Time of exposure to digital screens and its association with Computer Vision Syndrome in medical students
DOI:
https://doi.org/10.35663/amp.2024.414.3250Keywords:
Eye diseases, Students, medical, Asthenopia, Education, medical, Dry eye syndromes/etiology, Vision disorders/etiologyAbstract
Objective: To evaluate if prolonged exposure to digital screens in medicine students at a private university would increase the probability of suffering from Computer Vision Syndrome (CVS). Materials and methods: A cross-sectional study in human medicine students from Universidad CientIfica del Sur was performed, using non-probabilistic convenience sampling. The CVS was virtually assessed using the SVI-Q questionnaire, considering demographic characteristics, screen exposure, preventive measures, and ocular diseases. Results: Most students were women (64.08%), with 20-years median age. Nearly sixty percent (59.2%) used glasses (mainly with frames), 55.8% had myopia, and 48.5% had astigmatism. The analysis revealed that screen exposure for four hours or more during virtual classes was related to having CVS (p<0.001). Other related factors were the prolonged use of electronic devices and staring at distant places. Conclusions: Prolonged exposure to digital screens is related to the likelihood for developing Computer Visual Syndrome in medical students at Universidad Cientifica del Sur, particularly in women and myopic persons. Other related factors include the prolonged use of electronic devices such as laptops and staring at distant sites.
Downloads
References
1. Gadain H, Hassan HA. Computer Vision Syndrome among Medical Students at the University of Khartoum, Sudan: Prevalence and Associated Factors. Cureus. 2023;15(5):e38762. doi: 10.7759/ cureus.38762
2. Randolph SA. Computer Vision Syndrome. Workplace Health Saf. 2017;65(7):328. doi: 10.1177/2165079917712727.
3. Touma Sawaya RI, El Meski N, Saba JB, Lahoud C, Saab L, Haouili M, et al. Asthenopia Among University Students: The Eye of the Digital Generation. J Fam Med Prim Care. 2020;9(8):3921-32. doi: 10.4103/jfmpc.jfmpc_340_20.
4. Chawla A, Lim TC, Shikhare SN, Munk PL, Peh WCG. Computer Vision Syndrome: Darkness under the Shadow of Light. Can Assoc Radiol J. 2019;70(1):5-9. doi: 10.1016/j.carj.2018.10.005.
5. Estrada Araoz EG, Paricahua Peralta JN, Zuloaga Araoz MC, Gallegos Ramos NA, Valverde YP, Herrera RQ, et al. Prevalence of computer vision syndrome in Peruvian university students during the COVID-19 health emergency. Arch Venez Farmacol Ter. 2022;264- 70. doi: 10.1186/s12889-024-17636-5.
6. Sen A, Richardson S. A study of computer-related upper limb discomfort and computer vision syndrome. J Hum Ergol (Tokyo). 2007;36(2):45-50. doi:10.11183/jhe1972.36.2_45.
7. Ranasinghe P, Wathurapatha WS, Perera YS, Lamabadusuriya DA, Kulatunga S, Jayawardana N, et al. Computer vision syndrome among computer office workers in a developing country: an evaluation of prevalence and risk factors. BMC Res Notes. 2016;9:150. doi: 10.1186/s13104-016-1962.
8. Fernandez-Villacorta D, Soriano-Moreno AN, Galvez-Olortegui T, Agui-Santivañez N, Soriano-Moreno DR, Benites-Zapata VA. Computer visual syndrome in graduate students of a private university in Lima, Perú. Arch Soc Esp Oftalmol Engl Ed. 2021;96(10):515-20. doi: 10.1016/j.oftal.2020.12.003.
9. Meneses Castañeda RM, Ramos Rodríguez SL, Molfino Jaramillo C del C, Sánchez Miraval EL, Stein Montoros DF, Chávez Rodríguez LG. SVI en estudiantes de medicina en educación virtual de una universidad peruana durante el 2021. Rev Fac Med Humana. 2023;23(1):25-32. doi: 10.25176/RFMH.v23i1.5525.
10. Zalat MM, Amer SM, Wassif GA, El Tarhouny SA, Mansour TM. Computer vision syndrome, visual ergonomics and amelioration among staff members in a Saudi medical college. Int J Occup Saf Ergon. 2022;28(2):1033-1041. doi: 10.1080/10803548.2021.1877928.
11. Charpe NA, Kaushik V. Computer Vision Syndrome (CVS): Recognition and Control in Software Professionals. J Hum Ecol. 2009;28(1):67-9. doi: 10.1080/09709274.2009.11906219.
12. Lema AK, Anbesu EW. Computer vision syndrome and its determinants: A systematic review and meta-analysis. SAGE Open Med. 2022;10:20503121221142402. doi: 10.1177/20503121221142402.
