The Challenge of Teaching in the Digital Era: Computer Visual Syndrome in Basic Education Teachers
Keywords:vision disorders, computer visual syndrome, teachers, basic education, visual health
Objective: At present, technology has become an indispensable tool in the educational field, especially for basic education teachers who face a growing digitalization of the educational environment. However, this change towards digital is not exempt from consequences, and one of the emerging challenges is computer visual syndrome, which can affect its quality of life. Therefore, the objective of this research was to evaluate the presence of computer visual syndrome in teachers of four Peruvian educational institutions of basic education.
Method: The research approach was quantitative; the design was non-experimental and the type was a cross-sectional descriptive. The sample was made up of 161 teachers who were given the Computer Visual Syndrome Questionnaire (CVS-Q), an instrument with adequate levels of reliability and validity.
Results: The results indicate that the level of computer visual syndrome of 47.8% of teachers was mild, 32.9% was moderate and 19.3% were severe. Similarly, it was found that the symptoms suffered by teachers were most frequently itching, burning or sensation of burning of the eyes, dry eye, feeling of having a foreign body in the eye and heaviness in the eyelids. On the other hand, it was found that visual computer syndrome was significantly associated with the daily digital device usage time, to have pre-existing eye diseases and the implementation of preventive strategies.
Conclusions: In the present research, it was concluded that the predominant level of computer vision syndrome in teachers was low. Therefore, the implementation of awareness programs and the application of ergonomic measures to improve the visual health of teachers are suggested.
Abudawood, G., Ashi, H., & Almarzouki, N. (2020). Computer vision syndrome among undergraduate medical students in King Abdulaziz University, Jeddah, Saudi Arabia. Journal of Ophthalmology, 2020, 2789376. https://doi.org/10.1155/2020/2789376
Alhasan, A. S., & Aalam, W. A. (2021). Magnitude and determinants of computer vision syndrome among Radiologists in Saudi Arabia: A national survey. Academic Radiology, S1076-6332(21), 00496-7. https://doi.org/10.1016/j.acra.2021.10.023
Altalhi, A., Khayyat, W., Khojah, O., Alsalmi, M., & Almarzouki, H. (2020). Computer vision syndrome among Health Sciences students in Saudi Arabia: Prevalence and risk factors. Cureus, 12(2), e7060. https://doi.org/10.7759/cureus.7060
Das, A., Shah, S., Adhikari, T., Paudel, B., Sah, S., Das, R., Shah, C., & Adhikari, P. (2022). Computer vision syndrome, musculoskeletal, and stress-related problems among visual display terminal users in Nepal. PloS One, 17(7), e0268356. https://doi.org/10.1371/journal.pone.0268356
Dessie, A., Adane, F., Nega, A., Wami, S., & Chercos, D. (2018). Computer vision syndrome and associated factors among computer users in Debre Tabor Town, Northwest Ethiopia. Journal of Environmental and Public Health, 2018, 4107590. https://doi.org/10.1155/2018/4107590
Estrada, E., Paricahua, J., Gallegos, N., & Velasquez, L. (2023). Síndrome visual informático en docentes peruanos de educación básica durante la pandemia por COVID-19. Universidad y Sociedad, 15(1), 93-100. https://rus.ucf.edu.cu/index.php/rus/article/view/3520
Gammoh Y. (2021). Digital eye strain and its risk factors among a university student population in Jordan: A cross-sectional study. Cureus, 13(2), e13575. https://doi.org/10.7759/cureus.13575
Hernández, R., & Mendoza, C. (2018). Metodología de la investigación: las rutas cuantitativa, cualitativa y mixta. McGraw-Hill.
