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2000
Volume 5, Issue 1
  • ISSN: 0250-6882
  • E-ISSN: 0250-6882

Abstract

Introduction

Digital eye strain (DES), also known as computer vision syndrome (CVS), is a common condition affecting individuals who spend prolonged periods focusing on screens, leading to symptoms, such as dry eyes, eye strain, headaches, and blurred vision. University students, including medical students, increasingly spend more time staring at screens for study and research. Therefore, this study assesses the prevalence and impact of DES among medical students, a group increasingly dependent on digital resources for their studies.

Methods

This cross-sectional study was conducted from November 2023 to February 2024 at RAK Medical and Health Sciences University, UAE. A sample of 209 undergraduate medical students was recruited using non-probability convenience sampling. The sample size was calculated based on a 95% confidence level and a ±5% margin of error, representing 46.4% of the eligible population. Data were collected through a validated electronic questionnaire and analyzed using SPSS version 29, employing descriptive and inferential statistics to explore associations between visual symptoms and factors, such as refractive errors, study duration, and ergonomic practices.

Results

Among respondents, 69.9% were female, with a mean age of 19.87 ± 1.58 years. The prevalence of myopia was 49.7%, while hypermetropia and astigmatism were reported at 2.9% and 6.7%, respectively. A striking 92.8% experienced at least one DES symptom, with tired eyes (71.3%) and eye strain (58.9%) being the most common symptoms. Significant correlations were observed, including dry eyes associated with myopia ( = 0.002) and difficulty refocusing linked to hypermetropia ( = 0.029). Ergonomic practices revealed that 80.4% of students used screens closer than recommended, which correlated with increased eye strain ( = 0.001) and tired eyes ( = 0.044). Moreover, adherence to the 20-20-20 rule was low (3.8%), associated with heightened symptoms.

Conclusion

This study highlights a high prevalence of DES symptoms among medical students, related to inadequate ergonomic practices. These findings emphasize the necessity for targeted interventions to enhance eye health and ergonomic awareness in this population. Future research should evaluate the effectiveness of such interventions.

This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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2024-01-01
2025-09-28
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References

