Computer Visual Syndrome in students of the EEA (Escuela de Eenfermería Angelópolis)

Introduction: Nowadays, the use of technology is essential for contemporary society, and even more for the students.1 There are several studies that show a strong association between the prolonged use of LED screens and ophthalmological symptoms included in the computer visual syndrome (CVS).2 Objective: Determine the presence of SVI in students aged 15-25 from the EEA using the CVS questionnaire (CVS-Q).3 Methodology: An observational, descriptive and cross-sectional study was carried out during the period January-February 2022. A random sample of 320 participants was selected and the CVS questionnaire (CVS-Q)3 was applied to students between the ages of 15 and 25 belonging to the EEA. Results: A total of 320 questionnaires were applied. According to the CVS-Q criteria, the participants were grouped into two groups: 1) CVS positive [CVS+] and 2) CVS negative [CVS-]. 258 patients were SVI+ (80.62%) and 62 SVI- (19.38%). The computer was the most used device in both groups, the SVI+ patients had a mean of 11.6 hours per day while in the SVI- it was 10.2 hours. 70.96% of the students with SVI- and 53.1% with SVI- used their portable device greater than 20 cm. In addition, in patients with SVI+, there was a higher percentage of continuous use of their device (74.03%) compared to SVI- (30.64%). Conclusion: The prevalence of SVI was much higher than that reported by other authors4; possibly this increase is due to the COVID-195 pandemic, since the students of this institution were subjected to frequent virtual classes and during long hours. Further studies are needed without the factor “virtual and continuous classes” to compare results. References 1. Araoz, E., Aquise, J., Vilca, S., & Arraya, K. (2022). Computer visual síndrome in Nursing students of a Peruvian public university during the health emergency. Live Health Magazine, 5(14), 573-583. 2. Custodio, K. (2021). Significance of computer visual syndrome due to prolonged exposure to electronic devices. Journal of the Faculty of Human Medicine, 21(2), 463-464. http://doi.org/10.25176/rfmh.v21i2.3611 . 3. Crespo M, Pérez E, García J. & Verdú J. Computer Visual Syndrome Questionnaire (CVS-Q). University of Alicante. 2018 [online, January 2020]. URL available at: http://hdl.handle.net/10045/115197 . 4. López, A., Murillo, C., & Rojas, A. (2022). Visual health and its relationship with the computer syndrome. RECIAMUC, 6(2), 280-286. 5. Erdinest, N.& Berkow, D. (2021). COMPUTER VISION SYNDROME. Harefuah, 160(6), 386-392. Thanks to the University of Alicante, to the authors Segui MM, Cabrero-García J, Crespo A, Verdú J and Ronda E [J Clin Epidemiol. 2015 Jun;68(6):662-73], and especially to Fundación IMIM for providing the sublicense of CVS-Q. This is the full abstract presented at the American Physiology Summit 2023 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.