Risk Factors for Computer Vision Syndrome (CVS) among College Students during the Covid-19 Pandemic
Background: Sophisticated technology provides many conveniences for humans, as well as education that cannot be separated from it, especially during this COVID-19 pandemic in which the learning methods are carried out online. This is what causes the intensity of using a computer or laptop to increase so that it can trigger the occurrence of visual impairment, namely Computer Vision Syndrome (CVS). There is no definite data regarding CVS and CVS research on university students, especially in Surabaya, is still very small.
Objectives: This study aims to analyze the risk factors for CVS among college students during the COVID-19 pandemic.
Methods: This research was analytic observational research with a cross-sectional research design. This research was conducted from December 2020 to June 2021. The sampling method used was a systematic random sampling addressed to 249 Public Health undergraduate students from the second, fourth, and sixth semesters. The instrument used was CVS-Q with additional questions related to respondent identity, medical history, and computer-usage behavior. Furthermore, the data were analyzed by calculating the Odds Ratio (OR) with a 95% confidence interval (CI).
Results: Gender (OR = 2.54) and a history of eye disorders (OR = 4.01) were risk factors for Computer Vision Syndrome (CVS) in S1 Public Health Science students.
Conclusions: This research shows that the risk factors for CVS are gender and a history of eye disorders. The students who use computers with high intensity should take CVS precautions, such as applying the 20-20-20 rule, using anti-radiation glasses, adjusting the brightness of the computer screen, adding an anti-glare on the computer screen, avoiding working in a dark room, and performing an ergonomic body position when using a computer.
Abudawood, G.A., Ashi, H.M. and Almarzouki, N.K., 2020. Computer Vision Syndrome among Undergraduate Medical Students in King Abdulaziz University, Jeddah, Saudi Arabia. Journal of Ophthalmology. [online] Available at: <https://doi.org/10.1155/2020/2789376>.
Alamro, M., Alhumaid, Z., Alokaili, H., Alrumayyan, A., El-Toum, M., Alomari, R. and Ahmed, M., 2020. Computer Vision Syndrome Among Male and Female Medical Students in King Saud bin Abdulaziz University, Riyadh. International Journal of Medicine in Developing Countries, [online] 4(9), pp.1410–1415. Available at: <https://www.bibliomed.org/?mno=66801>.
Alma, S. and Asniar, 2019. Faktor Risiko Computer Vision Syndrome pada Mahasiswa Fakultas Keperawatan Universitas Syiah Kuala. Jim Fkep, [online] 4(1), pp.128–135. Available at: <http://jim.unsyiah.ac.id/FKep/article/view/12079>.
Altalhi, A., Khayyat, W., Khojah, O., Alsalmi, M. and Almarzouki, H., 2020. Computer Vision Syndrome Among Health Sciences Students in Saudi Arabia: Prevalence and Risk Factors. Cureus, [online] 12(2). Available at: <https://pubmed.ncbi.nlm.nih.gov/32226662/>.
Amalia, H., 2018. Computer Vision Syndrome. Jurnal Biomedika dan Kesehatan, [online] 1(2), pp.117–118. Available at: <https://doi.org/10.18051/JBiomedKes.2018.v1.117-118>.
American Optometric Association, 2021. Computer Vision Syndrome. [online] Available at: <https://www.aoa.org/healthy-eyes/eye-and-vision-conditions/computer-vision-syndrome?sso=y> [Accessed 15 September 2021].
Bausch & Lomb Incorporated, 2021. Computer Vision Syndrome. [online] Available at: <https://www.bausch.co.id/id-id/your-eye-concerns/eye-infections-and-irritations/computer-vision-syndrome/> [Accessed 26 September 2021].
Dabrowiecki, A., Villalobos, A. and Krupinski, E.A., 2019. Impact of Blue Light Filtering Glasses on Computer Vision Syndrome in Radiology Residents: A Pilot Study. Journal of Medical Imaging, 7(2). https://doi.org/https://doi.org/10.1117/1.JMI.7.2.022402.
Darmaliputra, K. and Dharmadi, M., 2019. Gambaran Faktor Risiko Individual Terhadap Kejadian Computer Vision Syndrome pada Mahasiswa Jurusan Teknologi Informasi Universitas Udayana Tahun 2015. E-Jurnal Medika, [online] 8(1), pp.95–102. Available at: <https://ojs.unud.ac.id/index.php/eum/article/view/50193>.
Dotulong, D.J., Rares, L.M. and Najoan, I.H.M., 2021. Computer Vision Syndrome. e-CliniC, [online] 9(1), pp.20–25. Available at: <https://ejournal.unsrat.ac.id/index.php/eclinic/article/view/31707>.
Febrianti, S. and Bahri, T.S., 2018. Gejala Computer Vision Syndrome pada Mahasiswa Keperawatan. Jim Fkep, [online] 3(3), pp.201–207. Available at: <http://jim.unsyiah.ac.id/FKep/article/view/8430>.
Hassan, H.M.J., Ehsan, S. and Arshad, H.S., 2016. Frequency of Computer Vision Syndrome & Ergonomic Practices among Computer Engineering Students. International Journal of Science and Research (IJSR), [online] 5(5), pp.121–125. Available at: <https://www.researchgate.net/publication/301895316_Frequency_of_Computer_Vision_Syndrome_Ergonomic_Practices_among_Computer_Engineering_Students>.
Insani, Y. and N, N. wunaini, 2018. Hubungan Jarak Mata dan Intensitas Pencahayaan terhadap Computer Vision Syndrome. Jurnal Manajemen Kesehatan Yayasan RS Dr. Soetomo, [online] 4(2), pp.153–162. Available at: <https://jurnal.stikes-yrsds.ac.id/index.php/JMK/article/view/120>.
