Computer Vision Syndrome: Prevalence And Predictors Among College Staff And Students

Gupta, Neha; Moudgil, Tania; Sharma, Bhuwan

doi:10.9790/0853-1509022831

Cited by 5 publications

(8 citation statements)

References 11 publications

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“…Study by Ranasinghe et al, among computer office workers in Sri Lanka also reported that duration of occupation was significantly associated with CVS [10]. Gupta et al, also found similar result, in which significant association was observed between the symptoms and years of computer usage [5].…”

Section: Discussionmentioning

confidence: 68%

“…For instance, secretaries, accountants, bankers, academicians, journalists, engineers, flight controllers and graphic artists are professionals who cannot work without the help of computer [3].These days, it is not uncommon to see secretary employees spending a significant part of their day glued to computer screens because of their occupation. However, working on it is not free from health hazards, especially, close and prolonged use of computer is known to cause medical problem termed "Computer Vision Syndrome" [4,5].…”

Section: Introductionmentioning

confidence: 99%

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Prevalence and Predictors of Computer Vision Syndrome among Secretary Employees working in Jimma University, Southwest Ethiopia: A Cross Sectional Study at Jimma University

Lemma¹,

Sadik²,

Markos³

et al. 2019

Preprint

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Background Computer vision syndrome (CVS) is a group of ocular and extra-ocular symptoms experienced in relation to computer use. Nearly 60 million people suffer from CVS globally with a million of new cases occurring each year. The discomfort associated with this disorder result in increased error rate, reduced job satisfaction and work productivity. The problem has become a workplace concern among computer users especially in those occupationally exposed. The magnitude of CVS and its determinants are not well known in Ethiopia. Therefore, the aim of this study was to determine prevalence and predictors of computer vision syndrome among secretaries working in Jimma University, Ethiopia. Methods An institution based cross-sectional study was conducted on a total of 217 secretary employees working in Jimma University. An interviewer administered pre-tested structured questionnaire was used to collect data. Collected data was analyzed using SPSS version 20.0. Multivariable logistic regression analysis was done to identify the independent predictors for CVS. Results A total of 217 secretaries were included in the study and all of them were females. The prevalence of CVS among study participants was 75.6%. Blurred vision 88(40.6%), extra-ocular symptoms 75(34.6%), eyestrain 66(30.4%) and headache 63(29.0%) were the most commonly reported symptoms of CVS. Factors significantly associated with CVS were duration of occupation (AOR=3.165; 95% CI=1.16, 8.57), average time spent on computer per day (AOR=3.163; 95% CI=1.52, 6.59), computer brightness adjustments (AOR=2.81; 95% CI=1.22, 6.47) and awareness on CVS and its prevention measures (AOR=5.385; 95% CI= 2.55, 11.35). Conclusion This study revealed that CVS was highly prevalent among secretary employees working in Jimma University. Duration of occupation, average time spent on computer per day, awareness about CVS and its prevention measures and adjustments of computer brightness were the independent factors associated with computer vision syndrome. Secretaries should aware that CVS is a problem that can be prevented by proper use of computer at work place and therefore a means to increase their awareness should be considered.

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Section: Discussionmentioning

confidence: 68%

Section: Introductionmentioning

confidence: 99%

Prevalence and Predictors of Computer Vision Syndrome among Secretary Employees working in Jimma University, Southwest Ethiopia: A Cross Sectional Study at Jimma University

Lemma¹,

Sadik²,

Markos³

et al. 2019

Preprint

View full text Add to dashboard Cite

show abstract

“…It is prevalent among computer users due to prolonged period of electronic devices use without proper ob-servation of the existing measures as a result of benefits outweighing the risk. The use of computers, phones and tablets has become more popular, however most users are not aware of the consequences and the severity of CVS progresses slowly without noticing and may worsen daily activities if measures www.journals.viamedica.pl/ophthalmology_journal are not properly taken [3][4][5][6][7]. Currently, at least 1 billion people have a vision impairment that could have been prevented or has yet to be addressed [8].…”

Section: Introductionmentioning

confidence: 99%

Uptake of conventional interventions, level of awareness and perception on computer vision syndrome: a cross-sectional study among University students, Kenya

2021

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“…Computer vision syndrome has been shown to arise from complicated pathophysiological mechanisms such as ocular surface, accommodative and extra ocular mechanisms 5 . Environmental factors have been shown to play an important role in the pathophysiological mechanisms for CVS.…”

Section: Introductionmentioning

confidence: 99%

Association Between Visual Acuity, Ocular Pathology and Refractive Error with Computer Vision Syndrome: Cross Sectional University Study in Kenya

Muma¹,

Aduda²,

Ogola³

2020

Preprint

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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 significantly associated with computer vision syndrome (p=.04). Ocular condition like sub conjunctival hemorrhage was not significantly 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.

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Computer Vision Syndrome: Prevalence And Predictors Among College Staff And Students

Cited by 5 publications

References 11 publications

Prevalence and Predictors of Computer Vision Syndrome among Secretary Employees working in Jimma University, Southwest Ethiopia: A Cross Sectional Study at Jimma University

Prevalence and Predictors of Computer Vision Syndrome among Secretary Employees working in Jimma University, Southwest Ethiopia: A Cross Sectional Study at Jimma University

Uptake of conventional interventions, level of awareness and perception on computer vision syndrome: a cross-sectional study among University students, Kenya

Association Between Visual Acuity, Ocular Pathology and Refractive Error with Computer Vision Syndrome: Cross Sectional University Study in Kenya

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