| Sumario: | To estimate the prevalence of Computer Vision Syndrome, an observational descriptive cross-sectional study was conducted among 360 medical students of all six undergraduate years at the University of Jordan between December 2023 and July 2024. A structured questionnaire including validated CVS-Q, demographics, and screen-use questions was administered on campus and online through Google forms. Data were analyzed using IBM SPSS Statistics software (v29). Descriptive statistics, univariate, and multivariate analyses were used. CVS prevalence was found to be 76.9%. Females had higher odds of CVS (OR = 1.834, p = 0.028). Each one-unit increase in screen time was associated with higher odds of CVS (OR = 1.340, p = 0.030). Each one-unit increase in screen distance was associated with higher odds of CVS (OR = 2.153, p = 0.004). Each one-unit increase in room illumination was associated with lower odds of CVS (OR = 0.555, p = 0.015). Those who used at least one protective measure had lower odds of CVS (OR = 0.403, p = 0.006). There was no statistically significant relationship between CVS and academic year, screen brightness, or posture. These findings highlight the need for spreading awareness and promoting targeted interventions to improve eye health.
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