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Computer vision syndrome: Symptoms, risk factors, and practices
BACKGROUND: According to computer vision syndrome (CVS). Due to constant use of computers by the students, it has become one of the growing health risks associated with technology (cell phones and tablets). CVS is a combination of eye and vision disorders associated with activities that affect near...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9730965/ https://www.ncbi.nlm.nih.gov/pubmed/36505560 http://dx.doi.org/10.4103/jfmpc.jfmpc_1627_21 |
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author | Alamri, Abdulrahman Amer, Khaled A. Aldosari, Abdulrahman A. Althubait, Basel M. S. Alqahtani, Mushary S. AL Mudawi, Abdulrahman A. M. AL Mudawi, Bandar A. M. Alqahtani, Faisal A. M. Alhamoud, Nawaf S. Y. |
author_facet | Alamri, Abdulrahman Amer, Khaled A. Aldosari, Abdulrahman A. Althubait, Basel M. S. Alqahtani, Mushary S. AL Mudawi, Abdulrahman A. M. AL Mudawi, Bandar A. M. Alqahtani, Faisal A. M. Alhamoud, Nawaf S. Y. |
author_sort | Alamri, Abdulrahman |
collection | PubMed |
description | BACKGROUND: According to computer vision syndrome (CVS). Due to constant use of computers by the students, it has become one of the growing health risks associated with technology (cell phones and tablets). CVS is a combination of eye and vision disorders associated with activities that affect near vision and is experienced in relation to or during the use of computers. The main aim of the study was to find the risk factors of CVS, its symptoms, and other factors associated with CVS. MATERIALS AND METHODS: In this cross-sectional study, data was collected using a purposely constructed E-questionnaire. The questionnaire consisted of demographic items and items related to the usage of E-devices and the symptoms of eye problems. After data collection, data was coded and entered in the Statistical Package for the Social Sciences (SPSS) ver. 20 software for analyses. Descriptive statistics (mean and standard deviation, frequencies and percentages) were computed. To measure the significant differences, Chi-square test was used at 5% level of significance. RESULTS: The mean (SD) age of 400 respondents was 22.5 (11.5) years. We computed the internal consistency, and the overall Cronbach alpha was 0.81. Also, 40% of the respondents were females, while 60% were males. Results showed that 20% of the respondents had multiple symptoms of eye problems, while 9% had no symptoms, 9% had eye pain, 8% had dryness of eye, and 6% had watering of eyes and redness of eye symptoms. The rest of the symptoms was found in less than 5% of the respondents. CONCLUSION: This worldwide issue requires immediate attention. Long-term computer use has been linked to significant visual impairments, particularly in people who use computers and similar gadgets for extended periods of time. |
format | Online Article Text |
id | pubmed-9730965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-97309652022-12-09 Computer vision syndrome: Symptoms, risk factors, and practices Alamri, Abdulrahman Amer, Khaled A. Aldosari, Abdulrahman A. Althubait, Basel M. S. Alqahtani, Mushary S. AL Mudawi, Abdulrahman A. M. AL Mudawi, Bandar A. M. Alqahtani, Faisal A. M. Alhamoud, Nawaf S. Y. J Family Med Prim Care Original Article BACKGROUND: According to computer vision syndrome (CVS). Due to constant use of computers by the students, it has become one of the growing health risks associated with technology (cell phones and tablets). CVS is a combination of eye and vision disorders associated with activities that affect near vision and is experienced in relation to or during the use of computers. The main aim of the study was to find the risk factors of CVS, its symptoms, and other factors associated with CVS. MATERIALS AND METHODS: In this cross-sectional study, data was collected using a purposely constructed E-questionnaire. The questionnaire consisted of demographic items and items related to the usage of E-devices and the symptoms of eye problems. After data collection, data was coded and entered in the Statistical Package for the Social Sciences (SPSS) ver. 20 software for analyses. Descriptive statistics (mean and standard deviation, frequencies and percentages) were computed. To measure the significant differences, Chi-square test was used at 5% level of significance. RESULTS: The mean (SD) age of 400 respondents was 22.5 (11.5) years. We computed the internal consistency, and the overall Cronbach alpha was 0.81. Also, 40% of the respondents were females, while 60% were males. Results showed that 20% of the respondents had multiple symptoms of eye problems, while 9% had no symptoms, 9% had eye pain, 8% had dryness of eye, and 6% had watering of eyes and redness of eye symptoms. The rest of the symptoms was found in less than 5% of the respondents. CONCLUSION: This worldwide issue requires immediate attention. Long-term computer use has been linked to significant visual impairments, particularly in people who use computers and similar gadgets for extended periods of time. Wolters Kluwer - Medknow 2022-09 2022-10-14 /pmc/articles/PMC9730965/ /pubmed/36505560 http://dx.doi.org/10.4103/jfmpc.jfmpc_1627_21 Text en Copyright: © 2022 Journal of Family Medicine and Primary Care https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Alamri, Abdulrahman Amer, Khaled A. Aldosari, Abdulrahman A. Althubait, Basel M. S. Alqahtani, Mushary S. AL Mudawi, Abdulrahman A. M. AL Mudawi, Bandar A. M. Alqahtani, Faisal A. M. Alhamoud, Nawaf S. Y. Computer vision syndrome: Symptoms, risk factors, and practices |
title | Computer vision syndrome: Symptoms, risk factors, and practices |
title_full | Computer vision syndrome: Symptoms, risk factors, and practices |
title_fullStr | Computer vision syndrome: Symptoms, risk factors, and practices |
title_full_unstemmed | Computer vision syndrome: Symptoms, risk factors, and practices |
title_short | Computer vision syndrome: Symptoms, risk factors, and practices |
title_sort | computer vision syndrome: symptoms, risk factors, and practices |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9730965/ https://www.ncbi.nlm.nih.gov/pubmed/36505560 http://dx.doi.org/10.4103/jfmpc.jfmpc_1627_21 |
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