Dijital çağın yeni salgın hastalığı: Bilgisayarlar gözümüze düşman mı?

Öz

Amaç: Pek çok insan, özellikle de son zamanlarda ortaya çıkan covid 19 salgını nedeniyle evde çalışıyor. Bu insanlar giderek artan bir şekilde dijital ekran kullanımına maruz kalıyor. Bu durum, toplumda miyopi oranının artmasını açıklayabilir. Yöntemler: Bu ileriye dönük çalışmada, günde 8 saat bilgisayar kullanan tıbbi sekreterlerin göz ölçümlerini değerlendirdik. Gönüllüler mesaiden önce / sonra takip edildi. (08:00 ve 16.00) Refraksiyon değeri, göz içi basıncı, aksiyel uzunluk ve lens kalınlığı ölçümü, ön segment parametrelerinin ölçümü (merkezi kornea kalınlığı, yatay görünür iris çapı, kornea hacmi, ön kamara derinliği, ön kamara hacmi, ön kamara açısı, pupil çapı) kaydedildi. Bulgular: 110 gönüllünün 110 gözü çalışmaya dahil edildi. Gönüllülerin ortalama yaşı 25 ile 47 arasında ve ortalama 35.8 ± 5.8 idi. Cinsiyete göre 95 (% 86) kadın ve 15 (% 14) erkek gönüllü vardı. Mesai öncesi ve sonrası sferik kırılma (mesai öncesi -0,29 ± 1,46 / mesai sonrası -0,54 ± 1,57) (p <0,001), lens kalınlığı (mesai öncesi 3,71 ± 0,35 / mesai sonrası 3.74 ± 0,30) (p = 0,006) ve pupil çapı (mesai öncesi 3,43 ± 0,41 / mesai sonrası 3,23 ± 0,54) (p <0,001 ) olarak tespit edildi. Diğer parametrelerde önemli bir değişiklik bulunamadı. (p> 0.05) Sonuç: Bir günlük süre düşünüldüğünde, uzun süreli bilgisayar kullanıcılarında kornea biyomekaniğinde bazı değişiklikler olabilir ve bu durum miyopi gelişimini açıklayabilir.

Anahtar Kelimeler

• Miyopi
• Refraksiyon
• korneal topografi
• bilgisayar göz sendromu
• korneal biomekanik

The new epidemic disease of the digital age: Are the computers enemy to our eyes?

Abstract

Aim: Many people work, especially due to the recent covid 19 pandemic lockdown, at home. These people are progressively increasingly exposed to digital screen use. This situation may express an explanation for the get a bigger ratio of myopia. Methods: In this prospective study, we evaluated the eye measurements of medical secretaries who use computers for 8 hours a day. Volunteers were followed before/after the work shift. (8am and 4pm) Refraction, intraocular pressure, axial length and lens thickness measurement, measurement of anterior segment parameters (central corneal thickness, horizontal visible iris diameter, corneal volume, anterior chamber depth, anterior chamber volume, anterior chamber angle, pupil diameter) mean were recorded. Result: 110 eyes of 110 volunteers were included in the study. The mean age of the volunteers was between 25 and 47 and the mean was 35.8 ± 5.8. There were 95 (86%) female and 15 (14%), male volunteers, by gender. Comparing before and after the work shift spherical refraction ( pre-shift -0,29±1,46 / post-shfit -0,54±1,57 )(p<0,001), lens thickness ( pre-shift 3,71±0,35 / post-shift 3.74±0,30)(p=0,006) and pupil diameter (pre-shfit 3,43 ±0,41 / post-shfit 3,23±0,54 )( p<0,001) were detected. No significant change was found in other parameters. (p> 0.05) Conclusıon: Considering the one day period, there are some changes in corneal biomechanics in long-term computer users and this situation may explain the development of myopia.

Keywords

• Corneal biomechanical
• computer vision syndrome
• corneal topography
• myopia
• refraction

References

1. Jaiswal S, Asper L, Long J, Lee A, Harrison K. Ocular and visual discomfort associated with smartphones, tablets and computers: what we do and do not know. Clinical and Experimental Optometry, 2019 102(5), 463-477.
2. Coles-Brennan C, Sulley A, Young G. Management of digital eye strain. Clin Exp Optom 2019;102:18-29.
3. Mocci F, Serra A, Corrias GA. Psychological factors and visual fatigue in working with video display terminals. Occup Environ Med 2001;58:267-71.
4. Salibello C, Nilsen E Is there a typical VDT patient? A demographic analysis. J Am Optom Assoc 1995;66: 479-83.
5. Blehm C, Vishnu S, Khattak A, Mitra S, Yee RW. Computer vision syndrome: a review. Surv Ophthalmol 2005;50(3):253-62.
6. Rosenfield M. Computer vision syndrome: a review of ocular causes and potential treatments. Ophthalmic Physiol Opt 2011;31(5):502-15.
7. Sheppard AL, Wolffsohn JS. Digital eye strain: prevalence, measurement and amelioration. BMJ Open Ophthalmology, 2018; 3(1).
8. Reddy SC, Low CK, Lim YP, Low LL, Mardina F, Nursaleha MP. Computer vision syndrome: a study of knowledge and practices in university students. Nepal J Ophthalmol 2013; 5: 161–168.

