Assessment of Computer Vision Syndrome and Associated Factors Among Employees of Ethio Telecom in Addis Ababa, Ethiopia.
| dc.contributor.advisor | Abegaz,Teferi(MPH, PHD) | |
| dc.contributor.advisor | Nega,Ansha (PHD Candidate) | |
| dc.contributor.author | Gizachew,Natnael | |
| dc.date.accessioned | 2024-11-28T09:53:49Z | |
| dc.date.available | 2024-11-28T09:53:49Z | |
| dc.date.issued | 2023-11 | |
| dc.description.abstract | Background: Computer Vision Syndrome is a range of eye and vison related problems which may result from extended use of digital devices such as computers. It is a public health problem, affecting more than 70% of all computer users. In developing countries like Ethiopia, there is a scarcity of studies on computer vision syndrome, particularly in the telecom industry for evidence-based practice. Hence, the study aims to identify the determinants and the prevalence of computer vision syndrome among Ethio telecom workers in Addis Ababa, Ethiopia. Methods: Institution-based cross-sectional study was conducted among Ethio telecom employees in Addis Ababa, Ethiopia from march to June 2023. A total of 497 individuals participated in the study. Data was collected using an interview- administered questionnaire, observational checklist and an illuminance measuring instrument. Data were collected using Kobo toolbox and transferred to Statistical Package for the Social Sciences (SPSS) version 26 for analysis. Multivariable logistic regression was performed to assess the association and control for potential confounders. Results: the prevalence of computer vision syndrome in the last 12 months among the total study participants of 497 was 68.8% [95% CI (64.5, 72.9)]. In Multivariate logistic regression factors that showed significant association were viewing distance, AOR (2.32(1.24-4.33)) and task illumination AOR: (1.78(1.09-2.91)). And Habit of taking break AOR: (0.439(0.281-0.686)) and adjustment of brightness and contrast AOR: (0.39(0.22-0.68)) were also found significantly associated factors of Computer Vision Syndrome. Conclusion: More than half of employees of Ethio telecom in Addis Ababa are affected by computer vision syndrome. Viewing distance, task illumination, habits of taking breaks, and adjustment of brightness and contrast were associated significantly. Results suggest a need for remedial actions to improve conditions of work environment. | |
| dc.identifier.uri | https://etd.aau.edu.et/handle/123456789/3754 | |
| dc.language.iso | en_US | |
| dc.publisher | Addis Ababa University | |
| dc.subject | Computer vision syndrome | |
| dc.subject | prevalence | |
| dc.subject | environmental factors | |
| dc.subject | computer user workers | |
| dc.subject | task illumination | |
| dc.subject | Addis Ababa | |
| dc.subject | Ethiopia. | |
| dc.title | Assessment of Computer Vision Syndrome and Associated Factors Among Employees of Ethio Telecom in Addis Ababa, Ethiopia. | |
| dc.type | Thesis |