Caracterización de los síntomas derivados del uso de pantallas por dispositivos electrónicos en una población universitaria

  1. Pablo Arlanzón Lope 1
  2. Laura Valencia Nieto 1
  3. Cristina Arroyo del Arroyo 1
  4. Alberto López de la Rosa 1
  5. María Jesús González García 1
  1. 1 Instituto Universitario de Oftalmobiología Aplicada (IOBA)
Journal:
Ciencia y Tecnología para la Salud Visual y Ocular

ISSN: 1692-8415,  2389-8801

Year of publication: 2020

Volume: 18

Issue: 2

Type: Article

DOI: 10.19052/SV.VOL18.ISS2.7 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

More publications in: Ciencia y Tecnología para la Salud Visual y Ocular

Abstract

The growing use of electronic devices has caused the emergence of a set of symptoms related to the vision and is known as Computer Visual Syndrome (CVS). Being a recent problem, the factors are still unknown. Therefore, this study aims to characterize the CVS in a risk population: the college students. A survey was designed to assess the demographic, visual and electronic-device use factors —together with the questionnaire Computer Vision Symptom Scale 17— to be answered by the community of the Universidad de Valladolid. Out of 2227 survey respondents, 80% are symptomatic, with higher frequency among women (69.05% of the total symptomatic subjects, as compared to 47.25% of asymptomatic subjects, p = 0.016), users of eyeglasses (70.77% of symptomatic as compared to 60.1% of asymptomatic, p < 0.001) or contact lenses (30.60% of symptomatic as compared to 21.3% of the asymptomatic, p = 0.005) and people with blurred vision and vision correction with eyeglasses or contact lenses (19.33% of symptomatic as compared to 6.03% of asymptomatic, p <0.001). regarding the use of electronic devices, a higher prevalence was found in the people using them for more hours (7.68 hours/day the symptomatic, as compared to 6.85 hours/days the asymptomatic, p < 00001) as well as in the people with higher continued working times without a break (2.31 hours the symptomatic as compared to 2.07 hours the asymptomatic, p = 0.003). It is concluded that CVS is a multi-factor condition affecting a high percentage of the college population. In addition, a reduction in the time of using electronic devices would help to improve the CVS symptoms as well as some breaks that imply a different activity.

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