ArticleEnvironmental health insights2022
Prevalence and Associated Factors of Computer Vision Syndrome Among Academic Staff in the University of Gondar, Northwest Ethiopia: An Institution-Based Cross-Sectional Study.
Article in Environmental health insights, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.
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Who cites it
18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 34 citations in OpenAlex.
- Occupational exposure to video display terminals: a systematic review of ocular and visual health effects and associated risk factors.Journal of occupational health · 2026Pooled it
- Prevalence of computer vision syndrome during the COVID-19 pandemic: a systematic review and meta-analysis.BMC public health · 2024Pooled it
- Prevalence of computer vision syndrome: A systematic review and meta-analysis.Journal of optometryPooled it
- Prevalence and Risk Factors of Computer Vision Syndrome Among Bankers in Bangladesh.Public health challenges · 2026Article
- Computer vision syndrome and ergonomic risk factors among administrative workers in public health care facilities: a cross-sectional occupational study.Journal of occupational health · 2026Article
- Cervical Oculopathy: The Cervical Spine Etiology of Visual Symptoms and Eye Diseases-A Hypothesis Exploring Mechanisms Linking the Neck and the Eye.Diagnostics (Basel, Switzerland) · 2025Article
- Low back pain among academic staff at a university in Ethiopia: a cross-sectional study.BMJ open · 2025Article
- Article
- Assessment of computer vision syndrome and associated factors among employees of Ethio-telecom in Addis Ababa, Ethiopia.Frontiers in public health · 2025Article
- Viewing distance, font size and symptoms of eyestrain in non-presbyopic and presbyopic smartphone users.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2025Article
- CVS-Q teen: an adapted, reliable and validated tool to assess computer vision syndrome in adolescents.Scientific reports · 2024Article
- Impact of online learning during COVID-19 pandemic on digital device related ocular health.Heliyon · 2024Article
- Visual, ocular surface, and extraocular diagnostic criteria for determining the prevalence of computer vision syndrome: a cross-sectional smart-survey-based study.Medical hypothesis, discovery & innovation ophthalmology journal · 2024Article
- Computer vision syndrome and associated factors among urban and rural bankers in Trinidad and Tobago.PeerJ · 2024Article
- Computer vision syndrome and ergonomic risk factors among workers of the Commercial Bank of Ethiopia in Addis Ababa, Ethiopia: an institutional-based cross-sectional study.Frontiers in public health · 2024Article
- Article
- Digital Eye Strain among Peruvian Nursing Students: Prevalence and Associated Factors.International journal of environmental research and public health · 2023Article
- Exploratory machine learning models for computer vision syndrome in occupational health.Digital healthArticle
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Computer vision syndrome (CVS) is the leading occupational hazard of the 21st century, which causes the critical public health issues in the present era. In developing countries, including Ethiopia, data on the proportion and the causes of CVS are scarce among academic staff for policy conclusions. Accordingly, this study was conducted to determine the prevalence and factors associated with CVS among academic staff at the University of Gondar. Methods: Institution-based cross-sectional study design was conducted from March to April, 2021. A simple random sampling technique was used to select 525 study participants. Data were collected using a pre-tested self-administered structured questionnaire. The collected data were then entered into EpiData version 4.6 and analyzed using STATA version 14 software. The association between dependent and independent variables was computed with a binary logistic regression. Results: The prevalence of CVS was found to be 78.8% out of a total of 500 participants [95% CI (74.95, 82.30)], of which the majority (71.60%) of them were males. Using a computer for more than 9 years [AOR = 1.65, 95% CI (1.01, 2.71)], using visual display terminals [AOR = 2.63, 95% CI (1.60, 4.32)], and working in improper illumination levels (300 and >500 lux) [AOR = 2.47, 95% CI (1.47, 4.33)] increased the risk of CVS, whereas, Using eye droplets [AOR = 0.30, 95% CI (0.15, 0.58)] and taking rest breaks [AOR = 0.55, 95% CI (0.34-0.92)] were protective factors. Conclusion: This study disclosed that CVS was common among academicians. In the current study, the manifestation of CVS was affected by years of computer use, visual display terminals use, workplace illumination level, rest breaks, and eye droplets. Taking rest breaks in between the work, reducing exposure to display screens, use of eye drops, and optimizing workplace illumination levels are recommended to reduce the problem.
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