Magnitude and Determinants of Computer Vision Syndrome among College Students at a Saudi University.

Abstract

Purpose: To review students' perceived symptom-based computer vision syndrome (CVS) and its determinants and to suggest preventive measures.

Methods: This cross-sectional survey was conducted in 2021 at a university in Central Saudi Arabia. The presence and severity of symptoms related to CVS were investigated. The total CVS symptom score was the outcome variable. The CVS score was correlated to participants' demographics, visual habits when using digital devices, and knowledge about CVS. Due to skewed distribution, a nonparametric method was used for analysis.

Results: Overall, 521 students were surveyed. The prevalence of CVS based on at least one symptom was 96% (95% confidence interval 94.3-97.7). The median score was 8.0 (interquartile range 4.0-12.0). Of the 24 possible CVS scores, 42 students (8%) had scores of 18 or more (severe CVS). Being female (Mann-Whitney [MW] P < 0.001), being older (Spearman P < 0.001), refractive error (MW P < 0.001), the presence of dry eye (MW P < 0.001), using devices other than a desktop computer (KruskalWallis) P = 0.03), and more than 6 h constantly working with a device (MW P = 0.001) were correlated with a higher CVS score. Older age, female, refractive error, and using digital devices for more than 6 h were the independent and significant predictors of CVS in college students.

Conclusion: Most of the students suffered from mild-to-moderate CVS symptoms. Health promotion for prevention and periodic ophthalmic consultations are recommended. Identified predictors should be the focus when implementing strategies to combat CVS in the adolescent Saudi population.