Gambaran Gejala Computer Vision Syndrome Pada Mahasiswa Fakultas Kedokteran Universitas HKBP Nommensen MedanTahun 2019/2020
Abstract
Background: The use of computers among students is now a necessary, especially for medical students both study and entertainment. This situation can increase the risk of Computer Vision Syndrome (CVS). Computer Vision Syndrome (CVS) is a bunch of symptoms on eye and vision-related problems by prolonged use of computers (such as tablets, e-readers, smartphones, etc.).
Objective: This study aimed to find out the representation of CVS symptoms experienced by medical students in Medical Faculty of Universitas HKBP Nommensen Medan.
Methods: This study is an observational descriptive with cross sectional design. The subjects were 270 students of Medical Faculty Universitas HKBP Nommensen Medan, was elected by total sampling technique due to inclusion and exclusion criteria. The instrument of this study was a questionnaire consist of 30 questions.
Results: The results showed that the most common symptoms of CVS experienced by students on Medical Faculty of Universitas HKBP Nommensen were sensitivity to light as many as 219 people (81.1%), neck and back pain as many as 214 people (79.3%) and eye strain as many as 210 people (77.8%). The maximum duration of computer use by students of Medical Faculty of Universitas HKBP Nommensen Medan is >4 hours (90.4%).
Conclusion: In this study was found that the most experienced symptom of CVS was light sensitivity. Based on the severity, CVS mild symptoms experienced are dry eye and irritation, moderate on eye strain, and severe on light sensitivity.
References
Sujono T, Sari E, editor. Jakarta: Badan Pusat Statistik; 2018. hal. 19–20
2. Venkatesh S, Chandrasekaran V, Dhandapany G, Palanisamy S,
Sadagopan S. A survey on internet usage and online learning behavior
among medical undergraduates. Postgrad Med J. 2017 May;93(1099):275-
279.
3. Fradisha M, Wulandari RAS, Sari AAA. Hubungan durasi penggunaan
komputer dengan computer vision syndrome pada karyawan Bank
Sinarmas Jakarta. Nexus Kedokteran Komunitas. 2017;6(1):50-61
4. Ibrahim H, Basri S, Jastam `MS, Kurnianda I. Faktor-faktor yang
berhubungan dengan keluhan computer vision syndrome pada pekerja
operator komputer di PT. Semen Tonasa Pangkep. Public Health Science
Journal. 2018;10(1):85-95
5. Logaraj M, Madhupriya V, Hegde S. Computer vision syndrome and
associated factors among medical and engineering students in chennai. Ann
Med Health Sci Res. Maret 2014;4(2):179–85.
6. Maroof KA, Parashar P, Bansal R. How are our medical students using the
computer and internet? A study from a medical college of north India.
Journal of the Nigeria Medical Association. 2012;53(2):89–93.
7. Kasim NAB. Hubungan antara intensitas penggunaan smartphone dengan
kejadian computer vision syndrome pada mahasiswa angkatan 2014-2016
Fakultas Kedokteran Universitas Hasanuddin (FKUH) tahun 2017 [skripsi].
Universitas Hasanuddin. 2017.
8. Maroof S, Mashhadi SF, Azam N, Haider K, Arshad N, Zulfiqar S, et al.
Relationship of screen hours with digital eye strain: a cross sectional survey
from teenagers. 2019;69(1):182-86
9. Sya’ban AR, Riski IMR. Faktor-faktor yang berhubungan dengan gejala
kelelahan mata (asthenopia) pada karyawan pengguna komputer PT.
Grapari Telkomsel kota Kendari. Seminar Nasional Bisnis dan Teknologi
2014, Bandar Lampung, Indonesia, December 2014. Darmajaya Informatics
and Business Institute, 2014.
10. American Optometric Association. Computer Vision Syndrome [Internet].
[dikutip 29 Juli 2019]. Tersedia pada: https://www.aoa.org/patients-andpublic/caring-for-your-vision/protecting-your-vision/computer-visionsyndrome.
11. Permana MA, Koesyanto H, Mardiana. Faktor yang berhubungan dengan
keluhan computer vision syndrome (CVS) pada pekerja rental komputer di
wilayah UNNES. Unnes Journal of Public Health. 2015;3.
12. Anshel JR. Computer Vision Syndrome. In: Anshel J, editor. Visual
Ergonomics Handbook. London: Taylor & Francis Group, LLC; 2005. hal.
24.
13. Mowatt L, Gordon C, Santosh ABR, Jones T. Computer vision syndrome
and ergonomic practices among undergraduate university students. Int J
Clin Pract. 2018;72(1):e13035.
14. Al Rashidi SH, Alhumaidan H. Computer vision syndrome prevalence,
knowledge and associated factors among Saudi Arabia University Students:
Is it a serious problem? Int J Health Sci (Qassim). 2017;11(5):17–9.
15. 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.
2018;30(1):189–95.
16. Brüggmann D, Groneberg DA. An index to characterize female career
promotion in academic medicine. J Occup Med Toxicol. 2017;12(1):18:1-7
17. Lazarus L, Sookrajh R, Satyapal KS. Tablet technology in medical education
in South Africa: a mixed methods study. BMJ Open. 2017;7(7):e013871.
18. Munshi S, Varghese A, Dhar-Munshi S. Computer vision syndrome—A
common cause of unexplained visual symptoms in the modern era. Int J Clin
Pract. 2017;71(7):e12962.
19. 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 [Internet]. Maret 2014;4(2):258–63.
Tersedia pada: https://pubmed.ncbi.nlm.nih.gov/24761249
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