Main Article Content
Abstract
Highlights:
- There is a correlation between screen time and dry eye disease among medical students due to distance learning during the pandemic.
- This study's findings can lead researchers to conduct further studies to investigate and prevent DED.
Abstract:
Dry eye disease (DED), also known as dry-eye syndrome, is commonly caused by a lack of tears or excessive evaporation. It affects 334 million people worldwide. According to global epidemiological research, the DED prevalence in adults and the elderly is roughly 5-50%. Research has revealed that DED prevalence and epidemiology are more typically connected to aging. However, extended exposure to digital screens is an external DED risk factor to be aware of, especially in this digital technology era and amidst the COVID-19 pandemic. These two situations are expected to increase the number of DED sufferers in the younger age groups, such as elementary, high school, and university students. The ongoing COVID-19 pandemic has compelled a shift in learning and teaching methods in order for education to proceed. However, the digitization era and the COVID-19 pandemic can double the DED risk, particularly among medical students. This study's objective was to determine how remote learning affected DED prevalence among the class of 2019 medical students at Universitas Tarumanagara, Jakarta, Indonesia, in the COVID-19 pandemic. Data were collected from 144 respondents using a Google Forms questionnaire. According to the statistical test results, there was a 2.4-fold increase in screen time during the COVID-19 pandemic compared to the pre-pandemic period. The results demonstrated a significant relationship between screen time and DED among the class of 2019 medical students at Universitas Tarumanagara. These findings are predicted to be of interest to academics and students, as their frequent engagement with computer displays and smartphones will continue to increase due to technological advancements. Furthermore, researchers may use the findings as a reference in conducting DED-related research.
Keywords
Article Details
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References
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References
Adam NS, Kartowagiran B, Yansa H, et al (2021). Self-regulated learning strategy in conducting remote lecturing during Covid-19 pandemic. JPI (Jurnal Pendidikan Indonesia 11, 274–82. doi: 10.23887/jpiundiksha.v11i2.34801.
Agarwal P, Craig JP, Rupenthal ID (2021). Formulation considerations for the management of dry eye disease. Pharmaceutics 13, 207. doi: 10.3390/pharmaceutics13020207.
Albert M (2020). Study of the student workload per day in working with computers. Trakia Journal of Sciences 18, 230–6. doi: 10.15547/tjs.2020.s.01.040.
Alkabbani S, Jeyaseelan L, Rao AP, et al (2021). The prevalence, severity, and risk factors for dry eye disease in Dubai – a cross sectional study. BMC Ophthalmology 21, 219. doi: 10.1186/s12886-021-01978-4.
Ardyan E, Kurniawan D, Istiatin I, et al (2021). Does customers' attitude toward negative eWOM affect their panic buying activity in purchasing products? Customers satisfaction during COVID-19 pandemic in Indonesia ed. Morteza A. Cogent Bus Manag. doi: 10.1080/23311975.2021.1952827.
Bahkir F, Grandee S (2020). Impact of the COVID-19 lockdown on digital device-related ocular health. Indian Journal of Ophthalmology 68, 2378. doi: 10.4103/ijo.ijo_2306_20.
Bulut C, Kato Y (2020). Epidemiology of COVID-19. Turkish Journal of Medical Sciences 50, 563–70. doi: 10.3906/sag-2004-172.
Cartes C, Segovia C, Salinas-Toro D, et al (2022). Dry eye and visual display terminal-related symptoms among University students during the coronavirus disease pandemic. Ophthalmic Epidemiology 29, 245–251. doi: 10.1080/09286586.2021.1943457.
Condori-Meza IB, Dávila-Cabanillas LA, Challapa-Mamani MR, et al. (2021). Problematic internet use associated with symptomatic dry eye disease in medical students from Peru. Clinical Ophthalmology, 4357–65. doi: 10.2147/opth.S334156.
Favero G, Moretti E, KrajÄíková K, et al (2021). Evidence of polyphenols efficacy against dry eye disease. Antioxidants 10, 190. doi: 10.3390/antiox10020190.
Hasanah RA, Suwandi T, Wibowo A (2017). Prevelance on the occurance of computer vision syndrome to VDT operator in Bank Surabaya, Indonesia. Indian Journal of Public Health Research & Development 8, 291. doi: 10.5958/0976-5506.2017.00357.6.
Kawashima M, Yamada M, Shigeyasu C, et al. (2020). Association of systemic comorbidities with dry eye disease. Journal of Clinical Medicine 9, 2040. doi: 10.3390/jcm9072040.
