PREVALENCE OF COMPUTER VISION SYNDROME AMONG BANK EMPLOYEES

Authors

  • Hamza Munir Department of Community Medicine, Mohammad College of Medicine, Peshawar, Pakistan
  • Aman Ullah Department of Physiology, Saidu Medical College, Swat, Pakistan
  • Natasha Junaid Department of Community Medicine, Khyber Medical College, Peshawar, Pakistan
  • Muhammad Imtiaz Afridi Department of Community Medicine, Muhammad College of Medicine, Peshawar, Pakistan
  • Kashif Ali Department of Paediatrics, Qazi Hussain Ahmed Medical Complex, Nowshera, Pakistan
  • Shakir Ullah Khan Department of Community Medicine, Muhammad College of Medicine, Peshawar, Pakistan

DOI:

https://doi.org/10.69656/pjp.v20i4.1698

Keywords:

Computer Vision Syndrome, Vision, Screen Time, Visual Acuity, Eye, Computer, Bank Employee, Peshawar

Abstract

Background: the importance of computer can’t be ignored, but when it comes to banking business it becomes the norm and core component of the system. Long terms exposure to computer screen is also unhealthy for the eye. This study was aimed to determine the prevalence of computer vision syndrome (CVS) and its associated factors in bank employees of Peshawar City. Methods: This descriptive analytical study was conducted in different areas of Peshawar city. The study population was the bank employees working on commuter. Using multistage approach 289 participants were recruited for this study. The data collection tool was a comprehensive adapted questionnaire and data were analyses on SPSS-24. Comparison was made for assessing the association between time exposure and occurrence of CVS. Chi-square test was applied to see any significant association between the assessed parameters. Results: Result were based on a sample of 289 bank workers (Mean age 32.72±7.02 years) out of whom 266 (92.0%) were male and 23 (8.0%) were female. The apparent diagnosed eye diseases were found in 24.2% of employees while CVS was found in 77.2%. However, most of them had simple adverse symptoms associated with eye health which may probably be due to over exposure to computer screen. These symptoms included eye strain, pain, headache (68.9%), blurriness (67.5%), dryness (49.1%), blinking (46.7%), redness and irritations (44.3%). Conclusion: The prevalence of diagnosed eye diseases was high while CVS was positive in 77.2% for at least one symptom.

Pak J Physiol 2024;20(4):60-4, DOI: https://doi.org/10.69656/pjp.v20i4.1698

Downloads

Download data is not yet available.

References

Blehm C, Vishnu S, Khattak A, Mitra S, Yee RW. Computer vision syndrome: a review. Surv Ophthalmol 2005;50(3):253–62.

Tumin SA. How common is working from home. Retrieved from KRI Discussion paper. 2020. Available from: https://krinstitute.org/ assets/contentMS/img/template/editor/DP_WFHv5-updated.pdf. [Accessed 15 Jan 2024]

Patil A, Bhavya, Chaudhury S, Srivastava S. Eyeing computer vision syndrome: Awareness, knowledge, and its impact on sleep quality among medical students. Ind Psychiatry J 2019;28(1):68–74.

Li R, Ying B, Qian Y, Chen D, Li X, Zhu H, et al. Prevalence of self-reported symptoms of Computer Vision Syndrome and associated risk factors among school students in China during the COVID-19 pandemic. Ophthalmic Epidemiol 2021;29(4):363–73.

Sawesi S, Rashrash M, Phalakornkule K, Carpenter JS, Jones JF. The impact of information technology on patient engagement and health behavior change: a systematic review of the literature. JMIR Med Inform 2016;4(1):e1.

Rosenfield M. Computer vision syndrome: a review of ocular causes and potential treatments. Ophthalmic Physiol Opt 2011;31(5):502–15.

Chawla A, Lim TC, Shikhare SN, Munk PL, Peh WCG. Computer vision syndrome: Darkness under the shadow of light. Can Assoc Radiol J 2019;70(1):5–9.

Randolph SA. Computer vision syndrome. Workplace Health Saf 2017;65(7):328.

Izquierdo JC, Garcia M, Buxo C, Izquierdo NJ. Factors leading to the computer vision syndrome: an issue at the contemporary workplace. Bol Asoc Med P R 2007;99(1):21–8.

Patel H, Jain R, Kamath MA, Bappal A. A study on correlation of computer vision syndrome and dry eye disease and knowledge regarding its associated factors amongst health professionals. Indian J Ophthalmol 2023;71(4):1441–5.

