Spectrum of Dry Eye Disease in Computer Users of Manipur India
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32797
Spectrum of Dry Eye Disease in Computer Users of Manipur India

Authors: Somorjeet Sharma Shamurailatpam, Rabindra Das, A. Suchitra Devi

Abstract:

Computer and video display users might complain about Asthenopia, burning, dry eyes etc. The management of dry eyes is often not in the lines of severity. Following systematic evaluation and grading, dry eye disease is one condition that can be practiced at all levels of ophthalmic care. In the present study, different spectrum causing dry eye and prevalence of dry eye disease in computer users of Manipur, India are determined with 600 individuals (300 cases and 300 control). Individuals between 15 and 50 years who used computers for more than 3 hrs a day for 1 year or more were included. Tear break up time (TBUT) and Schirmer’s test were conducted. It shows that 33 (20.4%) out of 164 males and 47 (30.3%) out of 136 females have dry eye. Possible explanation for the observed result is discussed.

Keywords: Asthenopia, computer vision syndrome, dry eyes, Schirmer’s test, tear breakup time.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1132068

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1021

References:


[1] Chaudhury Z, Vanathi M. Post graduate Ophthalmology. Jaypee medical publishers, 2012.
[2] Samar Kumar Basak. Dry Eye Disease. All India Ophthalmological Society. 2013.
[3] Kallarackal GU, Ansari EA, Amos N, et al. A comparative study to assess the clinical use of fluorescein meniscus time (FMT) with tear break up time (TBUT) and Schirmer’s tests (ST) in the diagnosis of dry eyes. Eye 2002; 16:594-600.
[4] Craig JP, Singh I, Tomlinson A et al. The role of tear physiology in ocular surface temperature. Eye 2000; 14 (Pt 4): 635-41.
[5] Uchino M, Debra A, Schiumberg M, Dogru Y, Uchino K, Takebayashi K, Tsubota. Prevalence of dry eye disease among Japanese visual display terminal users. American Academy of Ophthalmology. 2008; 115:1982-88.
[6] Kanski JJ, “Clinical Ophthalmology” Elsevier Butterworth-Heinemann, 2007.
[7] Wimalasundera S. Computer vision syndrome. Galle Medical Journal, 2006; 11(1):25-29.
[8] Blehm C, Vishnu S, Khattak A, Mitra S, Yee R. Computer vision syndrome. A review on survey of Ophthalmology. 2005; 50(3): 253-262.
[9] Yanoff M. Ophthalmic diagnosis and treatment, Jaypee publication, 2014.
[10] Barar A, Apatachioaie ID, Apatachioaie C, Marceanu-Brasov L Oftalmologia. 2007; 51(3):104-9. (Ophthalmologist and "computer vision syndrome"). (Article in Romanian). PMID:18064965.
[11] Khurana AK, Comprehensive Ophthalmology. New Age International, 2007.
[12] Xu L, You QS, Wang YX, Jonas JB. Association between gender, ocular parameters and diseases: The Beijing eye study. 2010.
[13] Jayant Kadaskar, Md. Shahid Alam, Bipasha Mukharjee. Online Textbook of Ophthalmology. www.eophtha.com/eophtha/OTO/Oculoplasty/Lacrimal.html
[14] KN Jha. Tear Break-up Time in High Altitude Areas. Medical Journal Armed forces India. 2009: 65: 2-3.
[15] Schaumberg DA, Sullivan DA, Buring JE, Dana MR, “Prevalence of dry eye syndrome among US women” in American journal of ophthalmology, vol.136, 2003, 318-321.
[16] Gayton J. Etiology, prevalence and treatment of dry eye disease” in Clinical ophthalmology, vol. 3, 2009, 405-12.
[17] Hayes JR, Sheedy JE, Stelmack JA and Heaney CA. Computer use, symptoms and quality of life. Optometry and Vision Sciences; 2007; 84(8):739-45.
[18] Akinbinu TR, Mashalla YJ. Knowledge of computer vision syndrome among computer users in the workplace of Abuja. Nigeria academic Journals 2013; 4(4):58-63.