The Characteristics Of Computer Vision Syndrome Incidence In Medical Students At Baiturrahmah University Batch Of 2023
DOI:
https://doi.org/10.62872/t4wdmf48Keywords:
CVS, Screen Distance, Screen TimeAbstract
Computer Vision Syndrome (CVS) is an eye disorder caused by excessive screen time, which has become increasingly unavoidable in the digital era, particularly among medical students. This study aimed to determine the characteristics of CVS incidence among medical students of Baiturrahmah University, batch of 2023. Employing a descriptive approach, the study included 73 students selected using a purposive sampling technique, with univariate data analysis conducted through the SPSS program. The results revealed that 51 respondents (69.9%) were female, with 59 respondents (80.8%) using more than two devices daily. All respondents (100%) reported daily monitor usage exceeding four hours, categorized as unsafe screen time, and 62 respondents (84.9%) maintained an unsafe viewing distance from their monitors. Despite these findings, the majority of respondents (95.9%) did not experience CVS symptoms based on CVS-Q scores. These results suggest that while prolonged screen time and unsafe device usage are prevalent, they do not necessarily correlate with CVS incidence in this population
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Abbasi S, Ayoob T, Malik A. Perceptions of students regarding e-learning during covid-19 at a private medical college. Pakistan Journal of Medical Sciences 2020; 36: S57–S61.
Agustina N. Mata dan Bagian Mata. Direktorat Jenderal Pelayanan Kesehatan. 2022.
Alexandria V.The Vision Council Shines Light On Protecting Sight – And Health – In A Multi-Screen Era. 2019.
Alma S & Asniar. Faktor Risiko Computer Vision Syndrome pada Mahasiswa Fakultas Keperawatan Universitas Syiah Kuala. Jim Fkep. 2019. 4(1) ; 128–135.
American Optometric Association. Computer Vision Syndrome [Internet].AOA. 2023. https://www. aoa.org/healthy-eyes/eye-and-vision- conditions/computer-vision- syndrome?sso=y.
American Optometric Association. Computer Vision Syndrome [Internet].AOA[cited15june2021].https://www. aoa.org/healthy-eyes/eye-and-vision- conditions/computer-vision- syndrome?sso=y.2021.
Anggraeni MN, Yudiernawati A, Sutriningsih A. Hubungan Perilaku Pemakaian Laptop Dengan Kejadian Computer Vision Syndrome (CVS). Nurs News (Meriden). 2018;3(3):608–17.
Benggu A , Yendris K. Syamruth, & Grouse T.S Oematan. Relationship Between Smartphone Use During Work From Home (WFH) and Computer Vision Syndrome (CVS). (Study on 2018-2020 Students of the Faculty of Public Health, Nusa Cendana University). Timorese Journal of Public Health. 2022.4(2) ; 52-60 e-ISSN 2685-4457.
Cinthya D, Valentina D, Yusran M, et al. Faktor Risiko Sindrom Penglihatan Komputer pada Mahasiswa Jurusan Ilmu Komputer Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Lampung. Jimki 2019; 7: 29–37.
Darmaliputra K, Dharmadi M. Gambaran Faktor Risiko Individual Terhadap Kejadian Computer Vision Syndrome pada Mahasiswa Jurusan Teknologi Informasi Universitas Udayana Tahun 2015. E-Jurnal Medika 2019; 8: 95–102.
Darmawan D, Anik Setyo Wahyuningsih Keluhan Subjektif Computer Vision Syndrome Pada Pegawai Pengguna Komputer Dinas Komunikasi dan Informasi. Indonesian Journal of Public Health and Nutrition. IJPHN 1 (2) (2021) 172-183
Erlita S. Computer Vision Syndrome Pada Mahasiswa Fakultas Kedokteran Universitas Pembangunan Nasional Veteran Jakarta. Skripsi Fakultas Kedokteran. Universitas Pembangunan Nasional Veteran Jakarta. 2022
Fadilah A & Maharsi ED. Pengaruh Penggunaan Perangkat Digital Terhadap Timbulnya Computer Vision Syndrome Pada Mahasiswa Fakultas Kedokteran. Junior Medical Jurnal, 2022. 1(3).