  1. WolffsohnJ.S. LinghamG. DownieL.E. HuntjensB. InomataT. JivrajS. Kobia-AcquahE. MuntzA. Mohamed-NoriegaK. PlainisS. ReadM. SayeghR.R. SinghS. UtheimT.P. CraigJ.P. TFOS Lifestyle: Impact of the digital environment on the ocular surface.Ocul. Surf.20232821325210.1016/j.jtos.2023.04.00437062428
    [Google Scholar]
  2. LewisK.O. PopovV. FatimaS.S. From static web to metaverse: Reinventing medical education in the post-pandemic era.Ann. Med.2024561230569410.1080/07853890.2024.230569438261592
    [Google Scholar]
  3. TimotheouS. MiliouO. DimitriadisY. SobrinoS.V. GiannoutsouN. CachiaR. MonésA.M. IoannouA. Impacts of digital technologies on education and factors influencing schools’ digital capacity and transformation: A literature review.Educ. Inf. Technol.20232866695672610.1007/s10639‑022‑11431‑836465416
    [Google Scholar]
  4. ZenbabaD. SahiledengleB. BonsaM. TekalegnY. AzanawJ. Kumar ChattuV. Prevalence of computer vision syndrome and associated factors among instructors in ethiopian universities: A web-based cross-sectional study.Scient. Worl. J.202120211810.1155/2021/338433234650344
    [Google Scholar]
  5. AbuallutI. AjeebiR.E. BahariA.Y. AbudeyahM.A. AlyamaniA.A. ZurayyirA.J. AlharbiA.H. Al FaqihA.A. SuwaydiA.Z. AlqasemiM.I. AlnamiB.A. Al ZahraniK.J. Prevalence of computer vision syndrome among school-age children during the covid-19 pandemic, saudi arabia: A cross-sectional survey.Children (Basel)2022911171810.3390/children911171836360446
    [Google Scholar]
  6. BhatnagarK.R. DixitS.G. PandeyL. PrakashS. ShiromaniS. SinghK. Digital eye strain among medical students associated with shifting to e-learning during COVID-19 pandemic: An online survey.Indian J. Ophthalmol.20247219810410.4103/IJO.IJO_492_2338131578
    [Google Scholar]
  7. AlamriA. AmerK.A. AldosariA.A. AlthubaitB.M.S. AlqahtaniM.S. AL MudawiA.A.M. AL MudawiB.A.M. AlqahtaniF.A.M. AlhamoudN.S.Y. Computer vision syndrome: Symptoms, risk factors, and practices.J. Family Med. Prim. Care20221195110511510.4103/jfmpc.jfmpc_1627_2136505560
    [Google Scholar]
  8. PatelH. JainR. KamathM.A. BappalA. A study on correlation of computer vision syndrome and dry eye disease and knowledge regarding its associated factors amongst health professionals.Indian J. Ophthalmol.20237141441144510.4103/IJO.IJO_2776_2237026278
    [Google Scholar]
  9. Al-MohtasebZ. SchachterS. Shen LeeB. GarlichJ. TrattlerW. The relationship between dry eye disease and digital screen use.Clin. Ophthalmol.2021153811382010.2147/OPTH.S32159134531649
    [Google Scholar]
  10. DossariS.K. AlZahraniR. AlutaibiH. Al ShuhaybB. AlsultanT. AlbenayyanH.A. Al FuraikhB.F. The effect of online education on healthy eyes of saudi teachers in the covid-19 pandemic: A local study.Cureus2022145e2472110.7759/cureus.2472135673319
    [Google Scholar]
  11. Gadain HassanH.A. Computer vision syndrome among medical students at the university of khartoum, sudan: Prevalence and associated factors.Cureus2023155e3876210.7759/cureus.3876237303411
    [Google Scholar]
  12. SengoD.B. da Deolinda Bernardo PicaA. Dos SantosI.I.A.B. MateL.M. MazuzeA.N. CaballeroP. López-IzquierdoI. Computer vision syndrome and associated factors in university students and teachers in Nampula, Mozambique.BMC Ophthalmol.202323150810.1186/s12886‑023‑03253‑038093208
    [Google Scholar]
  13. Boadi-KusiS.B. AbuS.L. AcheampongG.O. AduemingP.O.W. AbuE.K. Association between poor ergophthalmologic practices and computer vision syndrome among university administrative staff in ghana.J. Environ. Publ. Heal.202020201810.1155/2020/751635732405305
    [Google Scholar]
  14. MunshiS. VargheseA. Dhar-MunshiS. Computer vision syndrome-A common cause of unexplained visual symptoms in the modern era.Int. J. Clin. Pract.2017717e1296210.1111/ijcp.1296228594459
    [Google Scholar]
  15. SalamehM.A. BoyajianS.D. OdehH.N. AmairehE.A. FunjanK.I. Al-ShatanawiT.N. Increased incidence of musculoskeletal pain in medical students during distance learning necessitated by the COVID‐19 pandemic.Clin. Anat.202235452953610.1002/ca.2385135293024
    [Google Scholar]
