dc.contributor.author | Shadrack Lusi Muma, Dickens Omondi Aduda, Patrick Onyango Ogola | |
dc.date.accessioned | 2021-06-11T08:42:02Z | |
dc.date.available | 2021-06-11T08:42:02Z | |
dc.date.issued | 2020 | |
dc.identifier.uri | https://repository.maseno.ac.ke/handle/123456789/3977 | |
dc.description.abstract | Background: Numerous factors have been shown to reduce symptomatic and non-symptomatic forms for
computer vision syndrome. However, little is known on the impact among computer users diagnosed with
severe symptoms of computer vision syndrome. The study assessed whether reduced visual acuity,
ocular pathology and refractive error are associated with computer vision syndrome.
Methods: A cross sectional university based study in Kenya. Seven hundred and eighty three participants
were included in the study. Visual acuity was determined using snellens chart and converted to logMAR
chart. Ocular pathology was determined through comprehensive examination using a slit lamp. Computer
vision syndrome was determined using a validated questionnaire. Finally Retinoscopy was conducted to
determine the type of refractive error.
Results: Participants with refractive error above ± 0.50 dioptres had a greater odds, multivariate adjusted
ratio 0.73 (95% CI 0.63-0.90) for developing computer vision syndrome. Similar to visual acuity with
multivariate adjusted odds ratio of 0.31 (95% CI 0.24-0.47) and ocular pathologies being signicantly
associated with computer vision syndrome (p=.04). Ocular condition like sub conjunctival hemorrhage
was not signicantly associated with computer vision syndrome (P=.12).
Conclusion: Reduced visual acuity, presence of ocular pathology and refractive error were associated with
greater likelihood of computer vision syndrome. Particularly among those who had never had optical
correction. Eye care providers are well placed to come up with proper diagnosis of CVS. | en_US |
dc.publisher | Research squire | en_US |
dc.title | Association Between Visual Acuity, Ocular Pathology and Refractive Error with Computer Vision Syndrome: Cross Sectional University Study in Kenya | en_US |
dc.type | Article | en_US |