Síndrome visual informático en estudiantes de medicina en educación virtual de una universidad peruana durante el 2021: Computer visual syndrome in medical students in virtual education of a Peruvian university during 2021

Rosario Mercedes  Meneses Castañeda; Sergio Luis  Ramos Rodriguez; Chiara del Carmen Molfino Jaramillo; Ely Luisa Sánchez Miraval; David Francisco Stein Montoro; Lourdes Guissel Chávez Rodríguez

doi:10.25176/RFMH.v23i1.5525

Authors

Rosario Mercedes Meneses Castañeda Facultad de Medicina Humana, Universidad Ricardo Palma. Lima, Perú https://orcid.org/0000-0001-8088-9927
Sergio Luis Ramos Rodriguez Facultad de Medicina Humana, Universidad Ricardo Palma. Lima, Perú https://orcid.org/0000-0001-6965-6540
Chiara del Carmen Molfino Jaramillo Facultad de Medicina Humana, Universidad Ricardo Palma. Lima, Perú https://orcid.org/0000-0002-2777-9005
Ely Luisa Sánchez Miraval Facultad de Medicina Humana, Universidad Ricardo Palma. Lima, Perú https://orcid.org/0000-0001-7666-4418
David Francisco Stein Montoro Facultad de Medicina Humana, Universidad Ricardo Palma. Lima, Perú https://orcid.org/0000-0002-6763-4169
Lourdes Guissel Chávez Rodríguez Facultad de Medicina Humana, Universidad Ricardo Palma. Lima, Perú https://orcid.org/0000-0002-7268-6211

DOI:

https://doi.org/10.25176/RFMH.v23i1.5525

Keywords:

Vision Disorders, Education, Distance, Students, Medical

Abstract

Introduction: During virtual classes in the context of COVID-19, students were exposed to digital screens for many hours, so they could present computer vision syndrome. Objective: To determine the frequency of computer vision syndrome in sixth-year medical students at Ricardo Palma University during virtual education due to COVID-19 in October and November 2021. Methods: Cross-sectional descriptive study in 147 sixth-year medical students who received virtual education at a Peruvian university during 2021. A non-probability sampling was used for convenience and the SVI was evaluated with the SVI-Q questionnaire, in addition characteristics were evaluated. demographics, visual preventive measures and eye diseases. The results were analyzed with SPSS v.21 for Windows. The study was approved by the Ethics Committee. Results: Most of the students were young adults (54%) and female (60%). The frequency of computer vision syndrome was 93%, it occurred in (94%) women and (90%) men. Most of the students reported having myopia (44%) and astigmatism (22%). The most common visual symptoms were tearing (7.9%), itching (7.6%) and headache (7.6%). Conclusions: A high frequency of SVI was found in medical students who took virtual classes.

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