  16. ShantakumariN. EldeebR. SreedharanJ. GopalK. Computer use and vision-related problems among university students in Ajman, United Arab Emirate.Ann. Med. Health Sci. Res.20144225826310.4103/2141‑9248.12905824761249
    [Google Scholar]
  17. AbudawoodG.A. AshiH.M. AlmarzoukiN.K. Computer vision syndrome among undergraduate medical students in King Abdulaziz University, Jeddah, Saudi Arabia.J. Ophthalmol.202020201710.1155/2020/2789376
    [Google Scholar]
  18. LogarajM. MadhupriyaV. HegdeS.K. Computer vision syndrome and associated factors among medical and engineering students in Chennai.Ann. Med. Health Sci. Res.20144217918510.4103/2141‑9248.12902824761234
    [Google Scholar]
  19. ReddyS.C. LowC.K. LimY.P. LowL.L. MardinaF. NursalehaM.P. Computer vision syndrome: A study of knowledge and practices in university students.Nepal. J. Ophthalmol.20135216116810.3126/nepjoph.v5i2.870724172549
    [Google Scholar]
  20. ZongZ. ZhangY. QiaoJ. TianY. XuS. The association between screen time exposure and myopia in children and adolescents: A meta-analysis.BMC Publ. Heal.2024241162510.1186/s12889‑024‑19113‑538890613
    [Google Scholar]
  21. BaM. LiZ. The impact of lifestyle factors on myopia development: Insights and recommendations.AJO International20241110001010.1016/j.ajoint.2024.100010
    [Google Scholar]
  22. WangX. LuX. YangJ. WeiR. YangL. ZhaoS. WangX. Evaluation of dry eye and meibomian gland dysfunction in teenagers with myopia through noninvasive keratograph.J. Ophthalmol.201620161510.1155/2016/676120626881059
    [Google Scholar]
  23. GushgariO.A. SayedS.H. ElgzarW.T. Digital eye strain syndrome among higher education health sciences students in Saudi Arabia: Severity and preventive ergonomic practices.PeerJ202412e1842310.7717/peerj.1842339553709
    [Google Scholar]
  24. OsamaM. AliS. MalikR.J. Posture related musculoskeletal discomfort and its association with computer use among university students.J. Pak. Med. Assoc.201868463964129808057
    [Google Scholar]
  25. AlghamdiW.M. AlrasheedS.H. Impact of an educational intervention using the 20/20/20 rule on Computer Vision Syndrome.Afr. Vision Eye Health202079110.4102/aveh.v79i1.554
    [Google Scholar]
  26. WidiaC. KurniaA. NurulhusnaH. RapidS.Z. HuseinM. WicaksonoA. Effectiveness of methods 20-20-20 preventing visual symptoms due to computer vision syndrome in nursing diploma PROGRAME students at Bakti Tunas Husada University.J. Optomet. Eye and Heal. Res.202342810.57002/joehr.v4i2.303
    [Google Scholar]
  27. AljohaniS. AlrasheedS.H. AlrashidiK. AlharbiA. AlghamdiS. AljhniM. Impact of adherence to american optometric association guidelines on computer vision syndrome and dry eye.Afr. Vision Eye Heal.202483110.4102/aveh.v83i1.966
    [Google Scholar]
  28. DafallahM.A. Mohamed AhmedO.A. Ibrahim MohamedM.M. Zakaria AbubakarR.A. EbraheemA.A. AhmedG.M.A. Computer vision syndrome among Sudanese medical students: A growing medical issue in the digital world.Ann. Med. Surg. (Lond.)20248652572257810.1097/MS9.000000000000191738694278
    [Google Scholar]
  29. AlshamraniA. AlmousaA. AlmulhimA. AlafaleqA. AlosaimiM. AlqahtaniA. AlmulhemA. AlshamraniM. AlhallafiA. AlqahtaniI. AlshehriA. Prevalence and risk factors of dry eye symptoms in a Saudi Arabian population.Middle East Afr. J. Ophthalmol.2017242677310.4103/meajo.MEAJO_281_1628936049
    [Google Scholar]
  30. AlkhaldiS.A. AllamK.H. RadwanM.A. SweeneyL.E. AlshammeriS. Estimates of dry eye disease in Saudi Arabia based on a short questionnaire of prevalence, symptoms, and risk factors: The Twaiq Mountain Eye Study I.Cont. Lens Anterior Eye202346210177010.1016/j.clae.2022.10177036210288
    [Google Scholar]
  31. AnggrainyP. Rahmawaty LubisR. AsharT. The effect of trick intervention 20-20-20 on computer vision syndrome incidence in computer workers.Oftalmol. Zh.2020841222710.31288/oftalmolzh202012227
    [Google Scholar]
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  • Article Type:
    Research Article
Keyword(s): Computer; Cross-Sectional Studies; Digital Eye Strain; Ergonomics; Medical; Students; Syndrome; Vision
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