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Computer Vision Syndrome Among Medical Students at the University of Khartoum, Sudan: Prevalence and Associated Factors

Background and aims Regular continuous uninterrupted use of electronic devices, such as smartphones, tablets, and computers, can result in a spectrum of vision-related symptoms known as computer vision syndrome. Students today can readily access information and books on their smartphones and compute...

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Autor principal: Gadain Hassan, Hassan A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10249515/
https://www.ncbi.nlm.nih.gov/pubmed/37303411
http://dx.doi.org/10.7759/cureus.38762
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author Gadain Hassan, Hassan A
author_facet Gadain Hassan, Hassan A
author_sort Gadain Hassan, Hassan A
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description Background and aims Regular continuous uninterrupted use of electronic devices, such as smartphones, tablets, and computers, can result in a spectrum of vision-related symptoms known as computer vision syndrome. Students today can readily access information and books on their smartphones and computers, which reduces their reliance on printed texts. Numerous muscle-related and ocular complaints could arise from this. The primary objective of this study was to estimate the prevalence of computer vision syndrome symptoms among medical students at the University of Khartoum and to identify its contributing factors. The secondary objective was to evaluate practices and knowledge related to computer vision syndrome prevention. Methods This study is a facility-based cross-sectional observation aimed at describing medical students' characteristics at the University of Khartoum. The sampling strategy employed was stratified random sampling, and a structured online questionnaire was used to collect the data. A total of 149 students completed the self-administered questionnaire. The questionnaire included questions on sociodemographic data, validated symptoms of computer vision syndrome, and factors associated with the syndrome's development. Data were analyzed using SPSS Statistics (Armonk, NY: IBM Corp.), simple descriptive statistics were calculated, and odds ratios and Pearson’s chi-square test were employed to examine and quantify the association between variables. Results Of the 149 participants, 58.4% were female, while males made up 41.6% of the study sample. The prevalence of computer vision syndrome has been found to be 94%, and 72.4% of the students reported experiencing at least three symptoms of computer vision syndrome. Neck and shoulder pain was the most commonly reported symptom (78.5%), followed by headache (70.5%), while the least reported symptom was eye redness (36.2%). The majority of students (81.2%) used electronic devices for five or more hours a day, and the most common posture while using electronic devices was lying down, as reported by 54.4% of the students. A total of 68% of the medical students in this study reported keeping a distance that was shorter than the suggested 40 centimeters from the screen, and only 18.1% were aware of the 20-20-20 rule (every 20 minutes look at an object 20 feet away for 20 seconds). The seating position has been found to be significantly associated with the number of symptoms experienced (p=0.012); sitting with a bent back was 4.6 times more likely to cause more than three symptoms when compared to sitting upright with a straight back (OR=4.643; 95% CI: 1.63-13.21; p=0.004). Conclusion There was a very high prevalence of computer vision syndrome among medical students at the University of Khartoum. Most students had poor awareness and bad practices regarding the safe use of electronic devices. Awareness campaigns to encourage good practices and enable the safe use of computers and other digital devices are strongly recommended.
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spelling pubmed-102495152023-06-09 Computer Vision Syndrome Among Medical Students at the University of Khartoum, Sudan: Prevalence and Associated Factors Gadain Hassan, Hassan A Cureus Ophthalmology Background and aims Regular continuous uninterrupted use of electronic devices, such as smartphones, tablets, and computers, can result in a spectrum of vision-related symptoms known as computer vision syndrome. Students today can readily access information and books on their smartphones and computers, which reduces their reliance on printed texts. Numerous muscle-related and ocular complaints could arise from this. The primary objective of this study was to estimate the prevalence of computer vision syndrome symptoms among medical students at the University of Khartoum and to identify its contributing factors. The secondary objective was to evaluate practices and knowledge related to computer vision syndrome prevention. Methods This study is a facility-based cross-sectional observation aimed at describing medical students' characteristics at the University of Khartoum. The sampling strategy employed was stratified random sampling, and a structured online questionnaire was used to collect the data. A total of 149 students completed the self-administered questionnaire. The questionnaire included questions on sociodemographic data, validated symptoms of computer vision syndrome, and factors associated with the syndrome's development. Data were analyzed using SPSS Statistics (Armonk, NY: IBM Corp.), simple descriptive statistics were calculated, and odds ratios and Pearson’s chi-square test were employed to examine and quantify the association between variables. Results Of the 149 participants, 58.4% were female, while males made up 41.6% of the study sample. The prevalence of computer vision syndrome has been found to be 94%, and 72.4% of the students reported experiencing at least three symptoms of computer vision syndrome. Neck and shoulder pain was the most commonly reported symptom (78.5%), followed by headache (70.5%), while the least reported symptom was eye redness (36.2%). The majority of students (81.2%) used electronic devices for five or more hours a day, and the most common posture while using electronic devices was lying down, as reported by 54.4% of the students. A total of 68% of the medical students in this study reported keeping a distance that was shorter than the suggested 40 centimeters from the screen, and only 18.1% were aware of the 20-20-20 rule (every 20 minutes look at an object 20 feet away for 20 seconds). The seating position has been found to be significantly associated with the number of symptoms experienced (p=0.012); sitting with a bent back was 4.6 times more likely to cause more than three symptoms when compared to sitting upright with a straight back (OR=4.643; 95% CI: 1.63-13.21; p=0.004). Conclusion There was a very high prevalence of computer vision syndrome among medical students at the University of Khartoum. Most students had poor awareness and bad practices regarding the safe use of electronic devices. Awareness campaigns to encourage good practices and enable the safe use of computers and other digital devices are strongly recommended. Cureus 2023-05-09 /pmc/articles/PMC10249515/ /pubmed/37303411 http://dx.doi.org/10.7759/cureus.38762 Text en Copyright © 2023, Gadain Hassan et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Ophthalmology
Gadain Hassan, Hassan A
Computer Vision Syndrome Among Medical Students at the University of Khartoum, Sudan: Prevalence and Associated Factors
title Computer Vision Syndrome Among Medical Students at the University of Khartoum, Sudan: Prevalence and Associated Factors
title_full Computer Vision Syndrome Among Medical Students at the University of Khartoum, Sudan: Prevalence and Associated Factors
title_fullStr Computer Vision Syndrome Among Medical Students at the University of Khartoum, Sudan: Prevalence and Associated Factors
title_full_unstemmed Computer Vision Syndrome Among Medical Students at the University of Khartoum, Sudan: Prevalence and Associated Factors
title_short Computer Vision Syndrome Among Medical Students at the University of Khartoum, Sudan: Prevalence and Associated Factors
title_sort computer vision syndrome among medical students at the university of khartoum, sudan: prevalence and associated factors
topic Ophthalmology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10249515/
https://www.ncbi.nlm.nih.gov/pubmed/37303411
http://dx.doi.org/10.7759/cureus.38762
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