COMPUTER VISION SYNDROME IN MEDICAL STUDENTS IN THE ERA OF THE COVID-19 PANDEMIC
Abstract
Aim: To analyze the factors that affect the incidence of Computer Vision Syndrome in students in the era of the COVID-19 pandemic.
Methods: This research uses a cross-sectional study with non-probability sampling techniques through consecutive sampling. The research period is online from July 31st to September 9th, 2021.
Result: Respondents who experienced Computer Vision Syndrome were 92 people out of a total of 147 respondents. Multivariate analysis with multiple logistic regressions showed that total duration, distance, and room temperature significantly affected Computer Vision Syndrome (P<0.05), with the most dominant factor being the use of air conditioning (OR 6.214).
Conclusion: Factors that significantly affect the incidence of Computer Vision Syndrome in FKUKWMS students in the era of the COVID-19 pandemic with distance learning system are total duration, distance, and air conditioner use.
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Tomorrow H, Ghori A. Exposure to video display terminals and associated neuromuscular pain and discomfort in male and female undergraduate university students. 2015;3.
Ganne P, Najeeb S, Chaitanya G, Sharma A, Krishnappa NC. Digital eye strain epidemic amid COVID-19 pandemicA cross-sectional survey. Ophthalmic Epidemiol [Internet]. 2020;
Mudawamah NS. Perilaku pengguna internet : studi kasus pada mahasiswa jurusan perpustakaan dan ilmu informasi Uin Maulana Malik Ibrahim. J Kaji Perpust dan Inf [Internet]. 2020;Vol. 4 No.(1):10713.
Yang F, Dengan B, Computer K, Unnes W. Faktor yang berhubungan dengan keluhan computer vision syndrome (cvs) pada pekerja rental komputer di wilayah Unnes. Unnes J Public Heal [Internet]. 2015;4(3):4857
Mohan A, Sen P, Shah C, Jain E, Jain S. Prevalence and risk factor assessment of digital eye strain among children using online e-learning during the COVID-19 pandemic: digital eye strain among kids (DESK study-1). BMC Ophthalmol [Internet]. 2020;69(1).
Abudawood GA, Ashi HM, Almarzouki NK. Computer vision syndrome among undergraduate medical students in King Abdulaziz University, Jeddah, Saudi Arabia. J Ophthalmol [Internet]. 2020;2020.
Alemayehu AM. Pathophysiologic mechanisms of computer vision syndrome and its prevention: review. World J Ophthalmol Vis Res [Internet]. 2019;2(5):17.
Mork R, Falkenberg HK, Fostervold KI, Thorud HMS. Visual and psychological stress during computer work in healthy, young femalesphysiological responses. Int Arch Occup Environ Health [Internet]. 2018;91(7):81130.
Astuti D, Makaba S, Tingginehe RM, Ruru Y. The determinant factors affecting the event of computer vision syndrome (CVS) on helpdesk employees at PT .Telkom Access Papua in 2020. Int J Sci Basic Appl Res [Internet]. 2020;4531(March):1734.
Iqbal M, Said O, Ibrahim O, Soliman A. Visual sequelae of computer vision syndrome: A cross-sectional case-control study. J Ophthalmol. 2021;2021.
Boadi-Kusi SB, Abu SL, Acheampong GO, Adueming POW, Abu EK. Association between poor ophthalmologic practices and computer vision syndrome among University Administrative Staff in Ghana. J Environ Public Health [Internet]. 2020;2020.
Sari FTA, Himayani R, Kedokteran F, Lampung U, Kedokteran MF, Lampung U. Faktor risiko terjadinya computer vision syndrome. Majority [Internet]. 2018;Vol.7 No.2(Maret):2788.
DOI: https://doi.org/10.33508/jwmj.v4i3.4096
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