Assessment of Prevalence and Awareness of Digital Eye Strain amongst a University Student Population in India

Background: To estimate the prevalence of digital eye strain (DES), also known as computer vision syndrome (CVS), and assess awareness of protective measures among university students. Methods: A cross-sectional observational study was conducted using an online questionnaire (Google Forms) among students at Manipal University, Karnataka. The Computer Vision Syndrome Scale (CVSS17) was employed to quantify symptoms (CVSS score range 0–53; CVSS defined as score ≥ 6). Demographic data and awareness of DES were collected. Data were analyzed using SPSS/Jamovi, employing descriptive statistics, t-tests, chi-square tests, and ANOVA; p < 0.05 was considered statistically significant. Results: The mean CVSS17 score for Computer Vision Syndrome (CVS) among university students was 24.70 (out of 53). The majority (78.6%) exhibited only Level 1 or 2 CVS. A statistically significantly higher CVSS17 score was observed in female students (p = 0.001848), indicating a greater prevalence and severity of the condition. There was no significant difference in CVS presence or severity across medical, paramedical, and non-medical groups. Awareness of CVS was low at only 34.35% overall. Blurry vision, flashes, and headaches were the most commonly assumed CVS symptoms. Students perceived increased screen time and lack of breaks as major aggravating factors, while reducing screen time and using the 20-20-20 rule were considered key relieving factors. Conclusion: Digital eye strain symptoms were highly prevalent, particularly among female students. Notably, awareness was limited amongst medical students. These findings underscore the need for health education and knowledge about preventive strategies in university settings.