Impacts of the use of screen on the eye health of university students in Brasília-DF

Main Article Content

Beatriz Moraes Gonçalves
Danielle Braz Amarilio da Cunha
João de Sousa Barbosa Pinheiro

Abstract

Objective: The study evaluated the prevalence of clinical manifestations of CVS and the factors associated with this condition in university students. Methods: An epidemiological, quantitative and retrospective analysis of 3 online forms was carried out. In total, 158 questionnaires were answered, but only 85 were selected. To carry out the statistical analysis, the response variables were entered into the ®Microsoft Excel software and the R statistical software, in which the proportion test and the chi-square test were performed to compare the frequency of responses. A significance level of 0.05 and a confidence level of 95% were considered. Results: It was evident that the most prevalent symptom of CVS in this study was headache and/or shoulder pain. This finding, when associated with sex, showed that female sex had a strong relationship with the worsening of symptoms, but the main reason for this finding is not known. Furthermore, it was noticed that the type of lighting interferes with the appearance of SVC, being more pronounced in a well-lit environment. Conclusion: SVC can negatively impact the quality of life of students and even increase the development of eye diseases.

Article Details

How to Cite
GonçalvesB. M., CunhaD. B. A. da, & PinheiroJ. de S. B. (2024). Impacts of the use of screen on the eye health of university students in Brasília-DF. Revista Eletrônica Acervo Médico, 24, e16654. https://doi.org/10.25248/reamed.e16654.2024
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Artigos Originais

References

1. ABUALLUT I, et al. Prevalence of asthenopia and its relationship with electronic screen usage during the covid-19 pandemic in jazan, saudi arabia: a cross-sectional study. Clinical Ophthalmology, 2022; 3165-3174.

2. ABUDAWOOD GA, et al. Computer vision syndrome among undergraduate medical students in King Abdulaziz University, Jeddah, Saudi Arabia. Journal of Ophthalmology, 2020; 1-7.

3. AL TAWIL L, et al. Prevalence of self-reported computer vision syndrome symptoms and its associated factors among university students. European journal of ophthalmology, 2020; 30(1): 189-195.

4. ALDARRAB A, et al. Magnitude and determinants of computer vision syndrome among college students at a Saudi university. Middle East African Journal of Ophthalmology, 2021; 28(4): 252.

5. ARAUJO IIO, et al. Síndrome da visão do computador: fatores de risco associados e intervenções ergonômicas efetivas para sua manutenção. Revista Eletrônica Acervo Científico, 2021; 37: 8778.

6. BOADI-KUSI SB, et al. Association between poor ergophthalmologic practices and computer vision syndrome among university administrative staff in Ghana. Journal of environmental and public health, 2020.

7. COLLEGE OF OPTOMETRISTS IN VISION DEVELOPMENT. Quality of Life Survey. Disponível em: https ://www.covd.org/page/QOLSurvey. Acesso em: 2 de maio de 2022.

8. COMPUTER VISION SYNDROME. American Optometric Association. Disponível em: https ://www.aoa.org/healthy-eyes/eye-and-vision-conditions/computer-vision-syndrome?sso=y . Acesso em: 30 de abril de 2022.

9. CORONEL-OCAMPOS J, et al. Computer visual syndrome in medical students from a private university in Paraguay: a survey study. Frontiers in public health, 2022; 10: 935405.

10. DU T, et al. Relationship between using tables, chairs, and computers and improper postures when doing VDT work in work from home. Industrial health, 2022; 60(4): 307-318.

11. HASHEMI H, et al. High prevalence of asthenopia among a population of university students. Journal of Ophthalmic & Vision Research, 2019; 14(4): 474: 2019.

12. MATHÔT S. Pupillometry: Psychology, Physiology, and Function. Journal of Cognition, 2018; 1: 16.

13. MYLONA I, et al. Spotlight on Digital Eye Strain. Clinical Optometry, 2023; 29-36.

14. PAVEL IA, et al. Computer Vision Syndrome: An Ophthalmic Pathology of the Modern Era. Medicina, 2023; 59: 412.

15. SAWAYA RIT, et al. Asthenopia among university students: the eye of the digital generation. Journal of Family Medicine and Primary Care, 2020; 9(8): 3921.

16. SHANTAKUMARI N, et al. Computer use and vision. Related problems among university students in Ajman, United Arab Emirate. Annals of medical and health sciences research, 2014; 4(2): 258-263.

17. VALE JP. Revisão integrativa da literatura sobre causa e prevenção da síndrome visual do computador. Universidade Estadual da Paraíba, 2019.

18. WANG L, et al. Computer vision syndrome during SARS-CoV-2 outbreak in university students: a comparison between online courses and classroom lectures. Frontiers in public health, 2021; 9: 696036.