Computer vision syndrome and predictors among computer users in Ethiopia: a systematic review and meta-analysis

Fentahun Adane · Yoseph Merkeb Alamneh · Melaku Desta

42 citations0/0 files storedTropical Medicine and Health

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Abstract

BACKGROUND: A computer is one of the most widely used office tools. The leading occupational health problem of the twenty-first century is computer vision syndrome (CVS). Research findings across Ethiopia on the magnitude and predictors of CVS among computer users are highly variable and inconsistent. Therefore, this study aimed to estimate the overall prevalence of CVS and its predictors among computer users in Ethiopia. METHODS: tests were used. A random-effect meta-analysis model was used. In addition, the association between risk factors and CVS among computer users was examined. RESULTS: Eight eligible studies were included. The pooled prevalence of CVS among computer users in Ethiopia was 73.21% (95% CI 70.32-76.11). Sub-group analysis by profession has shown that the highest prevalence of CVS was observed in bank employees [73.76% (95% CI 70.40-77.13)]. The most common reported symptoms of CVS were blurred vision (34.26%; 95% CI 22.08, 46.43). The previous history of eye disease (95% CI 2.30, 5.47), inappropriate sitting position (95% CI 1.76, 3.22), the frequent use of a computer (95% CI 2.04, 3.60), and using eyeglass/spectacles (95% CI 1.10, 3.91) were significantly associated with CVS among computer users in Ethiopia. CONCLUSIONS: According to this study, computer vision syndrome was high among computer users in Ethiopia. Computer vision syndrome (CVS) was significantly associated with a previous history of eye disease, inappropriate sitting position, frequent use of a computer, and the use of spectacles. Based on the findings, it is suggested that efforts be made to optimize computer exposure time. It is also worth noting that employees should be properly seated when using a computer. Furthermore, people with vision problems should be extra cautious when using a computer. Finally, community awareness of the safety precautions that can be taken to reduce CVS is critical.

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1997Bias in meta-analysis detected by a simple, graphical test 2009The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration 2001Funnel plots for detecting bias in meta-analysis 2008Undue reliance on I 2 in assessing heterogeneity may mislead 2016Computer vision syndrome among computer office workers in a developing country: an evaluation of prevalence and risk factors 2014Computer vision syndrome and associated factors among medical and engineering students in Chennai 2013Computer vision syndrome: a study of knowledge and practices in university students 2014Computer use and vision-related problems among university students in Ajman, United Arab Emirate

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