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Factors associated with Computer Vision Syndrome in students and teachers of a private university in Peru during the SARS-CoV-2 pandemic

By
Maria Zapana-Tito ,
Maria Zapana-Tito

Escuela Profesional de Medicina Humana, Universidad Privada San Juan Bautista, Carretera Panamericana Sur 2, Ica 11004, Perú

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Walter Gómez-Gonzales ,
Walter Gómez-Gonzales

Escuela Profesional de Medicina Humana, Universidad Privada San Juan Bautista, Carretera Panamericana Sur 2, Ica 11004, Perú

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Maria Fatima Gómez-Livias ,
Maria Fatima Gómez-Livias

Grupo de Investigación: Prevención y control de enfermedades infecciosas y no infecciosas, UPSJB. Lima, Perú

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Carlos Gamarra Bustillos ,
Carlos Gamarra Bustillos

Grupo de Investigación: Prevención y control de enfermedades infecciosas y no infecciosas, UPSJB. Lima, Perú

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Luis Chihuantito-Abal ,
Luis Chihuantito-Abal

Grupo de Investigación: Prevención y control de enfermedades infecciosas y no infecciosas, UPSJB. Lima, Perú

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Abstract

Introduction: Computer Vision Syndrome is also considered the ocular epidemic of the 21st century. It is essential to determine the number of individuals suffering from CVS and the associated factors.
Objective: To identify the factors associated with Computer Vision Syndrome in medical students and faculty at Peruvian Private University during the SARS-CoV-2 pandemic in 2021.
Methods: This was an observational, cross-sectional, retrospective, and analytical study. The participants included students and faculty members from the School of Human Medicine. The Computer Vision Syndrome Questionnaire (CVS-Q) from Google Forms was used. For bivariate analysis, the chi-squared test was used with a 95% confidence level. Frequency and proportion calculations were used for qualitative variables, and measures of central tendency and dispersion were calculated for quantitative variables.
Results: 56.0% of faculty and students suffered from computer vision syndrome (CVS). In the bivariate analysis, it was found that the use of eyeglasses (p < 0.004), a computer/cell phone screen distance of <45cm (p < 0.031), and a family history of visual diseases (p < 0.010) were associated with CVS.
Conclusions: There is a high prevalence of computer vision syndrome, with faculty members being the most affected. Factors associated with CVS were the use of eyeglasses, a computer/cell phone screen distance of <45cm, and a family history of visual diseases.

How to Cite

1.
Zapana-Tito M, Gómez-Gonzales WG, Gómez-Livias MF, Gamarra Bustillos C, Chihuantito-Abal L. Factors associated with Computer Vision Syndrome in students and teachers of a private university in Peru during the SARS-CoV-2 pandemic. Salud, Ciencia y Tecnología [Internet]. 2024 May 22 [cited 2024 Jun. 20];4:939. Available from: https://revista.saludcyt.ar/ojs/index.php/sct/article/view/939

The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.

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