152/FNJN.2024.23037.

Prevalence, Knowledge and Associated Factors Related to Computer Vision Syndrome among Undergraduate Students

Affiliations

Prevalence, Knowledge and Associated Factors Related to Computer Vision Syndrome among Undergraduate Students

Ng Lee Yee et al. Florence Nightingale J Nurs. .

Abstract

Computer vision syndrome has been an issue of concern among students who use digital devices continuously. This study aimed to determine the prevalence and level of knowledge on computer vision syndrome and its relationship with associated factors among undergraduate students in a public university in Malaysia. This study was conducted between 26 May and 23 June 2022 at National University of Malaysia. A cross-sectional study among 208 undergraduate students from a public university was conducted. A self-reported questionnaire via Google Form was used to capture the data among the undergraduates. The prevalence and associated factors of computer vision syndrome were each evaluated using the validated Computer Vision Syndrome Questionnaire and Computer Vision Syndrome Survey Form 3 questionnaires, respectively, while knowledge of computer vision syndrome was assessed using a validated questionnaire from a previous study. All the data were analyzed using the Statistical Package for Social Sciences version 26.0 software (IBM Corp.; Armonk, NY, USA). The prevalence of computer vision syndrome among undergraduates was 63.0% (n=131), with 91.9% having poor knowledge of computer vision syndrome. Significant associations toward computer vision syndrome were found among undergraduates who have refractive errors/wearing glass (69.3%), screen edge at or above horizontal eye level (79.4%), uncomfortable sitting postures (79.4%) and close eye-screen distance (82.0%). In-depth analysis showed that having refractive errors/wearing glasses (aOR: 1.93; CI: 1.05, 3.57), uncomfortable sitting postures (aOR: 2.01; CI: 1.08, 3.74), and close eye-screen distance (aOR: 2.81; CI: 1.31, 6.05) had odd chance to develop computer vision syndrome. The study's findings denoted that digital device users should have more knowledge of computer vision syndrome and practice the preventable measures, such as proper viewing distance and angle, upright sitting postures, appropriate screen and surrounding illuminance, as well as regular eye check-ups.

PubMed Disclaimer

Conflict of interest statement

Declaration of Interests: The authors have no conflict of interest to declare.

Similar articles

References

    1. Abudawood G. A., Ashi H. M., & Almarzouki N. K. (2020). Computer vision syndrome among undergraduate medical students in King Abdulaziz University, Jeddah, Saudi Arabia. Journal of Ophthalmology, 2020, 1–7. (10.1155/2020/2789376) - DOI
    1. Ahmed M. M., Saad N. E., Almehelmy E. M., & Yousef F. F. (2019). Computer vision syndrome and associated factors among students of faculty of medicine, Cairo University. Medical Journal of Cairo University, 87(7), 4877–4881.
    1. Al Rashidi S. H., & Alhumaidan H. (2017). Computer vision syndrome prevalence, knowledge and associated factors among Saudi Arabia university students: Is it a serious problem? International Journal of Health Sciences, 11(5), 17–19. - PMC - PubMed
    1. Al Tawil L., Aldokhayel S., Zeitouni L., Qadoumi T., Hussein S., & Ahamed S. S. (2020). Prevalence of self-reported computer vision syndrome symptoms and its associated factors among university students. European Journal of Ophthalmology, 30(1), 189–195. (10.1177/1120672118815110) - DOI - PubMed
    1. Alhibshi N., Aljaid A., Alharbi A., Alharazi A., Alghamdi B., & Tashkandi Z. (2021). Prevalence, knowledge and associated factors of computer vision syndrome among electronic devices users in Western Region, Kingdom of Saudi Arabia. International Journal of Medicine in Developing Countries, 5(May), 1296–1302. (10.24911/IJMDC.51-1620136008) - DOI

LinkOut - more resources