Computer Vision Syndrome (CVS) and its Associated Risk Factors among Undergraduate Medical Students in Midst of COVID-19

Abstract

Purpose: To determine the frequency of computer vision syndrome and its associated risk factors among under graduate medical students. Study Design: Descriptive Cross–sectional study. Place and Duration of Study: Gujranwala Medical College and Rawalpindi Medical University, Pakistan from 5th August to 28th August, 2020. Methods: A validated self-designed questionnaire was used for this study. The survey instrument was tailored from a published questionnaire which comprised of questions on demographics, frequency of symptoms of computer vision syndrome, pattern of computer usage and ergonomic practices. Final analysis was run on 326 undergraduate medical students. Results: There were 228 (69%) females and 98 (30%) males with age range between 17 to 25 years. Overall frequency of CVS was found to be 98.7%. Twenty-nine percent students experienced extra ocular complaints and 71% had ocular symptoms. Symptoms of CVS were more commonly observed among those using desktop/laptop at less than forearm length (p = 0.001). Distance of < 12 inches from mobile phone was found to be associated with eye irritation and neck shoulder pain (p = 0.001). Frequency of break of more than 60 minutes was found to be significantly associated with eye irritation (p = 0.002) and excessive blinking and light sensitivity (p = 0.001). The students not using ergonomically designed work station were found to suffer with more symptoms of CVS as compared to those using ergonomically designed work station (p = 0.049). Conclusion: Health issues related to excessive use of digital devices has become alarmingly high during COVID-19 pandemic. Symptoms of CVS are significantly associated with distance from digital device and less frequent break intervals.