Prevalence and Associated Factors of Computer Vision Syndrome among Undergraduate Students of Kathmandu Valley, Nepal: A Web-based Cross-sectional Study
DOI:
https://doi.org/10.70280/njph(2024)v1i1.20Keywords:
Computer vision syndrome, Kathmandu, prevalence, studentsAbstract
Background: Computer Vision Syndrome is a collection of vision and eye-related problems like headache, blurred or double vision, eye strain, fatigue, and teary eyes, which can occur when using digital devices. It is one of the most significant public health concerns of the twenty-first century. The objective of this study is to determine the prevalence of computer vision syndrome, common symptoms experienced, and preferred preventive measures while identifying socio-demographic, knowledge, and practice-associated risk factors among undergraduate students of Kathmandu Valley, Nepal.
Methods: A web-based cross-sectional study was conducted from December 2020 to March 2021. A non-probability convenience sampling method was used to collect data from 320 participants via an electronic survey. The factors associated with computer vision syndrome were analyzed using bivariate and multivariate logistic regression models. The adjusted odds ratio was calculated at a 95% confidence interval, and p < 0.05 was considered statistically significant.
Results: The prevalence of computer vision syndrome was found to be 65% (95% CI: 59.5%-70.2%). The most frequently reported symptoms were tired eyes, headache, and eye itchiness. Participants living in a nuclear family (p=0.033) showed a significant association with the prevalence of computer vision syndrome.
Conclusion: Computer Vision Syndrome is a common health issue among undergraduate students. Therefore, it is important to make university students aware of the health implications and preventive measures.
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