Huyhua, S., Zeladita, J., Díaz, R., Dominguez, A., Zegarra, R., Rivas, M., & Tejada, S. (2023). Digital Eye Strain among Peruvian Nursing Students: Prevalence and Associated Factors. International Journal of Environmental Research and Public Health, 20(6), 5067. https://doi.org/10.3390/ijerph20065067
Iqbal, M., Said, O., Ibrahim, O., & Soliman, A. (2021). Visual sequelae of computer vision syndrome: a cross-sectional case-control study. Journal of Ophthalmology, 2021, 6630286. https://doi.org/10.1155/2021/6630286
Lemma, M. G., Beyene, K. G., & Tiruneh, M. A. (2020). Computer vision syndrome and associated factors among secretaries working in Ministry offices in Addis Ababa, Ethiopia. Clinical Optometry, 12, 213-222. https://doi.org/10.2147/OPTO.S284934
Molina, M. (2017). Validación de los analizadores visuales y determinación del síndrome visual informático en trabajadores de la función pública valenciana. (Doctoral thesis). Universidad de Alicante. http://hdl.handle.net/10045/83007
Ranasinghe, P., Wathurapatha, W., Perera, Y., Lamabadusuriya, D., Kulatunga, S., Jayawardana, N., & Katulanda, P. (2016). Computer vision syndrome among computer office workers in a developing country: an evaluation of prevalence and risk factors. BMC Research Notes, 9, 150. https://doi.org/10.1186/s13104-016-1962-1
Roy, S., Sharif, A., Chowdhury, S., & Iktidar, M. (2022). Unavoidable online education due to COVID-19 and its association to computer vision syndrome: a cross-sectional survey. BMJ Open Ophthalmology, 7(1), e001118. https://doi.org/10.1136/bmjophth-2022-001118
Seguí, M., Cabrero, J., Crespo, A., Verdú, J., & Ronda, E. (2015). A reliable and valid questionnaire was developed to measure computer vision syndrome at the workplace. Journal of Clinical Epidemiology, 68(6), 662-673. https://doi.org/10.1016/j. jclinepi.2015.01.015
Turkistani, A., Al-Romaih, A., Alrayes, M., Al Ojan, A., & Al-Issawi, W. (2021). Computer vision syndrome among Saudi population: An evaluation of prevalence and risk factors. Journal of Family Medicine and Primary Care, 10(6), 2313-2318. https://doi.org/10.4103/jfmpc.jfmpc_2466_20
Uribe, Y., Ochoa, F., Moran, H., & Pacheco, A. (2023). Vision syndrome due to the use of computers and psychological impact on teachers at a university in the province of Cañete. International Journal of Advanced and Applied Sciences, 10(3), 60-65. https://doi.org/10.21833/ijaas.2023.03.008
Uribe-Hernández, Y., Ochoa-Paredes, F., Meneses-Claudio, B., Tello-Aguilar, C., Buendía-Aparcana, R., & Pacheco, A. (2023). Computer-related ophthalmic syndrome in teachers of a university of the province of Cañete. Annals of Medicine and Surgery, 85(2), 261-265. https://doi.org/10.1097/MS9.0000000000000177
Yoshimura, K., Morita, Y., Konomi, K., Ishida, S., Fujiwara, D., Kobayashi, K., & Tanaka, M. (2021). A web-based survey on various symptoms of computer vision syndrome and the genetic understanding based on a multi-trait genome-wide association study. Scientific Reports, 11(1), 9446. https://doi.org/10.1038/s41598-021-88827-y
Zenbaba, D., Sahiledengle, B., Bonsa, M., Tekalegn, Y., Azanaw, J., & Kumar, V. (2021). Prevalence of computer vision syndrome and associated factors among Instructors in Ethiopian Universities: A web-based cross-sectional study. The Scientific World Journal, 2021, 3384332. https://doi.org/10.1155/2021/3384332
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Copyright (c) 2023 Edwin Gustavo Estrada-Araoz, Yony Abelardo Quispe-Mamani, Duverly Joao Incacutipa-Limachi, Javier Santos Puma-Llanqui, Jhemy Quispe-Aquise, Franklin Jara-Rodríguez, Cesar Elias Roque-Guizada, Marilú Farfán-Latorre, Willian Gerardo Lavilla-Condori, Wilian Quispe Layme
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