Prevalence of computer visual syndrome in medical students from the city of Tunja during the pandemic.
DOI:
https://doi.org/10.18041/2322-634X/rcso.1.2022.7916Keywords:
Asthenopia, Computer Terminals, Occupational Exposure, Computer Visual Syndrome, virtual classes, COVID-19Abstract
Introduction: The American Optometric Association defines Computer Visual Syndrome (SVC) as the set of ocular, visual, and, musculoskeletal problems (especially of the neck and shoulder), related to close and frequent use of computers or related with these, including smart mobile devices.
Objective: To determine the prevalence of SVC in medical students in the city of Tunja during virtual classes secondary to the COVID-19 pandemic.
Methods: Descriptive observational study, where medical program students were enrolled for the second semester of 2020. A virtual survey was applied.
Results: 296 participants were included in the study, of which 197 were men. 62.5% belonged to a public university. 65% presented a problem of alteration in refraction. The prevalence of computer visual syndrome was 84.4% of the participants.
Conclusions: Computer visual syndrome is a poorly studied pathology. However, is very frequent, due to the high levels of exposure to electronic devices that we are currently facing. The present study found a high level of computer visual syndrome, which could be related to the changes due to in the way of studying and working, where technological tools became a fundamental pillar. which is important to create awareness about the proper use of them and keep in mind different prevention methods to minimize this pathology.
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References
Reddy SC, Low CK, Lim YP, Low LL, Mardina F, Nursaleha MP. Computer vision syndrome: a study of knowledge and practices in university students.Nepal J Ophthalmol. 2013; 5 (10): 161-168. doi: 10.3126/nepjoph.v5i2.8707
Seguí-Crespo MdelM, Cabrero-Garcia J, Crespo A, Verdú J, Ronda E. A reliable and Valid questionnaire was developed to measure computer vision syndrome at the workplace. J Clin Epidemiol. 2015; 68 (6):662-73. doi:10.1016/j.jclinepi.2015.01.015.
Kim DJ, Lim CY, Gu N, Park CY. Visual Fatigue Induced by Viewing a Tablet Computer with a High-resolution Display. Korean J Ophthalmol. 2017. 2017;31(5):388 doi: 10.3341/kjo.2016.0095
Hodelín HY, de los Reyes GZL, Hurtado CG, Batista SM. Riesgos sobre tiempo prolongado frente a un ordenador. Rev Inf Cient. 2016; 95(1):175-190
Bogdănici CM, Săndulache DE, Nechita CA. Eyesight Quality and Computer Vision Syndrome. Rom J Ophthalmol. 2017;61(2):112-116. doi: 10.22336/rjo.2017.21
Ranasinghe P, Wathurapatha WS, Perera YS, Lamabadusuriya DA, Kulatunga S, Jayawardana N, et al. Computer vision syndrome among computer office workers in a developing country: an evaluation of prevalence and risk factors. BMC Res Notes. 2016;9:9:150 - 157. doi: 10.1186/s13104-016-1962-1
Teo C, Giffard P, Johnston V, Treleaven J. Computer vision symptoms in people with and without neck pain. Appl Ergonomics. 2019; 80: 50–56. doi: 10.1016/j.apergo.2019.04.010
Quilumba-Gualoto K. Factores de riesgo e intervenciones ergonómicas efectivas para el manejo del síndrome de visión de computadora. EID. 2019; 1(3): 10-21.
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. doi: 10.7759/cureus.7060.
Logaraj M, Madhupriya V, Hegde S. Computer vision syndrome and associated factors among medical and engineering students in chennai. Ann Med Health Sci Res. 2014;4(2):179-85. doi: 10.4103/2141-9248.129028
Sánchez-Brau M, Domenech-Amigot B, Brocal-Fernández F, Quesada-Rico J, Seguí-Crespo MdelM. Prevalence of Computer Vision Syndrome and Its Relationship with Ergonomic and Individual Factors in Presbyopic VDT Workers Using Progressive Addition Lenses. Internat J Environm Res Public Health. 2020; 17(3): 1003. doi: 10.3390/ijerph17031003.
García-Álvarez PE, García-Lozada D. Factores asociados con el síndrome de visión por el uso de computador. Investigaciones Andinas. 2010; 12(20): 42-52.
Boadi-Kusi SB, Abu SL, Acheampong GO, Adueming PO, Abu EK. Association between Poor Ergophthalmologic Practices and Computer Vision Syndrome among University Administrative Staff in Ghana. Journal of Environmental and Public Health. 2020; (75): 7516357. doi: 10.1155/2020/7516357
Artime-Ríos EM, Sánchez-Lasheras F, Suarez-Sánchez A, Iglesias-Rodríguez FJ, Seguí-Crespo MdM. Prediction of computer vision syndrome in health personnel by means of genetic algorithms and binary regression trees. Sensors. 2019; 19(12): 2800. doi: 10.3390/s19122800
López-Camones JJ, Rojas-Meza LJ, Osada J. Frecuencia de factores ocupacionales asociados a astenopía en trabajadores usuarios de pantallas de visualización de datos de empresas del rubro construcción en Huaraz, 2019. Rev Asoc Esp Espec Med Trab. 2020; 29(2): 56-66.
Fano-Machín Y. Síndrome de visión de la computadora en trabajadores de dos bancos metropolitanos de un área de salud. Rev Cubana Oftalmol. 2016; 29(2): 219-228.
Fioravanti-Lui AA, Lui-Netto A, Fioravanti-Lui TA, Ruiz-Alvez M. Evaluation of the effects of single vision lenses with additional near-power on computer-induced asthenopia. Rev Bras Oftalmol. 2020; 79(5): 325-329. doi: 10.5935/0034-7280.20200069.
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