Prevalence of computer vision syndrome in Peruvian university students during the COVID-19 health emergency
Keywords:
Computer vision syndrome; COVID-19, university students; virtual education.Abstract
Introduction: In recent years, the use of computers, laptops, tablets and smartphones has experienced a constant increase, and even more so, the health emergency caused by COVID-19 has caused a significant increase in the amount of connection time to said devices. because the teaching modality changed from face-to-face to virtual.
Objective: To determine the prevalence and sociodemographic variables associated with computer visual syndrome (VIS) in Peruvian university students during the COVID-19 health emergency.
Materials and methods: The research had a quantitative approach; the design was non-experimental and the transectional descriptive type. The sample was made up of 215 students from the professional career of Education to whom the Computer Syndrome Questionnaire (SVI-Q) was applied, an instrument with acceptable levels of reliability and validity. Subsequently, the responses were systematized and analyzed using the SPSS® software.
Results: It was determined that there is a high prevalence of SVI and that some sociodemographic variables such as gender, age group, time of exposure to digital devices, as well as having a pre-existing eye disease were significantly associated with said prevalence (p<0.05).
Conclusions: It is necessary to promote the application of preventive strategies, such as the 20-20-20 rule, and to improve ergonomic conditions, such as the use of adequate seats, anti-glare screens and brightness adjustment to reduce the prevalence. and symptoms associated with IVS.
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References
Estrada, E. Emotional exhaustion in Peruvian university students during the COVID-19 pandemic. Revista Tempos e Espaços em Educação. 2021. 14(33):e16542. https://doi.org/10.20952/revtee.v14i33.16542
Buitrago, F., Ciurana, R., Fernández, M. & Tizón, J. Pandemia de la COVID-19 y salud mental: reflexiones iniciales desde la atención primaria de salud española. Atención Primaria. 2021. 53(1):89-101. https://doi.org/10.1016/j.aprim.2020.06.006
Estrada, E. & Mamani, M. Competencia digital y variables sociodemográficas en docentes peruanos de educación básica regular. Revista San Gregorio. 2021. 1(45):1-16. http://dx.doi.org/10.36097/rsan.v0i45.1502
Mejía, C., Rodríguez, J., Charri, J., Liendo, D., Morocho, N., Benites, C., Avalos, M., Medina, D., Carranza, R. & Mamani, O. Repercusión académica de la COVID-19 en universitarios peruanos. Revista Cubana de Investigaciones Biomédicas. 2021. 40(1):e814. http://www.revibiomedica.sld.cu/index.php/ibi/article/view/814
Wang, L., Wei, X. & Deng, Y. Computer vision syndrome during SARS-CoV-2 outbreak in university students: A comparison between online courses and classroom lectures. Frontiers in Public Health. 2021. 9:696036. https://doi.org/10.3389/fpubh.2021.696036
Fernández, D., Soriano, A., Galvez, T., Agui, N., Soriano, D. & Benites, V. Síndrome visual informático en estudiantes universitarios de posgrado de una universidad privada de Lima, Perú. Archivos de la Sociedad Española de Oftalmología. 2021. 96(10):515-520. https://doi.org/10.1016/j.oftal.2020.12.003
Artime, E., Sánchez, F., Suárez, A., Iglesias, F. & Segui, M. Prediction of computer vision syndrome in health personnel by means of genetic algorithms and binary regression trees. Sensors. 2019. 19(12):2800. https://doi.org/10.3390/s19122800
Altalhi, A., Khayyat, W., Khojah, O., Alsalmi, M. & Almarzouki, H. Computer vision syndrome among Health Sciences students in Saudi Arabia: Prevalence and risk factors. Cureus. 2020. 12(2):e7060. https://doi.org/10.7759/cureus.7060
Zenbaba, D., Sahiledengle, B., Bonsa, M., Tekalegn, Y., Azanaw, J. & Kumar, V. Prevalence of computer vision syndrome and associated factors among Instructors in Ethiopian Universities: A web-based cross-sectional study. The Scientific World Journal. 2021. 2021:3384332. https://doi.org/10.1155/2021/3384332
Abudawood, G., Ashi, H. & Almarzouki, N. Computer vision syndrome among undergraduate medical students in King Abdulaziz University, Jeddah, Saudi Arabia. Journal of Ophthalmology. 2020. 2020:2789376. https://doi.org/10.1155/2020/2789376
Alhasan, A. & Aalam, W. Magnitude and determinants of computer vision syndrome among Radiologists in Saudi Arabia: A national survey. Academic Radiology. 2021. S1076-6332(21):00496-7. https://doi.org/10.1016/j.acra.2021.10.023
