Computer vision syndrome among Sudanese medical students: A growing medical issue in the digital world

Abstract

Computer Vision Syndrome (CVS) refers to a set of eye-related symptoms that arise from prolonged computer usage. A survey was conducted to investigate the demographic characteristics, factors contributing to, and preventive measures against CVS. Out of 159 participants, 31.0% experienced seven or more symptoms, indicating a notable prevalence. The study found no significant correlation between age or academic years and CVS occurrence (P values of 0.481 and 0.392, respectively). However, gender exhibited a statistically significant relationship, with females students showing a higher prevalence than males (P-value=0.018; τ=0.105*). Notably, the distance from the screen had a highly significant inverse correlation with CVS occurrence (P-value=0.000; τ=−0.207**), indicating that greater distance reduced the risk. Additionally, using a screen filter (P-value=0.000; τ=0.184**) and adjusting screen brightness (P-value=0.017; τ=0.101*) were associated with CVS occurrence. Among preventive measures, only the use of an anti-glare screen showed a significant association with reducing CVS risk (P-value=0.018; τ=−0.099*). Given these findings, raising awareness about CVS among medical students is recommended, especially as curricula in medical colleges evolve.