Prevalence and Associated Factors of Computer Vision Syndromes in Healthcare Personnel in Nopparat Rajathanee Hospital
Keywords:
Computer Vision syndrome(CVS), Video display terminal, Healthcare personnelAbstract
Computers have become integral to contemporary organizational operations. Their utilization has significantly enhanced operational efficiency, accessibility, and precision. However, prolonged computer use, a recognized occupational hazard, can adversely impact health. Excessive screen exposure is a primary contributor to Computer Vision Syndrome (CVS), a prevalent ocular condition. This cross-sectional study was conducted to determine the prevalence of Computer Vision Syndrome (CVS) and to examine associated risk factors. A sample of 237 participants completed the Thai version of the CVS-Q questionnaire. Multivariate logistic regression analysis was employed to assess the relationship between variables and the presence of CVS. The overall prevalence of CVS was 53%, with eye pain being the most frequently reported symptom (88.89%) and floaters (22.22%) the least common. Female gender, pre-existing medical conditions, refractive errors, and artificial tear usage were identified as significant predictors of CVS. Notably, physicians exhibited a lower prevalence of the condition.
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References
National Statistical Office of Thailand. The survey on the use of information and communication technology in establishments. National Statistical Office of Thailand. 2018; 243(4): 12-4. (in Thai)
Malinka M, Bugajska J, & Bartuzi P. Occupational and non-occupational risk factors for neck and lower back pain among computer workers: A cross-sectional study. International Journal of Occupational Safety and Ergonomics. 2021;27(4):1108-15.
Clayton B, Seema V, Ashbala K, Sharabanee M, & Richard W. Computer vision syndrome: A review. Survey of Ophthalmology. 2005; 50(3):253-62. (in Thai)
Iwakiri K, Mori I, Sotoyama M, Horiguchi K, & Ochiai T. Survey on visual and musculoskeletal syndrome in VDT workers. Sangyo Eiseigaku Zasshi. 2004;46(6):201-12.
Tubtimhin S, & Puthaburi N. Prevalence and severity of computer vision syndrome of supporting staff in Ubon Ratchathani University. Srinagarind Medical Journal. 2019;34(2):173-7. (in Thai)
Sirikool T, & Khampitak K. Prevalence of computer vision syndrome in computer users. Thammasat Journal. 2006;1(1):21-7. (in Thai)
Gangamma M.P., Poonam & Raiagopala M. et al. Computer vision syndrome and its management: A clinical study. An International Quarterly Journal of Research in Ayurveda. 2010;31(2): 236-49.
Photihug P. Risk Factors of Computer Vision Syndromes Among Teaching Personals in Burapha University, Journal of Nursing and Education. 2016;9(2):104-19. (in Thai)
Bali J, Navin N & Thakur BR. Computer vision syndrome: A Review. Journal of Clinical Ophthalmology and Research. 2014;2(1): 61-8.
Wangsan K, Upapong P, Assavanopakun P, et al. Self-reported computer vision syndrome among Thai university students in virtual classrooms during the COVID-19 pandemic: prevalence and associated factors. International journal of environmental research and public health. 2022;19(7): 39-52. (in Thai)
Rungsirisangratana C, Pinsuwannabud P, & Hirunphasert C. Computer Vision Syndrome among Office Workers in Three Factories in Phrapradaeng District, Samutprakarn Province. Journal of Medical Association Thailand. 2020;10(1):21-35. (in Thai)
Courtin R, Pereira B, Naughton G, Chamoux A, et al. Prevalence of dry eye disease in visual display terminal workers. British Medical Journal. 2016;6(1): 214-26.
Bahkir F. A, & Grandee S S. Impact of the COVID-19 lockdown on digital device-related ocular health. Indian Journal of Ophthalmology. 2020 ;68(11): 2378-83.
Matossian C, McDonald M, Donaldson K.E, et al. Dry Eye Disease: Consideration for Women’s Health. Journal of Women’s Health. 2019; 28(5): 502–14.
Mahmoud B. A, Lambg B, Galadima C. F, et al. A Comparative Study of Dry Eye Disease in Diabetics and Non-Diabetic Population at National Eye Centre, Kaduna. Saudi journal of medicine, 2023;12(6):68-80.
Rosenfield M. Computer Vision Syndrome: A Review of Ocular Causes and Potential Treatments. The journal of the British College of Ophthalmic Opticians. 2011 ;31(5):502–15.
Grasso A, Di Zazzo A, Giannaccare G, et al. Sex Hormones Related Ocular Dryness in Breast Cancer Women.Journal of Clinical Medicine. 2022; 10(12):106-21.
Ruennusan M. The Effect of Working Hours with Video Display Terminals on Transient Myopia and Eye Strain.(thesis). Bangkok: Mahidol University; 2015. (in Thai)
Walter H. Effect of artificial tears on dynamic optical quality in patients with dry eye disease. Biomed Central Ophthalmology. 2022;22(1):189-203.
Fagsaard T, & Supapong S. Computer Vision Syndrome: The Silent Threat to Working Individuals in the Digital Era Post-COVID-19 Pandemic. Journal of The Royal Thai Army Nurses. 2024 ;25(3):47-54.
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