Khariri A, Arya Ivan Mahendra, Maesarah, et al. (2022). Prevention of mental health disorder among adolescents during the covid-19 pandemic. Jurnal Psikiatri Surabaya 11, 61–70. doi: 10.20473/jps.v11i2.29688.
Latkany R, Miller D, Zeev MS-B (2014). Diagnosis of dry eye disease and emerging technologies. Clinical Ophthalmology 581. doi: 10.2147/opth.S45444.
Loebis R, Subakti Zulkarnain B, Zahra N (2021). Correlation between the exposure time to mobile devices and the prevalence of evaporative dry eyes as one of the symptoms of computer vision syndrome among Senior High School students in East Java, Indonesia. Journal of Basic and Clinical Physiology and Pharmacology 32, 541–5. doi: 10.1515/jbcpp-2020-0478.
Madden LC, Tomlinson A, Simmons PA (2013). Effect of humidity variations in a controlled environment chamber on tear evaporation after dry eye therapy. Eye & Contact Lens: Science & Clinical Practice 39, 169–74. doi: 10.1097/icl.0b013e318283dfc6.
Mehra D, Galor A (2020). Digital screen use and dry eye: A review. Asia-Pacific Journal of Ophthalmology 9, 491–7. doi: 10.1097/apo.0000000000000328.
Naderi K, Gormley J, O'Brart D (2020). Cataract surgery and dry eye disease: A review. European Journal of Ophthalmology 30, 840–55. doi: 10.1177/1120672120929958.
Sánchez-Valerio M del R, Mohamed-Noriega K, Zamora-Ginez I, et al. (2020). Dry eye disease association with computer exposure time among subjects with computer vision syndrome. Clinical Ophthalmology, 4311–7. doi: 10.2147/opth.S252889.
Savitri NH, Adinda Sandya Poernomo, Muhammad Bagus Fidiandra1, et al. (2022). Myopia prevalence among students during covid-19 pandemic. A systematic review and meta-analysis. Journal of Community Medicine and Public Health Research 3, 111–20. doi: 10.20473/jcmphr.v3i2.30475.
Sheppard AL, Wolffsohn JS (2018). Digital eye strain: prevalence, measurement and amelioration. BMJ Open Ophthalmology 3, e000146. doi: 10.1136/bmjophth-2018-000146.
Sievertsen HH, Burgess S (2020). Schools, skills, and learning: The impact of COVID-19 on education. VOX, CEPR Policy Portal.
Stapleton F, Alves M, Bunya VY, et al (2017). TFOS DEWS II epidemiology report. The Ocular Surface 15, 334–65. doi: 10.1016/j.jtos.2017.05.003.
Supiyaphun C, Jongkhajornpong P, Rattanasiri S, et al. (2021). Prevalence and risk factors of dry eye disease among University Students in Bangkok, Thailand ed. Bencharit S. PLoS One 16, e0258217. doi: 10.1371/journal.pone.0258217.
Talens-Estarelles C, García-Marqués JV, Cervino A, et al. (2021). Use of digital displays and ocular surface alterations: A review. The Ocular Surface 19, 252–65. doi: 10.1016/j.jtos.2020.10.001.
Tesón M, González-García MJ, López-Miguel A, et al. (2013). Influence of a controlled environment simulating an in-flight airplane cabin on dry eye disease. Investigative Opthalmology & Visual Science 54, 2093. doi: 10.1167/iovs.12-11361.
Thun-Hohenstein L, Höbinger-Ablasser C, Geyerhofer S, et al. (2021). Burnout in medical students. neuropsychiatrie 35, 17–27. doi: 10.1007/s40211-020-00359-5.
Usgaonkar U, Shet Parkar S, Shetty A (2021). Impact of the use of digital devices on eyes during the lockdown period of COVID-19 pandemic. Indian Journal of Ophthalmology 69, 1901. doi: 10.4103/ijo.ijo_3500_20.
Yazdani M, Elgstí¸en KBP, Rootwelt H, et al. (2019). Tear metabolomics in dry eye disease: A review. International Journal of Molecular Sciences 20, 3755. doi: 10.3390/ijms20153755.
Yuan K, Zhu H, Mou Y, et al (2021). Effects on the ocular surface from reading on different smartphone screens: A prospective randomized controlled study. Clinical and Translational Science 14, 829–36. doi: 10.1111/cts.12933.
Zulkarnain BS, Loebis R, Aryani T (2022). Sodium hyaluronate eye drops for college students with computer vision syndrome in Indonesia. Folia Medica Indonesiana 58, 293–7. doi: 10.20473/fmi.v58i4.6704.