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Karakteristik kelainan refraksi pada mahasiswa dengan computer vision syndrome di Fakultas Kedokteran Universitas Udayana Tahun 2018



Abstract

Background: Computer vision syndrome (CVS) is characterized by a range of eye and vision-related symptoms and has been a recognised health problem for over 20 years. It is estimated that globally, about 45 to 70 million people spend hours staring into a video display terminal (VDT). Uncorrected or undercorrected refractive error (RE) can be major contributing factors to computer related eye stress. The aim of this study was to investigate the RE characteristic in student with CVS at faculty of medicine Udayana University.

Method: This study is a descriptive observational study with cross sectional approach. This study was conducted at faculty of medicine Udayana University on March 15th 2018. Data was collected through questionnaires and basic ophthalmology examination.

Result: Student with CVS who participated in this study were 47 students and 35 of themwith RE. Characteristic of the subject consist of 9 boys and 38 girls. Mostly of them were 20 years old, Balinese, miopia astigmat compositum, and history of previous glasses. The most disturbing symptoms is eye strain with total 38 person (80.9%), mostly of them use computer ≥ 5 years, with duration per day were less then 4 hours, break between working about >10 minutes, and distance from eye to screen >50cm.

Conclusion: The proportion of ocular and extraocular symptom were found mostly in student with RE, however there was no statistically significant association between them (p>0.05).


Latar Belakang: Computer vision syndrome (CVS) merupakan sekumpulan gejala pada mata dan penglihatan, dimana telah menjadi perhatian dunia sejak 20 tahun. Empat puluh lima sampai tujuh puluh juta penduduk didunia menghabiskan waktu untuk menatap layar video display terminals (VDT). Salah satu faktor yang memperberat keluhan stress mata berhubungan dengan komputer adalah riwayat kelainan refraksi uncorrected maupun undercorrected. Tujuan penelitian ini adalah untuk mengetahui karakteristik kelainan refraksi yang terjadi pada mahasiswa CVS.

Metode: Penelitian ini adalah penelitian deskriptif observasional dengan pendekatan analytic cross-sectional. Penelitian ini dilaksanakan di Fakultas Kedokteran Universitas Udayana tanggal 15 Maret 2018. Data penelitian dikumpulkan melalui kuisioner dan pemeriksaan mata dasar.

Hasil: Mahasiswa yang berpartisipasi dalam penelitian ini sebanyak 47 orang CVS, dengan 35 orang mempunyai riwayat kelainan refraksi. Karakteristik subjek penelitian terdiri atas 9 orang lelaki dan 38 orang perempuan, sebagian besar subjek penelitian berusia 20 tahun, suku Bali, kelainan refaraksi miopia astigmat (MAC), dan riwayat menggunakan kacamata minus. Hasil penelitianiniantaralaingejalaterseringmatategangataulelah dengan total 38 orang (80,9%), aktivitas pemakaian komputer ≥ 5 tahun, pemakaian kurang dari 4 jam perhari, dengan jeda istirahat diantara waktu pemakaian komputer > 10 menit, dan jarakfokuskelayar>50cm.

Kesimpulan: Proporsi keluhan okular dan ekstraokular ditemukan lebih banyak pada mahasiswa dengan riwayat kelainan refraksi, walaupun secara statistik tidak ditemukan hubungan bermakna.


Keywords: computer vision syndrome kelaianan refraksi komputer.

References

  1. Akinbinu TR, Mashalla YJ. 2014. Impact of Computer Technology on Health :
  2. Computer Vision Syndrome (CVS). Academicjournals;5(3), p 21-27.
  3. Reddy SC, Low CK, Lim YP, Low LL, Mardina F, Nursahela MP. 2013.
  4. Computer vision syndrome: a study of knowledge and practices in university students. Nepalese Journal of Ophthalmology; 5(2): 161-168.
  5. Heus P, Verbeek JH , Tikka C. 2018. Optical Correction of Refractive Error for
  6. Preventing and Treating Symptoms in Computer Users. Cochrane Database of Systematic Reviews 2018 Issue 4(CD009877), p 10.
  7. Segui MM, Cabrero-Garcia J, Crespo A, Verdu J, Ronda E. 2015. A reliable and
  8. valid questionnaire was developed to measure computer vision syndrome at the workplace. Journal of Clinical Epidemiology;68(6): 662-673.
  9. Bali J, Neeraj N, Bali RT. 2017.Computer Vision Syndrome: A Review. Journal
  10. Of Clinical Opthalmology and Research.Jan-Apr.2(12).61-67.
  11. Dewi RS. 2018. Rendahnya Kepadatan Sel Goblet Konjungtiva Berkaitan Dengan Terjadinya Mata Kering Pada Mahasiswa Fakultas Kedokteran Universitas Udayana dengan Computer Vision Syndrome. Tesis, p 37-38.
  12. Ranasinghe et al. 2016. Computer Vision Syndrome among Computer Office
  13. Workers in a Developing Country : an Evaluation of Prevalence and Risk Factors. BMC Res notes;9(150),p 2-8
  14. Noreen K, Batool Z, and Fatima T. 2016. Prevalence of Computer Vision Syndrome and Its Associated Risk Factors among Under Graduate Medical Students. Pak J Ophthalmology; 32(3), p 140.
  15. Shantakumari N, Eldeeb R, Sreedharan J, Gopal K. 2014. Computer Use and Vision. Related Problems Among University Students in Ajman, United Arab Emirate. Annals of Medical and Health Sciences Research;4:258-63.
  16. Talwar R,Kapoor R, Puri K,Bansal K,Singh S. 2009. A Study of Visual and
  17. Musculosceletal Health Disorders among Computer Professionals in NCR Delhi. Indian Journal of Community Medicine; 34, p326.
  18. Smitha A, Goel D, Sharma A. 2013. Evaluation of The Factors which Contribute
  19. to the Ocular Complaints in Computer Workers. J.Clin Diagn.Res 7(2),p331-335.
  20. Margareta BC et al. 2017. Eyesight quality and Computer Vision Syndrome.
  21. Romanian Journal of Ophthalmology; 61(2), p 112-116.
  22. Venkatesh SH, Girish AT, Shashikala, et al. 2016. A Study of Computer Vision Syndrome at the Workplace-Prevalence and Causative Factors. IJCRM Journal; 3(8), p 2375-2377.
  23. Khalaj et al. 2015. Computer Vision Syndrome in Eleven to Eighteen-Year-Old
  24. Students in Qazvin. Biotech Health Scientific; 2(3)e28234, p19-20.
  25. Penisten DK, Goss DA, Philpott G. 2004. Comparisons of Dynamic Retinoscopy
  26. Measurements with a Print Card,a Visual Display Terminal and a PRIO system Tester as Test Target. Optometry;75, p231-40.
  27. Cortinez MF et al. 2008. Prevalence of Refractive Errors in a Population of
  28. Office-Workers in Buenos Aires Argentina. Opthalmic Epidemiology;15(10)

How to Cite

Maharani, L. S., Pemayun, C. D., & Handayani, A. T. (2020). Karakteristik kelainan refraksi pada mahasiswa dengan computer vision syndrome di Fakultas Kedokteran Universitas Udayana Tahun 2018. Medicina, 51(2). https://doi.org/10.15562/medicina.v51i2.770
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Luh Suci Maharani
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Cokorda Dewiyani Pemayun
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Ariesanti Tri Handayani
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