Prevalence of Computer Vision Syndrome and Associated Factors among Instructors in Ethiopian Universities: A Web-Based Cross-Sectional Study
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 21st century. The visual difficulties ar...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2021/3384332 |
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| author | Demisu Zenbaba Biniyam Sahiledengle Mitiku Bonsa Yohannes Tekalegn Jember Azanaw Vijay Kumar Chattu |
| author_facet | Demisu Zenbaba Biniyam Sahiledengle Mitiku Bonsa Yohannes Tekalegn Jember Azanaw Vijay Kumar Chattu |
| author_sort | Demisu Zenbaba |
| collection | DOAJ |
| description | 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 21st century. The visual difficulties are the most common health problems associated with excessive computer use. Therefore, 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. Therefore, 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. |
| format | Article |
| id | doaj-art-e4a6c585d53f4adebf7007a273952c84 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-e4a6c585d53f4adebf7007a273952c842025-02-03T00:59:07ZengWileyThe Scientific World Journal2356-61401537-744X2021-01-01202110.1155/2021/33843323384332Prevalence of Computer Vision Syndrome and Associated Factors among Instructors in Ethiopian Universities: A Web-Based Cross-Sectional StudyDemisu Zenbaba0Biniyam Sahiledengle1Mitiku Bonsa2Yohannes Tekalegn3Jember Azanaw4Vijay Kumar Chattu5Madda Walabu University Goba Referral Hospital, School of Health Sciences, Department of Public Health, Bale Goba, EthiopiaMadda Walabu University Goba Referral Hospital, School of Health Sciences, Department of Public Health, Bale Goba, EthiopiaMadda Walabu University Goba Referral Hospital, School of Health Sciences, Department of Public Health, Bale Goba, EthiopiaMadda Walabu University Goba Referral Hospital, School of Health Sciences, Department of Public Health, Bale Goba, EthiopiaUniversity of Gondar, College of Medicine and Health Science, Department of Environmental Health and Occupational Health and Safety, Gondar, EthiopiaDepartment of Medicine, Faculty of Medicine, University of Toronto, Toronto, ON M5G 2C4, CanadaBackground. 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 21st century. The visual difficulties are the most common health problems associated with excessive computer use. Therefore, 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. Therefore, 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.http://dx.doi.org/10.1155/2021/3384332 |
| spellingShingle | Demisu Zenbaba Biniyam Sahiledengle Mitiku Bonsa Yohannes Tekalegn Jember Azanaw Vijay Kumar Chattu Prevalence of Computer Vision Syndrome and Associated Factors among Instructors in Ethiopian Universities: A Web-Based Cross-Sectional Study The Scientific World Journal |
| title | Prevalence of Computer Vision Syndrome and Associated Factors among Instructors in Ethiopian Universities: A Web-Based Cross-Sectional Study |
| title_full | Prevalence of Computer Vision Syndrome and Associated Factors among Instructors in Ethiopian Universities: A Web-Based Cross-Sectional Study |
| title_fullStr | Prevalence of Computer Vision Syndrome and Associated Factors among Instructors in Ethiopian Universities: A Web-Based Cross-Sectional Study |
| title_full_unstemmed | Prevalence of Computer Vision Syndrome and Associated Factors among Instructors in Ethiopian Universities: A Web-Based Cross-Sectional Study |
| title_short | Prevalence of Computer Vision Syndrome and Associated Factors among Instructors in Ethiopian Universities: A Web-Based Cross-Sectional Study |
| title_sort | prevalence of computer vision syndrome and associated factors among instructors in ethiopian universities a web based cross sectional study |
| url | http://dx.doi.org/10.1155/2021/3384332 |
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