Lemma, M., Beyene, K. & Tiruneh, M. Computer vision syndrome and associated factors among secretaries working in Ministry offices in Addis Ababa, Ethiopia. Clinical optometry. 2020. 12:213-222. https://doi.org/10.2147/OPTO.S284934
Al Tawil, L., Aldokhayel, S., Zeitouni, L., Qadoumi, T., Hussein, S. & Ahamed, S. Prevalence of self-reported computer vision syndrome symptoms and its associated factors among university students. European Journal of Ophthalmology. 2018. 30(1):189-195. https://doi.org/10.1177/1120672118815110
Dessie, A., Adane, F., Nega, A., Wami, S. D. & Chercos, D. Computer vision syndrome and associated factors among computer users in Debre Tabor Town, Northwest Ethiopia. Journal of Environmental and Public Health. 2018. 2018:4107590. https://doi.org/10.1155/2018/4107590
Gammoh Y. Digital eye strain and its risk factors among a university student population in Jordan: A cross-sectional study. Cureus. 2021. 13(2):e13575. https://doi.org/10.7759/cureus.13575
Mersha, G., Hussen, M., Belete, G., Tegene, M. Knowledge about computer vision syndrome among bank workers in Gondar City, Northwest Ethiopia, Occupational Therapy International. 2020. 2020: 2561703. https://doi.org/10.1155/2020/2561703
Huyhua, S., Meléndez, J., Odar, C., Ruiz, D. & Tejada, S. Síndrome visual informático y estrés académico en estudiantes de enfermería durante el confinamiento por la COVID-19. Revista de la Universidad del Zulia. 2021. 12(35):572-583. https://doi.org/10.46925//rdluz.35.33
Sánchez, H., Reyes, C. & Mejía, K. Manual de términos en investigación científica, tecnológica y humanística. Lima: Universidad Ricardo Palma; 2018.
Hernández, R. & Mendoza, C. Metodología de la investigación: las rutas cuantitativa, cualitativa y mixta. México: McGraw-Hill; 2018.
Seguí, M., Cabrero, J., Crespo, A., Verdú, J. & Ronda, E. A reliable and valid questionnaire was developed to measure computer vision syndrome at the workplace. Journal of clinical epidemiology. 2015. 68(6):662-673. https://doi.org/10.1016/j.jclinepi.2015.01.015
Molina, M. Validación de los analizadores visuales y determinación del síndrome visual informático en trabajadores de la función pública valenciana. Universidad de Alicante; 2017. http://hdl.handle.net/10045/83007
Turkistani, A., Al-Romaih, A., Alrayes, M., Al Ojan, A. & Al-Issawi, W. Computer vision syndrome among Saudi population: An evaluation of prevalence and risk factors. Journal of Family Medicine and Primary Care. 2021. 10(6):2313-2318. https://doi.org/10.4103/jfmpc.jfmpc_2466_20
Sheppard, A. & Wolffsohn, J. Digital eye strain: prevalence, measurement and amelioration. BMJ open ophthalmology. 2018. 3(1):e000146. https://doi.org/10.1136/bmjophth-2018-000146
Poudel, S. & Khanal, S. Magnitude and determinants of computer vision syndrome (CVS) among it workers in Kathmandu, Nepal. Nepalese Journal of Ophthalmology. 2020. 12(24): 245-251. https://doi.org/10.3126/nepjoph.v12i2.29387
Logaraj, M., Madhupriya, V. & Hegde, S. Computer vision syndrome and associated factors among medical and engineering students in Chennai. Annals of Medical and Health Sciences Research. 2014. 4(2):179-185. https://doi.org/10.4103/2141-9248.129028
Ranasinghe, P., Wathurapatha, W., Perera, Y., Lamabadusuriya, D., Kulatunga, S., Jayawardana, N. & Katulanda, P. Computer vision syndrome among computer office workers in a developing country: an evaluation of prevalence and risk factors. BMC Research Notes. 2016. 9:150. https://doi.org/10.1186/s13104-016-1962-1
Shantakumari, N., Eldeeb, R., Sreedharan, J. & Gopal, K. Computer use and vision-related problems among university students in ajman, United Arab Emirate. Annals of Medical and Health Sciences Research. 2014. 4(2):258-263. https://doi.org/10.4103/2141-9248.129058
Derbew, H., Nega, A., Tefera, W., Zafu, T., Tsehaye, K., Haile, K. & Temesgen, B. Assessment of computer vision syndrome and personal risk factors among employees of Commercial Bank of Ethiopia in Addis Ababa, Ethiopia. Journal of Environmental and Public Health. 2021. 2021:6636907. https://doi.org/10.1155/2021/6636907
Cantó, N., Sánchez, M., Ivorra, B. & Seguí, M. Computer vision syndrome prevalence according to individual and video display terminal exposure characteristics in Spanish university students. International Journal of Clinical Practice. 2020. 75(3):e13681. https://doi.org/10.1111/ijcp.13681
Al Rashidi, S. & Alhumaidan, H. Computer vision syndrome prevalence, knowledge and associated factors among Saudi Arabia University Students: Is it a serious problem? International Journal of Health Sciences. 2017. 11(5):17-19. https://www.ncbi.nlm.nih.gov/labs/pmc/articles/PMC5669505/
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