Zairina A. RahmanSuhaila Sanip2024-05-282024-05-282011-092162-1381 (Online)2162-1357(Print)10.30845/ijbhthttps://oarep.usim.edu.my/handle/123456789/7361Introduction: Computer vision syndrome (CVS) is an eyes and vision problems related to the activities that experienced in relation/during the use of computer. This study aims to identify sociodemographic and computer related predictors for CVS. Methods: Cross-sectional study and face-to-face interviews and workstation assessment were employed guided by questionnaire. Results: Finding showed that 68.1% reported CVS symptoms. Only 19.3% of the respondents put their computer on computer table and 61.9% took at least 10 minutes rest while on continuous one hour computer work. Multivariate logistic regression analysis revealed that the predictors for CVS were Female (OR=2.3), age <27 years old (OR=2.89), use correction spectacle/lenses (OR=1.91), not taking regular rest (OR=1.78) and use computer > 7 hours per day (OR=2.01). Conclusion: Use of correction lenses and long duration on continuous computer work predispose a person to get CVS. Resting their eyes in between continuous computer work will be helpful to reduce possibility to get CVSenvision syndrome, computer, eye strain, ocular symptomsArticle849112