Prediction of computer vision syndrome by video game addiction in Chinese and Spanish students
Keywords:
computer vision syndrome, vision disorders, vision tests, eye health.Abstract
Introduction: The use of video games, due to the extent that it has reached during the COVID-19 pandemic, is a relevant study variable especially because of its interactions with aspects of mental and visual health.
Objective: to predict the occurrence of computer vision syndrome according to the level of addiction to video games in university undergraduates during a particular period of uncertainty due to health and mobility restrictions imposed by governments as a result of the COVID-19 pandemic.
Material and Methods: To accomplish this objective, an online questionnaire was administered with three validated instruments: a questionnaire to assess playing video games (CHCVI), a questionnaire to evaluate video games addiction (CERV), and a questionnaire to detect computer vision syndrome (CSQ). The three questionnaires were applied to a sample of 253 students from both Chinese and Spanish universities. To establish the predictions, robust indexes were constructed based on the Factor Analysis of the instruments administered. Finally, logistic regression was applied to predict computer vision syndrome.
Results: The results showed greater computer vision syndrome and appetite for video games in Spanish students, and lower computer vision syndrome scores but a greater alteration of daily life in chinese students due to this type of leisure. Moreover, it was found that students from the Chinese sample entailed a lower risk of suffering from computer vision syndrome, and that having higher levels of addiction involved 1,4 times more likelihood of suffering from such syndrome.
Conclusions: The present findings demonstrate a previously unexplored relationship between video games addiction and visual symptoms related to screen exposure.Downloads
References
1. Sheppard AL, Wolffsohn JS. Digital eye strain: prevalence, measurement and amelioration. BMJ Open Ophthalmol. 1 de abril de 2018;3(1):e000146.
2. Bustamante López TY, Leal Ramírez S, Arias Guldriz M de los A, González García TR, Zazo Enrriquez RM, La O Lozano Y. Higiene y protección visual en el uso de las Tecnologías de la Información y Comunicaciones. Rev Cuba Tecnol Salud Vol 12 No 2 2021 Abril-Junio [Internet]. 30 de junio de 2021; Disponible en: http://revtecnologia.sld.cu/index.php/tec/article/view/2101
3. Rosenfield M. Computer vision syndrome: a review of ocular causes and potential treatments. Ophthalmic Physiol Opt. 1 de septiembre de 2011;31(5):502-15.
4. Kim J, Hwang Y, Kang S, Kim M, Kim TS, Kim J, et al. Association between Exposure to Smartphones and Ocular Health in Adolescents. Ophthalmic Epidemiol. 3 de julio de 2016;23(4):269-76.
5. 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. 1 de enero de 2020;30(1):189-95.
6. Przybylski AK, Rigby CS, Ryan RM. A Motivational Model of Video Game Engagement. Rev Gen Psychol. 1 de junio de 2010;14(2):154-66.
7. Colder Carras M, Kardefelt-Winther D. When addiction symptoms and life problems diverge: a latent class analysis of problematic gaming in a representative multinational sample of European adolescents. Eur Child Adolesc Psychiatry. 1 de abril de 2018;27(4):513-25.
8. Deleuze J, Long J, Liu TQ, Maurage P, Billieux J. Passion or addiction? Correlates of healthy versus problematic use of videogames in a sample of French-speaking regular players. Addict Behav. 1 de julio de 2018;82:114-21.
9. Hussain Z, Williams GA, Griffiths MD. An exploratory study of the association between online gaming addiction and enjoyment motivations for playing massively multiplayer online role-playing games. Comput Hum Behav. 1 de septiembre de 2015;50:221-30.
10. Ponce-Blandón JA, Espejel-Hernández I, Romero-Martín M, Lomas-Campos M de las M, Jiménez-Picón N, Gómez-Salgado J. Videogame-related experiences among regular adolescent gamers. PLOS ONE. 10 de julio de 2020;15(7):e0235327.
11. Puerta-Cortés DX, Panova T, Carbonell X, Chamarro A. How passion and impulsivity influence a player’s choice of videogame, intensity of playing and time spent playing. Comput Hum Behav. 1 de enero de 2017;66:122-8.
12. López-Fernández FJ, Mezquita L, Griffiths MD, Ortet G, Ibáñez MI. El papel de la personalidad en el juego problemático y en las preferencias de géneros de videojuegos en adolescentes. Adicciones Vol 33 Núm 3 2021 [Internet]. 6 de febrero de 2020; Disponible en: https://adicciones.es/index.php/adicciones/article/view/1370
13. Mihara S, Higuchi S. Cross-sectional and longitudinal epidemiological studies of Internet gaming disorder: A systematic review of the literature. Psychiatry Clin Neurosci. 1 de julio de 2017;71(7):425-44.