Faturahman Y & Purwanto, 2023. Faturahman Y & Purwanto A. Deskripsi Faktor-Faktor Yang Berhubungan Dengan Keluhan Computer Vision Syndrome (CVS). (Studi pada Karyawan Universitas Siliwangi). Jurnal Kesehatan komunitas Indonesia. 2010. 19(1).
Halawa EM, Zaluchu RP & Hendra. Gambaran Gejala Computer Vision Syndrome pada Mahasiswa Fakultas Kedokteran Universitas HKBP Nommensen Medan Tahun 2019/2020. NJM. 2022. 8(1).
Kemenkes RI. Cegah mata lelah dengan metode 20:20:20. p2ptm.kemkes.go.id.
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.
Monaliza & Karim D. Faktor-Faktor Yang Berhubungan Dengan Keluhan Computer Vision Syndrome (CVS) Pada Mahasiswa Universitas Keperawatan Riau. Jom FKP. 2018;5(2).
Monaliza, 2018. Monaliza, Darwin Karim SRHD. Faktor-Faktor yang Berhubungan Dengan Keluhan Computer Vision Syndrome (CVS) Pada Mahasiswa Universitas Keperawatan Riau. JOM FKp. 2018;5(2).
Nuryasin MF. Prevalensi Computer Vision Syndrome Pada Siswa SMA Islam Al-Azhar 3 Pusat J Akarta Selama Masa Pandemi Covid-19 Dan Faktor-Faktor Penyebabnya. Skripsi Fakultas Kedokteran Universitas Islam Negeri Syarif Hidayatullah Jakarta. 2022.
Prasetyaningsih N, Hartanti MD, Adiwardhani A & Samira J. Karakteristik dan Hubungan Faktor Risiko Computer Vision Syndrome (CVS) dengan Keluhan CVS pada Pekerja Bidang Pendidikan. Jurnal Biomedika dan Kesehatan. 2022. 5(2).
Ramadhan MF, Eldrian, F. ., & Ashan, H. . (2022). Gambaran Faktor Risiko Individual terhadap Kejadian Computer Vision Syndrome pada Mahasiswa Pendidikan Dokter Angkatan 2020
Safaryna AM , Dian Prasasti Kurniawati1, Fariani Syahrul1 , Reni Prastyani2Faktor Risiko Computer Vision Syndrome (CVS) pada Mahasiswa pada Masa Pandemi Covid-19. Media Gizi Kesmas, 2023. 12(1) : 200-206.
Septiyanti RA, Fathimah A & Asnifatima A. Faktor-Faktor Yang Berhubungan Dengan Kejadian Computer Vision Syndrome Pada Pekerja Pengguna Komputer Di Universitas Ibn Khaldun Bogor Tahun 2020. Romotor Jurnal Mahasiswa Kesehatan Masyarakat. 2022. 5(1).
Sholikhah VH. Tips Cegah Cvs Akibat Terlalu Lama Menatap Layar Selama Wfh. Universitas Airlangga. 2021.
Tiomegarani AV, Wijaya H, Adinda MN, Suhada M & Anugrahsari S. Gambaran Gejala Computer Vision Syndrome Pada Mahasiswa FKIK Universitas Kristen Krida Wacana. JMJ. 2022. 10(4) ; 581-593.
Valentina D , Yusran M, Wahyudo R & Himayani R. (2020). Faktor Risiko Computer Vision Syndrome Pada Mahasiswa Jurusan Ilmu Komputer Fakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Lampung. JIMKI: Jurnal Ilmiah Mahasiswa Kedokteran Indonesia. 2020. 7(2) ; 29-37. https://doi.org/10.53366/jimki.v7i2.50
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. 93(1099):275- 279.
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Copyright (c) 2024 Naima Lassie, Rampak Mawida, Nurwiyeni Nurwiyeni, Hondrizal Hondrizal, Chandra Adilla, Raihana Rustam (Author)
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This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
