Volume 7, Issue 3 (Summer 2018)                   Arch Hyg Sci 2018, 7(3): 225-231 | Back to browse issues page


XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Darsanj A, Yarmohammadi H, Poursadeghiyan M, Dalvand S, Javadzad H, Salehi R et al . Investigating the Visual Fatigue in VDT Operators in the Banks of Qasr-e Shirin (Kermanshah-Iran) . Arch Hyg Sci 2018; 7 (3) :225-231
URL: http://jhygiene.muq.ac.ir/article-1-287-en.html
1- Student Research Committee, Kermanshah University of Medical Sciences,Kermanshah, Iran
2- Research Center for Environmental Determinants of Health (RCEDH), School of Public Health, Kermanshah University of Medical Sciences
3- Health in Emergency and Disaster Research center, University of Social Welfare and Rehabilitation Sciences
4- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences
5- Department of science, Farhangian university of Uremia
6- Department of Public Health, School of Health, Ilam University of Medical Sciences
Abstract:   (4021 Views)
Background & Aims of the Study: Due to the increasing use of computers in the administrative and social structure of Iran, it seems that, in the near future, eye and body symptoms caused by computer work will become one of the most important health issues in our society, and threaten the health of the workforce and consequently, lead to significant financial and industrial losses. The aim of this study was to determine the level of visual fatigue in VDT operators in the banks of Qasr-e shirin city.
Method: This study was carried out using a descriptive-analytical method in the form of census on 58 VDT operators of Qasar-e shirin banks in Kermanshah province. A two-part questionnaire including demographic information and visual fatigue was used to measure visual fatigue. Data were analyzed by SPSS software version 16 and descriptive statistics (frequency, percentage, central indices and dispersion) as well as independent t-test, Mann-Whitney, ANOVA and Pearson correlation tests.
Results: The results showed that the mean and standard deviation of visual fatigue was 48.76 ±28.18. 8.6% of subjects didn't have visual fatigue, 24.1% had low, 24.1% had moderate and 43.1% had severe visual fatigue. Also, the highest mean visual fatigue in patients with glasses was 3.49 ± 1.93 and the lowest mean, 3.35 ± 2.43, was related to single individuals. There was a positive and significant relationship between working hours with visual strain and visual fatigue subscale, and between the number working hours with visual strain and visual fatigue subscale.
Conclusion: In this study, the prevalence of visual fatigue was in high level. Therefore, it is recommended to avoid visual fatigue by using corrective and preventive measures such as reducing the working time with VDTs and using standard computers.
 
Full-Text [PDF 424 kb]   (823 Downloads) |   |   Full-Text (HTML)  (1284 Views)  
Type of Study: Original Article | Subject: Occuptional Health
Received: 2018/02/26 | Accepted: 2018/09/18 | Published: 2018/10/7

