Background and Objectives: Computer Vision Syndrome (CVS) has become a major health problem among university students as a result of extensive electronic device use, but there is limited in-depth risk factor analysis by academic disciplines. The purpose of this study was to determine CVS prevalence, identify risk-associated factors, and investigate discipline-specific differences among university students. Methods: A cross-sectional study was conducted at Jazan University among 427 students of six academic disciplines between 2023 and 2024. Questionnaires validated by collecting demographics, electronic device usage patterns, eye care practices, and CVS symptoms were used to assess the data. Statistical analyses involved chi-square tests and multivariable logistic regression with significance at p < 0.05. Results: Prevalence of CVS was at epidemic proportions at 89.7% (95% CI: 86.8–92.6%), which was much higher than global averages. Considerable inter-disciplinary heterogeneity occurred, from 95.3% in Computer Science to 75.4% in Arts and Humanities students. A strong dose–response gradient was found for duration of device use: 3–4 h (OR = 4.13, 95% CI: 1.13–5.57), 5–6 h (OR = 5.31, 95% CI: 1.46–9.86), and ≥7 h per day (OR = 6.25, 95% CI: 1.74–8.01) versus 1–2 h use. Students >24 years old demonstrated a very high risk (OR = 9.73, 95% CI: 1.53–19.65). Headaches were the most common symptom (68.0%), and adoption of protective measures was low. Conclusions: This work demonstrates epidemic-level prevalence of CVS with unequivocal dose–response relationships and discipline-specific risk patterns, offering evidence-based targets for immediate campus-wide interventions and identifying a vital post-pandemic public health challenge meriting immediate attention.

Background: Sedentary behavior is associated with various adverse health outcomes. Medical students often experience high academic demands, leading to increased sedentary time. This study aimed to evaluate the effectiveness of a mobile app providing real-time feedback in reducing total sedentary time and prolonged sedentary bouts and in promoting physical activity among medical students. Methods: Seventy-seven medical students from Jazan University (mean age: 21.4 years; range: 20–25 years) participated in this study. Participants were assigned to either the control group (n = 40) or the intervention group (n = 37). The intervention group received real-time vibration feedback via a mobile app, prompting movement every 30 min of sedentary time, while the control group received no intervention. Sedentary behavior and physical activity levels were assessed using the Activities Completed Over Time in 24 h. Paired t-tests were conducted to examine within-group changes, and a two-way ANOVA was used to assess the interaction effect of time and group on sedentary time and physical activity. Results: After six weeks, the intervention group showed significant within-group reductions in their total sedentary time of 1.82 h (p = 0.01) and prolonged sedentary bouts of 1.91 h (p = 0.001), while the control group had no significant changes. Physical activity levels did not significantly change within either group. The two-way ANOVA revealed that there was no significant change over time between the two groups in their total sedentary time F (1, 75) = 1.590, p = 0.21, prolonged sedentary bouts F (1, 75) = 3.499, p = 0.06, or physical activity F (1, 75) = 0.565, p = 0.45. Conclusions: Real-time feedback from mobile apps resulted in significant within-group reductions in total and prolonged sedentary time among medical students in the intervention group. Low-cost mobile apps providing real-time feedback may be an effective intervention for reducing sedentary behavior among medical students, potentially improving their health and well-being.