Background: Computer users are at high risk to experience eye discomfort and vision problems when viewing digital screens for extended periods. These problems are collectively termed Computer Vision Syndrome (CVS). Nearly more than 60 million people suffer from CVS globally with a million new cases occurring each year. The magnitude of CVS and its determinants are not well known in Ethiopia. Thus, the aim of the study was to determine the prevalence of CVS and its predictors among secretary employees working in Jimma University, Ethiopia. Methods: An institution-based cross-sectional study was conducted on 217 secretary employees working at Jimma University. An interviewer-administered structured questionnaire was used to collect data. Data was collected through face to face interview. The collected data first entered Epi-data version 3.1 and then transformed into SPSS version 20.0 for data analysis. Binary logistic regressions were carried out to determine variables associated with CVS. Results: The prevalence of CVS among study participants was 75.6% (95% CI=70.0, 81.1). 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. Duration of occupation >10 years (Adjusted odds ratio (AOR) =3.165; 95%CI=1.16,) working on the computer on average for >6 hours per day (AOR=3.163; 95%CI=1.52, 6.59), not adjusting computer screen brightness (AOR=2.81; 95%CI=1.22, 6.47) and lack of awareness about CVS and its prevention measures (AOR=5.385; 95%CI= 2.55, 11.35) were factors at higher risk of developing CVS. Conclusion: CVS is highly prevalent among secretary employees working at Jimma University. Arranging training program/health education to increase awareness on CVS and its prevention measures might minimize the risk of suffering CVS.
| Published in | International Journal of Sensors and Sensor Networks (Volume 9, Issue 1) |
| DOI | 10.11648/j.ijssn.20210901.12 |
| Page(s) | 11-18 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Computer Vision Syndrome, Predictors, Work Place, Jimma University
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APA Style
Mekonnin Tesfa, Mohammed Ibrahim, Yohannes Markos, Ashete Adere, Leyla Temam. (2021). Computer Vision Syndrome and Its Predictors Among Secretary Employees Working in Jimma University, Southwest Ethiopia. International Journal of Sensors and Sensor Networks, 9(1), 11-18. https://doi.org/10.11648/j.ijssn.20210901.12
ACS Style
Mekonnin Tesfa; Mohammed Ibrahim; Yohannes Markos; Ashete Adere; Leyla Temam. Computer Vision Syndrome and Its Predictors Among Secretary Employees Working in Jimma University, Southwest Ethiopia. Int. J. Sens. Sens. Netw. 2021, 9(1), 11-18. doi: 10.11648/j.ijssn.20210901.12
AMA Style
Mekonnin Tesfa, Mohammed Ibrahim, Yohannes Markos, Ashete Adere, Leyla Temam. Computer Vision Syndrome and Its Predictors Among Secretary Employees Working in Jimma University, Southwest Ethiopia. Int J Sens Sens Netw. 2021;9(1):11-18. doi: 10.11648/j.ijssn.20210901.12
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Download@article{10.11648/j.ijssn.20210901.12,
author = {Mekonnin Tesfa and Mohammed Ibrahim and Yohannes Markos and Ashete Adere and Leyla Temam},
title = {Computer Vision Syndrome and Its Predictors Among Secretary Employees Working in Jimma University, Southwest Ethiopia},
journal = {International Journal of Sensors and Sensor Networks},
volume = {9},
number = {1},
pages = {11-18},
doi = {10.11648/j.ijssn.20210901.12},
url = {https://doi.org/10.11648/j.ijssn.20210901.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijssn.20210901.12},
abstract = {Background: Computer users are at high risk to experience eye discomfort and vision problems when viewing digital screens for extended periods. These problems are collectively termed Computer Vision Syndrome (CVS). Nearly more than 60 million people suffer from CVS globally with a million new cases occurring each year. The magnitude of CVS and its determinants are not well known in Ethiopia. Thus, the aim of the study was to determine the prevalence of CVS and its predictors among secretary employees working in Jimma University, Ethiopia. Methods: An institution-based cross-sectional study was conducted on 217 secretary employees working at Jimma University. An interviewer-administered structured questionnaire was used to collect data. Data was collected through face to face interview. The collected data first entered Epi-data version 3.1 and then transformed into SPSS version 20.0 for data analysis. Binary logistic regressions were carried out to determine variables associated with CVS. Results: The prevalence of CVS among study participants was 75.6% (95% CI=70.0, 81.1). 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. Duration of occupation >10 years (Adjusted odds ratio (AOR) =3.165; 95%CI=1.16,) working on the computer on average for >6 hours per day (AOR=3.163; 95%CI=1.52, 6.59), not adjusting computer screen brightness (AOR=2.81; 95%CI=1.22, 6.47) and lack of awareness about CVS and its prevention measures (AOR=5.385; 95%CI= 2.55, 11.35) were factors at higher risk of developing CVS. Conclusion: CVS is highly prevalent among secretary employees working at Jimma University. Arranging training program/health education to increase awareness on CVS and its prevention measures might minimize the risk of suffering CVS.},
year = {2021}
}
TY - JOUR T1 - Computer Vision Syndrome and Its Predictors Among Secretary Employees Working in Jimma University, Southwest Ethiopia AU - Mekonnin Tesfa AU - Mohammed Ibrahim AU - Yohannes Markos AU - Ashete Adere AU - Leyla Temam Y1 - 2021/01/22 PY - 2021 N1 - https://doi.org/10.11648/j.ijssn.20210901.12 DO - 10.11648/j.ijssn.20210901.12 T2 - International Journal of Sensors and Sensor Networks JF - International Journal of Sensors and Sensor Networks JO - International Journal of Sensors and Sensor Networks SP - 11 EP - 18 PB - Science Publishing Group SN - 2329-1788 UR - https://doi.org/10.11648/j.ijssn.20210901.12 AB - Background: Computer users are at high risk to experience eye discomfort and vision problems when viewing digital screens for extended periods. These problems are collectively termed Computer Vision Syndrome (CVS). Nearly more than 60 million people suffer from CVS globally with a million new cases occurring each year. The magnitude of CVS and its determinants are not well known in Ethiopia. Thus, the aim of the study was to determine the prevalence of CVS and its predictors among secretary employees working in Jimma University, Ethiopia. Methods: An institution-based cross-sectional study was conducted on 217 secretary employees working at Jimma University. An interviewer-administered structured questionnaire was used to collect data. Data was collected through face to face interview. The collected data first entered Epi-data version 3.1 and then transformed into SPSS version 20.0 for data analysis. Binary logistic regressions were carried out to determine variables associated with CVS. Results: The prevalence of CVS among study participants was 75.6% (95% CI=70.0, 81.1). 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. Duration of occupation >10 years (Adjusted odds ratio (AOR) =3.165; 95%CI=1.16,) working on the computer on average for >6 hours per day (AOR=3.163; 95%CI=1.52, 6.59), not adjusting computer screen brightness (AOR=2.81; 95%CI=1.22, 6.47) and lack of awareness about CVS and its prevention measures (AOR=5.385; 95%CI= 2.55, 11.35) were factors at higher risk of developing CVS. Conclusion: CVS is highly prevalent among secretary employees working at Jimma University. Arranging training program/health education to increase awareness on CVS and its prevention measures might minimize the risk of suffering CVS. VL - 9 IS - 1 ER -
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