References
1. 1. Blehm C, Vishnu S, Khattak A, Mitra S, RW Y. Computer Vision Syndrome. Surv Ophthalmol 2005;50:253-62. [DOI:10.1016/j.survophthal.2005.02.008]
2. Ghasemi-Falavarjani K, Hashemi M, Modarreszadeh M, Parvaresh MM, Hasani A, Sanjari S, et al. Study of the Knowledge and Practice of Computer Users about Computer Related Eye Problems. Journal of Ophthalmology Bina. 2009;15:121-43.
3. Dehghani A, Tavakoli M, Akhlaghi M, Sari-Mohammadli M, Masjedi M, Riahi M. Ocular Symptoms and Signs in Professional Video-Display Users. bina. 2007;12(3) :331-6.
4. JR A. Visual ergonomics in the workplace. AAOHN J. 2007;55(10) :414-20. [DOI:10.1177/216507990705501004]
5. Rajeev A, Gupta A, Sharma M. Visual fatigue and computer use among college students. Indian J Comm Med. 2006;31(3) :192-3.
6. Blehm C, Vishnu S, Khattak A, Mitra S, Yee RW. Computer vision syndrome: a review Surv Ophthalmol. 2005;50(3) :253-62. [DOI:10.1016/j.survophthal.2005.02.008]
7. Ukai K, Howarth PA. Visual fatigue caused by viewing stereoscopic motion images: Background, theories, and observations. Displays 2011;29(2) :106-16. [DOI:10.1016/j.displa.2007.09.004]
8. Wiholm C, Richter H, Mathiassen SE, Toomingas A. Associations between eyestrain and neck-shoulder symptoms among call-center operators. SJWEH Suppl. 2007;33(3) :54-9.
9. Manaviat MD, Habibian S, Gharavi M, Fallah-Zadeh H. Complaints of eye and related factors in users' computers. J Med. 2011;3(1) :90.
10. Kang YY, Wang MJJ, Lin R. Usability evaluation of e-books Displays. 2009;30(2) :49-52. [DOI:10.1016/j.displa.2008.12.002]
11. NA. S. Evaluate possible solutions to reduce accidents caused by driver fatigue. J Med Mashhad. 2011;4:12-7.
12. Ukai K, Howarth PA. Visual fatigue caused by viewing stereoscopic motion images: Background, theories, and observations. Displays. 2008;29(2) :106-16. [DOI:10.1016/j.displa.2007.09.004]
13. Habibi E, Pourabdian S, Rajabi H, Dehghan H, Maracy MR. Development and Validation of a Visual Fatigue Questionnaire for Video Display Terminal Use. HSR.(2011) ;7(4): 492-503.
14. Zakeriyan S, Abbassinia M, Soltani gerdefaramarzi R, Asghari M. Assessment visual discomfort among office staff of Tehran university of Medical Sciences who working with computers continuously at works. tkj. 2014; 5 (4) :12-17.
15. Ziaei M, Yarmohammadi H, Moradi M, Gharagozlou F. Prevalence and risk factors of visual fatigue in computer users. Journal of Ergonomics. 2014;1(3) :47-54.
16. Conlon E, Humphreys L. Visual search in migraine and visual discomfort groups. Vision Research, 2001; 41: 3063-8. [DOI:10.1016/S0042-6989(01)00204-8]
17. Borsting E, Chase CH, Ridder WH 3rd. Measuring Visual Discomfort in College Students, Optometry and Vision Science, 2007; 84(8): 745-51. [DOI:10.1097/OPX.0b013e31812f5f51]
18. Eichenbaum JW. Computers and eyestrain. J Ophthalmic Nurs Technol 1996;15:23-26.
19. Futyma E, Prost ME. Evaluation of the visual function in employees working with computers. Klin Oczna 2002;104:257- 259.
20. Wiholm C, Richter H, Mathiassen SE, Toomingas A. Associations between eyestrain and neck-shoulder symptoms among call-center operators. Scand J Work Environ Health Suppl 2007;33:54-9.
21. Afra A, Abedi H, Taheri N. Ocular Symptoms of Computer Users in an Administrative Workplace. Iran Journal of Nursing. 2013;26(82) :42-50.
22. Oregon Occupational Safety & Health Division (OR-OSHA). Health & safety guidelines for Video Display Terminals in the workplace. 2002.
23. Charpe NA, Kaushik V. Computer Vision Syndrome (CVS): Recognition and Control in Software Professionals. J Hum Ecol. 2009;28:67-69. [DOI:10.1080/09709274.2009.11906219]
24. Samavati M. [Frequency of Computer vision syndrome and some other related factors personal computer users in Hamedan]. Journal of Ilam University of Medical Sciences.2005; 13(1): 23-28.
25. Stanhope M, Lancaster J. Community Health Nursing 3, Translated by Hoseini V, Jafarivrjoshani N. Tehran, Iran. salemi. 2010

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2025 CC BY-NC 4.0 | Archives of Hygiene Sciences

Designed & Developed by : Yektaweb