13. Bentivoglio AR, Bressman SB, Cassetta E, Carretta D, Tonali P, Albanese A. Analysis of blink rate patterns in normal subjects. Mov Disord. 1997;12(6):1028-34. doi: 10.1002/mds.870120629.
14. Iqbal M, Soliman A, Ibrahim O, Gad A. Analysis of the Outcomes of the Screen-Time Reduction in Computer Vision Syndrome: A Cohort Comparative Study. Clin Ophthalmol. 2023;17:123-134. doi: 10.2147/OPTH.S399044.
15. Quant C, Altieri L, Torres J, Craft N. The Self-Perception and Usage of Medical Apps amongst Medical Students in the United States: A Cross-Sectional Survey. Int J Telemed Appl. 2016;2016:3929741. doi: 10.1155/2016/3929741.
16. Guze PA. Using Technology to Meet the Challenges of Medical Education. Trans Am Clin Climatol Assoc. 2015;126:260-270.
17. Al-Mohtaseb Z, Schachter S, Shen Lee B, Garlich J, Trattler W. The Relationship Between Dry Eye Disease and Digital Screen Use. Clin Ophthalmol Auckl NZ. 2021;15:3811-20. doi: 10.2147/OPTH. S321591.
18. Al Tawil L, Aldokhayel S, Zeitouni L, Qadoumi T, Hussein S, Ahamed SS. Prevalence of self-reported computer vision syndrome symptoms and its associated factors among university students. Eur J Ophthalmol. 2020;30(1):189-95. doi: 10.1177/1120672118815110.
19. Huapaya Caña YA. Validación del instrumento “Computer Vision Syndrome Questionnaire (CVS-Q)” en el personal administrativo en Lima 2019 [Tesis de maestría]. Lima, Perú: Universidad Peruana Cayetano Heredia; 2020.
20. Iqbal M, El-Massry A, Elagouz M, Elzembely H. Computer Vision Syndrome Survey among the Medical Students in Sohag University Hospital, Egypt. Ophthalmol Res Int J. 2018;8(1):1-8. doi: 10.9734/ OR/2018/38436.
21. Quispe-Torres DLJ. Prevalencia y factores asociados al SVI en estudiantes de Medicina Humana del Perú durante la educación virtual por la pandemia del COVID-19 [Tesis de bachiller]. Lima, Perú: Universidad Ricardo Palma; 2021.
22. Piedrahita LE, Rodríguez RG. Síndrome visual informático en pacientes con enfermedades crónicas relacionadas con el uso de Pantallas de Visualización de Datos intra y extra laboral: estudio de caso. Rev Salud Pública. 2020;24(3):50- 60. doi: 10.31052/1853.1180.v24.n3.27688.
23. Shantakumari N, Eldeeb R, Sreedharan J, Gopal K. Computer use and vision-related problems among university students in ajman, United arab emirate. Ann Med Health Sci Res. 2014;4(2):258-63. doi: 10.4103/2141-9248.129058.
24. Cruz Pallara EJ. Factores asociados al síndrome visual informático en los estudiantes de Medicina de una Universidad Nacional de Arequipa, 2022 [Tesis de bachiller]. Arequipa, Perú: Universidad Nacional San Agustín; 2022.
25. Freyle Hernández MT, Pineda Gonzalez JA, Torres Cabrera LB. Prevalencia, población y factores asociados del Síndrome Visual Informático 2010-2020: Revisión de Alcance [Tesis de bachiller]. Bogotá, Colombia: Universidad del Rosario; 2020.
Downloads
Published
Issue
Section
License
Esta obra está bajo una Licencia Creative Commons Atribución 4.0 Internacional.
Aquellos autores/as que tengan publicaciones con esta revista, aceptan los términos siguientes:
- Los autores/as conservarán sus derechos de autor y garantizarán a la revista el derecho de primera publicación de su obra, el cuál estará simultáneamente sujeto a la Licencia de reconocimiento de Creative Commons que permite a terceros compartir la obra siempre que se indique su autor y su primera publicación esta revista.
- Los autores/as podrán adoptar otros acuerdos de licencia no exclusiva de distribución de la versión de la obra publicada (p. ej.: depositarla en un archivo telemático institucional o publicarla en un volumen monográfico) siempre que se indique la publicación inicial en esta revista.
- Se permite y recomienda a los autores/as difundir su obra a través de Internet (p. ej.: en archivos telemáticos institucionales o en su página web) antes y durante el proceso de envío, lo cual puede producir intercambios interesantes y aumentar las citas de la obra publicada. (Véase El efecto del acceso abierto).
How to Cite
1.png)
.png){kind=logo}
