Research Article Prevalence of Computer Vision Syndrome and Associated Factors among Instructors in Ethiopian Universities: A Web-Based Cross-Sectional Study Demisu Zenbaba , 1 Biniyam Sahiledengle , 1 Mitiku Bonsa , 1 Yohannes Tekalegn , 1 Jember Azanaw , 2 and Vijay Kumar Chattu 3,4 1 MaddaWalabuUniversityGobaReferralHospital,SchoolofHealthSciences,DepartmentofPublicHealth,BaleGoba,Ethiopia 2 University of Gondar, College of Medicine and Health Science, Department of Environmental Health and Occupational Health and Safety, Gondar, Ethiopia 3 Department of Medicine, Faculty of Medicine, University of Toronto, Toronto, ON M5G 2C4, Canada 4 Department of Public Health, Saveetha Medical College, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai 600077, India Correspondence should be addressed to Demisu Zenbaba; zdemisu@gmail.com Received 19 May 2021; Accepted 21 September 2021; Published 5 October 2021 Academic Editor: Ahmad Mansour Copyright © 2021 Demisu Zenbaba et al. is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Background. In this globalized and high-tech era, the computer has become an integral part of daily life. A constant use of computer for 3 hours and more per day can cause computer vision syndrome (CVS), which is one of the leading occupational hazards of the 21 st century. e visual difficulties are the most common health problems associated with excessive computer use. erefore, this study aimed to assess the prevalence and associated factors of CVS among instructors working in Ethiopian universities. Methods. A web-based cross-sectional study was conducted among 422 university instructors in Ethiopia from February 02 to March 24, 2021. A structured and self-administered questionnaire prepared by Google Forms was shared among instructors through their e-mail addresses, Facebook, and Telegram accounts. Data cleanup and cross-checking were done before analysis using SPSS version 23. A multivariable logistic regression was applied to identify factors associated with CVS using p value <0.05 and 95% confidence interval. Results. Of the total 416 participants, about 293 (70.4%) were reported to have CVS (95% CI: 65.9–74.5%), of which 54.6% were aged 24–33 years. Blurred vision, pain in and around the eye, and eye redness were the main symptoms reported. Working in third-established universities (AOR � 8.44, 95% CI: 5.47–21.45), being female (AOR � 2.69, 95% CI: 1.28–5.64), being 44 years old and above (AOR � 2.73, 95% CI: 1.31–5.70), frequently working on the computer (AOR � 5.51, 95% CI: 2.05–14.81), and sitting in bent back position (AOR � 8.10, 95% CI: 2.42–23.45) were the factors associated with computer vision syndrome. Conclusions. In this study, nearly seven-tenths of instructors in Ethiopian universities reported having symptoms of computer vision syndrome. Working in third-generation universities, being female, age, frequently working on the computer, and sitting in bent back position were statistically significant predictors in computer vision syndrome. erefore, optimizing exposure time, addressing ergonomic hazards associated with computer usage through on-the-job and off-the-job training, and making the safety guidelines accessible for all university instructors would be critical to address the problem. 1. Background In this globalized and hi-tech era, the computer has become an integral part of daily life [1]. ese devices are deliberated as the necessity of 21 st century and being used at workplaces and household level. ere has been a rapid increase in computer-related health problems in the current era of prolonged and extensive computer usage [2, 3]. A constant use of computer for 3 hours and more per day can cause computer vision syndrome (CVS), which is defined as a complicated eye and vision difficulty linked to the activities thatstressthenearbyvisionduringtheuseofacomputer[4]. Hindawi e Scientific World Journal Volume 2021, Article ID 3384332, 8 pages https://doi.org/10.1155/2021/3384332