Isnaniar, Norlita, W. and Afrizen, P., 2021. Hubungan Waktu Penggunaan Komputer Terhadap Kejadian Computer Vision Syndrome pada Mahasiswa Fakultas Ilmu Komputer Universitas Muhammadiyah Riau. Jurnal Kesehatan" As-Shiha", [online] 1(1), pp.34–46. Available at: <https://ejurnal.umri.ac.id/index.php/JKU/article/view/2566>.
Maharani, L.S., Pemayun, C.D. and Handayani, A.T., 2020. Karakteristik Kelainan Refraksi pada Mahasiswa Dengan Computer Vision Syndrome di Fakultas Kedokteran Universitas Udayana Tahun 2018. Medicina, [online] 51(2), pp.201–206. Available at: <https://www.medicinaudayana.org/index.php/medicina/article/viewFile/770/398>.
Mani, S., Menon, L., Harishankar, S. and Mathew, A., 2016. the Prevalence of Computer Vision Syndrome Among Information Technology Students in A Rural Engineering College. International Journal of Current Research, [online] 8(11), pp.2–5. Available at: <https://www.researchgate.net/publication/312891247_THE_PREVALENCE_OF_COMPUTER_VISION_SYNDROME_AMONG_INFORMATION_TECHNOLOGY_STUDENTS_IN_A_RURAL_ENGINEERING_COLLEGE>.
Muchtar, H. and Sahara, N., 2016. Hubungan Lama Penggunaan Laptop Dengan Timbulnya Keluhan Computer Vision Syndrome (CVS) pada Mahasiswa/i Fakultas Kedokteran Umum Universitas Malahayati. Jurnal Medika Malahayati, [online] 3(4), pp.197–203. Available at: <http://ejurnalmalahayati.ac.id/index.php/medika/article/view/2038>.
Nadia, A.S., Paramita, A. and Rahman, A.O., 2021. Hubungan Durasi Penggunaan Komputer Portabel Dengan Kejadian Computer Vision Syndrome pada Mahasiswa Fakultas Kedokteran dan Ilmu Kesehatan Universitas Jambi Tahun 2020. Medical Dedication (medic), [online] 4(1), pp.179–184. Available at: <https://online-journal.unja.ac.id/medic/article/view/13480/11295>.
O, A., 2019. Prevalence and Knowledge of Computer Vision Syndrome (CVS) Among The Working Class Adults in F.C.T. Nigeria. Journal of the Nigerian Optometric Association, [online] 21(1), pp.49–60. Available at: <https://www.ajol.info/index.php/jnoa/article/view/189347>.
Permana, M.A., Koesyanto, H. and Mardiana, 2015. Faktor Yang Berhubungan Dengan Keluhan Computer Vision Syndrome(CVS) pada Pekerja Rental Komputer di Wilayah UNNES. Unnes Journal of Public Health, [online] 4(3), pp.48–57. Available at: <https://journal.unnes.ac.id/sju/index.php/ujph/article/view/6372>.
Putri, D.W. and Mulyono, M., 2018. Hubungan Jarak Monitor, Durasi Penggunaan Komputer, Tampilan Layar Monitor dan Pencahayaan dengan Keluhan Kelelahan Mata. The Indonesian Journal of Occupational Safety and Health, [online] 7(1), pp.1–10. Available at: <https://e-journal.unair.ac.id/IJOSH/article/view/10095>.
Ranasinghe, P., Wathurapatha, S., Perera, Y.S., Lamabadusuriya, D.A., Kulatunga, S., Jayawardana, N. and
Katulanda, P., 2016. Computer Vision Syndrome Among Computer Office Workers in A Developing Country: An Evaluation of Prevalence and Risk Factors. Pubmed Central. [online] Available at: <https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4784392/>.
Ranganatha, S. and Jailkhani, S., 2019. Prevalence and Associated Risk Factors of Computer Vision Syndrome among the Computer Science Students of an Engineering College of Bengaluru-A Cross-Sectional Study. Galore International Journal of Health Sciences and Research, [online] 4(3), pp.10–15. Available at: <https://www.gijhsr.com/GIJHSR_Vol.4_Issue.3_July2019/3.pdf>.
Sari, F.T.A. and Himayani, R., 2018. Faktor Risiko Terjadinya Computer Vision Syndrome. Majority, [online] 7(2), pp.278–282. Available at: <http://repository.lppm.unila.ac.id/8228/1/1890-2609-1-PB.pdf>.
Tawil, L. Al, Aldokhayel, S., Zeitouni, L., Qadoumi, T., Hussein, S. and Ahamed, S.S., 2020. Prevalence of Self-Reported Computer Vision Syndrome Symptoms and Its Associated Factors Among University Students. European Journal of Ophthalmology, [online] 30(1), pp.189–195. Available at: <https://pubmed.ncbi.nlm.nih.gov/30474390/>.
Valentina, D.C.D., Yusran, M., Wahyudo, R. and Himayani, R., 2019. Faktor Risiko Sindrom Penglihatan Komputer pada Mahasiswa Jurusan Ilmu Komputer Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Lampung. Jimki, [online] 7(2), pp.29–37. Available at: <https://bapin-ismki.e-journal.id/jimki/article/view/50>.
Williams, S.C.P., 2021. Prevent Eyestrain From Digital Devices. [online] WebMD. Available at: <https://www.webmd.com/eye-health/prevent-digital-eyestrain> [Accessed 8 March 2023].
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