9. Logaraj M, Madhupriya V, Hegde S. Computer vision syndrome and associated factors among medical and engineering students in Chennai. Ann Med Health Sci Res 2014; 4: 179–185.
10. Wen L, Cao Y, Cheng Q, Li X, Pan L, Li L, et al. Objectively measured near work, outdoor exposure and myopia in children. British Journal of Ophthalmology. 2020 Feb 19.
11. Hanne W, Brewitt H, Augenklink Rechts DI, Munchen TU. Changes in visual function caused by work at a data display terminal. Ophthalmologe 1994;901: 107-12.
12. Akkaya S, Atakan T, Açıkalın B, Aksoy S, Özkurt Y. The Effect of Long Term Computure Use on Dry eye. Northern Clinics of İstanbul. 2018; 5(4) 319-322
13. 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).
14. Ranasinghe P, Wathurapatha WS, Perera YS, Lamabadusuriya DA, Kulatunga S, Jayawardana N, et al. Computer vision syndrome among computer office workers in a developing country: an evaluation of prevalence and risk factors. BMC Res Notes. 2016;9:150.
15. Hirota M, Uozato H, Kawamorita T, Shibata Y, Yamamoto S. Effect of incomplete blinking on tear film stability. Optom Vis Sci. 2013;90:650
16. Gowrisankaran S, Sheedy JE. Computer vision syndrome: a review. Work 2015; 52: 303– 314.
17. Nakamura S, Kinoshita S, Yokoi N, Ogawa Y, Shibuya M, Nakashima H et al. Lacrimal hypofunction as a new mechanism of dry eye in visual display terminal users. PLoS One 2010; 5(6):e11119.
18. Pararajasegaram R. VISION 2020-the right to sight: From strategies to action. Am J Ophthalmol 1999;128:359–360.
19. Vitale S, Sperduto RD, Ferris FL III. Increased prevalence of myopia in the United States between 1971-1972 and 1999-2004. Arch Ophthalmol 2009;127:1632–1639.
20. Lin LL, Shih YF, Hsiao CK, Chen CJ. Prevalence of myopia in Taiwanese schoolchildren: 1983 to 2000. Ann Acad Med Singapore 2004;33:27–33.
21. Dong L, Kang YK, Li Y, Wei WB, Jonas JB. Prevalence and time trends of myopia in children and adolescents in china: a systemic review and meta-analysis. Retina. 2020 Mar 1;40(3):399-411.
22. Fernández-Montero A, Olmo-Jimenez JM, Olmo N, Bes-Rastrollo M, Moreno-Galarraga L, Moreno-Montañés J, et al. The impact of computer use in myopia progression: a cohort study in Spain. Preventive medicine, 2015 71, 67-71.
23. Muhamedagic L, Muhamedagic B, Halilovic EA, Halimic JA, Stankovic A, et al. Relation between near work and myopia progression in student population. Materia socio-medica, 2014 26(2), 100-3.
24. Niroula DR, Saha CG. Study on the refractive errors of school going children of Pokhara city in Nepal. Kathmandu Univ Med J (KUMJ) 2009;7:67–72.
25. Lingham G, Mackey DA, Lucas R, et al. How does spending time outdoors protect against myopia? A review. British Journal of Ophthalmology, 2020 104(5), 593-599.
26. Williams KM, Bertelsen G, Cumberland P, Wolfram C, Verhoeven VJ , Anastasopoulos E et al. Increasing Prevalence of Myopia in Europe and the Impact of Education. Ophthalmology. 2015 Jul;122(7):1489-97.
27. Huang HM, Chang DS, Wu PC. The Association between Near Work Activities and Myopia in Children-A Systematic Review and Meta-Analysis. PLoS One. 2015 Oct 20;10(10):e0140419.
28. Kinge B, Midelfart A, Jacobsen G, Rystad J. The infuluence of near-work on development of myopia among university students. A three-year longitudinal study among engineering students in Norway. Acta Ophthalmol Scand.2000 Feb;78(1):26-9
29. Lin Z, Vasudevan B, Jhanji V, Mao GY, Gao TY, Wang FH et al. Optom Vis Sci. Near work, outdoor activity, and their association with refractive error. 2014 Apr;91(4):376-82.
30. Motlagh M, Geetha R. Physiology, Accommodation. (2020) StatPearls [Internet].