In the modern era, rapidly developing technologies have led academicians to engage in a wide
range of activities involving prolonged and repetitive computer use, for writing, reading,
preparing notes, manuscript preparation, administrative duties, and community service
programs. Therefore this study aimed to assess the prevalence and associated risk factors of
computer vision syndrome among academic staff of Yenepoya Deemed to be University. This
institutional-based, cross-sectional study was conducted from September 2023 to April 2024.
A Purposive sampling technique was used to select 96 study participants. Data were collected
using a pretested self-administered structured questionnaire. In this study, result shows that 96
academic staff members participated, with the majority being female (73.96%) and a median
age of approximately 30 years. However, despite these measures, the prevalence of computer
vision syndrome among the academic staff was high (79.16 %). Common symptoms include
eye strain (44.8%), headaches (38.5%), and eye fatigue (22.9%). In Logistic regressionanalysis, taking breaks [OR 1.717,95% CI (0.408,7.229)], working hours with computer
[OR2.154, 95%CI (0.693,6.693)], usage of an anti-glare screen [OR = 1.130, 95% CI (0.264,
4.849)] are show potential association with the likelihood of developing computer vision
syndrome, but these associations were not statistically significant. Study concluded that
Computer vision syndrome is common among academics. Universities can run campaigns to
inform everyone about computer vision syndrome and its effects. Spreading awareness and
educating people can help reduce computer vision syndrome problems in Universities.
Keywords: Computer Vision Syndrome, Prevalence, Associate factors, Academician
Publication date: 01/09/2025
https://ijbpas.com/pdf/2025/September/MS_IJBPAS_2025_9422.pdf
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https://doi.org/10.31032/IJBPAS/2025/14.9.9422