Síndrome visual informático en escolares peruanos durante la pandemia COVID-19
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Vive Rev. Salud
Abstract
El SVI como problema de salud, también puede tener un impacto económico significativo y sus consecuencias perjudiciales pueden continuar incluso cuando la pandemia haya terminado. Objetivo. Determinar la prevalencia y causas relacionadas del síndrome visual informático (SVI) entre los estudiantes de 12 a 17 años, durante la COVID-19. Materiales y Métodos. Se realizó una investigación de tipo transversal, observacional, analítica y cuantitativa, la población estuvo constituida por 345 estudiantes de educación secundaria, se aplicó una encuesta a través de GoogleForms usando como instrumento, el cuestionario de Computer Vision Sympton Scale (CVSS17). Resultados. Se evidenció que los participantes padecen del síndrome visual informático (SVI) entre un nivel leve a muy severo (67%), la mayoría de los participantes presentan mayor uso de dispositivos digitales por día de 4-6 horas. Sintomatología de fotofobia a pantalla 73,3%, dolor de ojos 69,9% y ardor de ojos 66,4%. No evidencia enfermedades visuales 77.7%; algunos casos eventuales de miopía, astigmatismo, hipermetropía y anisometropía, por lo cual, se concluye que los participantes padecen del síndrome visual informático entre un nivel leve a muy severo (67%). Conclusiones. Se sugiere solicitar un diagnóstico completo que permita tener una información real del daño ocasionado por el SVI.
As a health problem, SVI can also have a significant economic impact and its detrimental consequences may continue even when the pandemic is over. Objective. To determine the prevalence and related causes of computer vision syndrome (CVI) among students aged 12 to 17 years during COVID-19. Materials and Methods. A cross-sectional, observational, analytical and quantitative research was conducted, the population consisted of 345 high school students, a survey was applied through GoogleForms using as instrument, the Computer Vision Sympton Scale (CVSS17) questionnaire. Results. It was evidenced that the participants suffer from computer vision syndrome (CVSS) between a mild to very severe level (67%), most of the participants present greater use of digital devices per day of 4-6 hours. Symptomatology of photophobia to screen 73.3%, eye pain 69.9% and burning eyes 66.4%. No evidence of visual diseases 77.7%; some eventual cases of myopia, astigmatism, hyperopia and anisometropia, therefore, it is concluded that participants suffer from computer visual syndrome between a mild to very severe level (67%). Conclusions. It is suggested to request a complete diagnosis that allows us to have real information about the damage caused by CVI.
As a health problem, SVI can also have a significant economic impact and its detrimental consequences may continue even when the pandemic is over. Objective. To determine the prevalence and related causes of computer vision syndrome (CVI) among students aged 12 to 17 years during COVID-19. Materials and Methods. A cross-sectional, observational, analytical and quantitative research was conducted, the population consisted of 345 high school students, a survey was applied through GoogleForms using as instrument, the Computer Vision Sympton Scale (CVSS17) questionnaire. Results. It was evidenced that the participants suffer from computer vision syndrome (CVSS) between a mild to very severe level (67%), most of the participants present greater use of digital devices per day of 4-6 hours. Symptomatology of photophobia to screen 73.3%, eye pain 69.9% and burning eyes 66.4%. No evidence of visual diseases 77.7%; some eventual cases of myopia, astigmatism, hyperopia and anisometropia, therefore, it is concluded that participants suffer from computer visual syndrome between a mild to very severe level (67%). Conclusions. It is suggested to request a complete diagnosis that allows us to have real information about the damage caused by CVI.
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Vol. 6, No. 17