14. ASEVI. La Industria del Videojuego en España: Anuario 2019 [Internet]. Asociación Española del Videojuego ASEVI; 2020. Disponible en: http://www.aevi.org.es/web/wp-content/uploads/2020/04/AEVI-ANUARIO-2019.pdf
15. Ipsos MORI. Video gaming in lockdown: The impact of Covid-19 on video game play behaviours and attitudes [Internet]. Europe´s video games industry: ISFE; 2020. Disponible en: https://www.isfe.eu/publication/video-gaming-during-covid-19-lockdown-a-ipsos-mori-q1-q2-report/
16. Song Y. What new trends in the game industry will be born from the consumption upgrade of China’s generation Z? 36Kr [Internet]. 23 de junio de 2021; Disponible en: https://www.36kr.com/p/1280239986405123
17. Martin-Neuninger R, Ruby MB. What Does Food Retail Research Tell Us About the Implications of Coronavirus (COVID-19) for Grocery Purchasing Habits? Front Psychol [Internet]. 2020;11. Disponible en: https://www.frontiersin.org/article/10.3389/fpsyg.2020.01448
18. Cellini N, Canale N, Mioni G, Costa S. Changes in sleep pattern, sense of time and digital media use during COVID-19 lockdown in Italy. J Sleep Res. 1 de agosto de 2020;29(4):e13074.
19. Galindo-Romero C, Ruiz-Porras A, García-Ayuso D, Di Pierdomenico J, Sobrado-Calvo P, Valiente-Soriano FJ. Computer Vision Syndrome in the Spanish Population during the COVID-19 Lockdown. Optom Vis Sci [Internet]. 2021;98(11). Disponible en: https://journals.lww.com/optvissci/Fulltext/2021/11000/Computer_Vision_Syndrome_in_the_Spanish_Population.6.aspx
20. Perez-Dominguez F, Polanco-Ilabaca F, Pinto-Toledo F, Michaeli D, Achiardi J, Santana V, et al. Lifestyle Changes Among Medical Students During COVID-19 Pandemic: A Multicenter Study Across Nine Countries. Health Educ Behav. 1 de agosto de 2021;48(4):446-54.
21. Randolph SA. Computer Vision Syndrome. Workplace Health Saf. 1 de julio de 2017;65(7):328-328.
22. Artime Ríos EM, Sánchez Lasheras F, Suárez Sánchez A, Iglesias-Rodríguez FJ, Seguí Crespo MD. Prediction of Computer Vision Syndrome in Health Personnel by Means of Genetic Algorithms and Binary Regression Trees. Sensors. 2019;19(12).
23. Chacón Cuberos R, Zurita Ortega F, Martínez Martínez A, Castro Sánchez M, Espejo Garcés T, Pinel Martínez C. Relación entre factores académicos y consumo de videojuegos en universitarios : un modelo de regresión. Pixel-Bit Sevilla 2017 N 50 Enero P 109-121 [Internet]. 2017; Disponible en: http://hdl.handle.net/11162/135606
24. Dessie A, Adane F, Nega A, Wami SD, Chercos DH. Computer Vision Syndrome and Associated Factors among Computer Users in Debre Tabor Town, Northwest Ethiopia. Factor-Litvak PR, editor. J Environ Public Health. 16 de septiembre de 2018;2018:4107590.
25. Kim JY, Kim HS, Kim DJ, Im SK, Kim MS. Identification of Video Game Addiction Using Heart-Rate Variability Parameters. Sensors. 2021;21(14).
26. 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. 9 de marzo de 2016;9:150-150.
27. López Becerra F. Construcción y validación de un cuestionario sobre los hábitos de consumo de videojuegos en preadolescentes. Edutec Rev Electrónica Tecnol Educ. junio de 2012;(40):a197.
28. Chamarro A, Carbonell X, Manresa JM, Munoz-Miralles R, Ortega-Gonzalez R, Lopez-Morron MR, et al. El Cuestionario de Experiencias Relacionadas con los Videojuegos (CERV): Un instrumento para detectar el uso problemático de videojuegos en adolescentes españoles. Adicciones Vol 26 Núm 4 2014 [Internet]. 1 de diciembre de 2014; Disponible en: https://www.adicciones.es/index.php/adicciones/article/view/31
29. Seguí M del M, Cabrero-García J, Crespo A, Verdú J, Ronda E. A reliable and valid questionnaire was developed to measure computer vision syndrome at the workplace. J Clin Epidemiol. 1 de junio de 2015;68(6):662-73.
30. Saavedra E. Validación del cuestionario sobre hábitos de consumo de videojuegos en chilenos millennials. Anagramas Rumbos Sentidos Comun. 2020;18(36):43-55.
31. Portello JK, Rosenfield M, Bababekova Y, Estrada JM, Leon A. Computer-related visual symptoms in office workers. Ophthalmic Physiol Opt. 1 de septiembre de 2012;32(5):375-82.
32. Wittek CT, Finserås TR, Pallesen S, Mentzoni RA, Hanss D, Griffiths MD, et al. Prevalence and Predictors of Video Game Addiction: A Study Based on a National Representative Sample of Gamers. Int J Ment Health Addict. 1 de octubre de 2016;14(5):672-86.
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