Prevalence of Digital Eye Strain Among University Students and Its Association with Virtual Learning During the COVID-19 Pandemic.

Abstract

The prolonged use of digital devices is a major risk factor for digital eye strain (DES) syndrome. To estimate the prevalence of DES symptoms among students at Imam Abdulrahman University who use digital devices for virtual learning and leisure activities. This was a retrospective cross-sectional study conducted by asking medical students of Imam Abdulrahman bin Faisal University to complete a self-administered online questionnaire. The questionnaire was used to determine the effect of the hours spent on digital devices and other factors, such as screen distance and not using artificial tears, on the development of DES. The severity (moderate or severe) and frequency (occasionally, always, or never) of 16 eye strain-related symptoms, including eye pain, headache, and itching, were evaluated by using the Computer Vision Syndrome Questionnaire. The overall prevalence of DES in the sample was found to be 68.53%. The largest proportion of students were found to have mild DES (43.20%), and only 11% had severe DES. The most common symptoms reported in our sample were headache, dryness, and burning. Female gender, using smartphones for online classes, and not using eye lubricants were significantly associated with increased severity of DES. In the wake of the COVID-19 pandemic, virtual learning has become an integral part of education, leading to increased use of digital technology. The aim of this study was to investigate the impact of virtual learning on eye strain and to determine the prevalence and effects of DES. A questionnaire was administered to participants, and the findings revealed a DES prevalence of 68.53%. The use of eye drops for lubrication and smartphones for classes was significantly associated with DES. Furthermore, females were found to be more susceptible to severe DES symptoms than males. The development of a tool such as the Computer Vision Syndrome Questionnaire to predict DES prevalence could reduce clinic time and resources by minimizing unnecessary follow-up and ophthalmology referrals.