Al Tawil L, Aldokhayel S, Zeitouni L, Qadoumi T, Hussein S, Ahamed SS. Prevalence of self-reported computer vision syndrome symptoms and its associated factors among university students. Eur J Ophthalmol 2020;30(1):189–95.

Klamm J, Tarnow KG. Computer vision syndrome: a review of literature. Medsurg Nurs 2015;24(2):89–93.

Bhutada RS. The effect of eye exercise, triphala kwath eyewash, and instillation of distilled water on computer vision syndrome. J Datta Meghe Inst Med Sci Univ 2019;14(Suppl 2):S78–82.

Bogdanici CM, Sandulache DE, Nechita CA. Eyesight quality and computer vision syndrome. Rom J Ophthalmol 2017;61(2):112–6.

Zakharova MA, Oganezova JG. Modern approaches to the therapy of computer visual syndrome. RMJ Clin Ophthalmol 2018;1:50–3.

Sheppard, A.L. and J.S. Wolffsohn, Digital eye strain: prevalence, measurement and amelioration. BMJ Open Ophthalmol 2018;3(1):p. e000146.

Huang L, Yang GY, Schmid KL, Chen JY, Li CG, He GH, et al. Screen exposure during early life and the increased risk of astigmatism among preschool children: findings from Longhua child cohort study. Int J Environ Res Public Health 2020;17(7):2216.

Shantakumari N, Eldeeb R, Sreedharan J, Gopal K. Computer use and vision-related problems among university students in Ajman, United Arab Emirate. Ann Med Health Sci Res 2014;4(2):258–63.

Nwankwo B, Mumueh KP, Olorukooba AA, Usman NO. Computer vision syndrome: prevalence and associated risk factors among undergraduates in a tertiary institution in north western Nigeria. Kanem J Med Sci 2021;15(1):19–26.

Ellahi A, Khalil MS, Akram F. Computer users at risk: Health disorders associated with prolonged computer use. J Bus Manag Econ 2011;2(4):171–82.

Tsauo JY, Jang Y, Du CL, Liang HW. Incidence and risk factors of neck discomfort: a 6-month sedentary-worker cohort study. J Occup Rrehabil 2007;17(2):171–9.

Kozeis N. Impact of computer use on children’s vision. Hippokratia 2009;13(4):230–1.

Walraven J. Prolonged complementary chromatopsia in users of video display terminals. Am J Ophthalmol 1985;100(2):350–2.

Binyousef FH, Alruwaili SA, Altammami AF, Alharbi AA, Alrakaf FA, Almazrou AA. Impact of dry eye disease on work productivity among Saudi workers in Saudi Arabia. Clin Ophthalmol 2021;15:2675–81

Uba-Obiano CU, Onyiaorah AA, Nwosu SNN, Okpala NE. Self-reported Computer Vision Syndrome among bank workers in Onitsha, Nigeria. J West Afr Coll Surg 2022;12(3):71–8.

Assefa NL, Weldemichael DZ, Alemu HW, Anbesse DH. Prevalence and associated factors of computer vision syndrome among bank workers in Gondar City, northwest Ethiopia, 2015. Clin Optom 2017;9:67–76.

Downloads

Published

31-12-2024

How to Cite

1.
Munir H, Ullah A, Junaid N, Afridi MI, Ali K, Khan SU. PREVALENCE OF COMPUTER VISION SYNDROME AMONG BANK EMPLOYEES. Pak J Phsyiol [Internet]. 2024 Dec. 31 [cited 2025 Feb. 5];20(4):60-4. Available from: https://pjp.pps.org.pk/index.php/PJP/article/view/1698

Issue

Vol. 20 No. 4 (2024): Pakistan Journal of Physiology

Section

Original Article

License

Copyright (c) 2024 Hamza Munir, Aman Ullah, Natasha Junaid, Muhammad Imtiaz Afridi, Kashif Ali, Shakir Ullah Khan

Creative Commons License

This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.

The author(s) retain the Copyrights and allow their publication in Pakistan Journal of Physiology, Pak J Physiol, PJP to be FREE for research and academic purposes. It can be downloaded and stored, printed, presented, projected, cited and quoted with full reference of, and acknowledgement to the author(s) and the PJP. The contents are published with an international CC-BY-ND-4.0 License.