VISIONARY LEARNERS, VULNERABLE EYES: A CROSS-SECTIONAL STUDY OF COMPUTER VISION SYNDROME IN UNDERGRADUATE MEDICAL STUDENTS OF PUNJAB, PAKISTAN

Main Article Content

Noor ul Huda
Menahal
Taha Ashfaq
Sidra Parveen
Yousaf Mahmood
Dr Asma Shaheen

Keywords

Computer vision syndrome, Digital eye strain, medical students, visual/eye health

Abstract

Background: In this age of digitalization, no field or person can deny the usage of digital devices. These devices are no doubt making the office work and socializing easy, but they are doing this somewhat at the cost of our visual health.


Aim: The aim of this study is to check the prevalence of computer vision syndrome in medical students and its associated factors.


Methodology: A cross-sectional questionnaire-based study was conducted at Sahiwal medical college during the month of June,2024. After taking ethical approval from institutional ethical review board and having informed consent of the study participants, a validated questionnaire was shared with them through WhatsApp as google forms. Data was collected and analysis was done using IMB SPSS software version 26.


Results: As per our calculated sample size, 371 students participated in our study, out of them 208(56.1%) were females and 163(43.9%) were males. Overall, 266(71.7%) students were suffering from computer vision syndrome. Females have a comparatively higher prevalence 161(43%) of CVS than males (p value=0.006). most of the students 197(53.1%) were using digital devices at the day time/mid-day. The occurrence of musculoskeletal pains due to digital device use was comparatively more in females than male students (p-value=0.041). There is a significant correlation between occurrence of CVS and adjustment of lighting at workspace while using digital devices (p-value=0.014). Musculoskeletal pains were also associated with computer vision syndrome (p-value=0.001).


Conclusion: Majority of students are suffering from computer vision syndrome, with females having high number. Steps should be taken to minimize digital device usage by medical students in order to prevent their visual health.

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References

1. Sheppard AL, Wolffsohn JS. Digital eye strain: prevalence, measurement and amelioration. BMJ open ophthalmology. 2018 Apr 1;3(1):e000146.
2. Singh H, Tigga MJ, Laad S, Khan N. Prevention of ocular morbidity among medical students by prevalence assessment of asthenopia and its risk factors. Journal of Evidence Based Medicine and Healthcare. 2016 Feb;3(15):532-6.
3. Sánchez‐Brau M, Domenech‐Amigot B, Brocal‐Fernández F, Seguí‐Crespo M. Computer vision syndrome in presbyopic digital device workers and progressive lens design. Ophthalmic and Physiological Optics. 2021 Jul;41(4):922-31.
4. 4-Anbesu EW, Lema AK. Prevalence of computer vision syndrome: a systematic review and meta-analysis. Scientific Reports. 2023 Jan 31;13(1):1801.
5. 5-Akiki M, Obeid S, Salameh P, Malaeb D, Akel M, Hallit R, Hallit S. Association between computer vision syndrome, insomnia, and migraine among Lebanese adults: the mediating effect of stress. The Primary Care Companion for CNS Disorders. 2022 Aug 11;24(4):42261.
6. 6--Alamri A, Amer KA, Aldosari AA, Althubait BM, Alqahtani MS, Mudawi AA, Mudawi BA, Alqahtani FA, Alhamoud NS. Computer vision syndrome: Symptoms, risk factors, and practices. Journal of family medicine and primary care. 2022 Sep 1;11(9):5110-5.
7. 7-Noreen K, Ali K, Aftab K, Umar M. Computer vision syndrome (CVS) and its associated risk factors among undergraduate medical students in midst of COVID-19. Pakistan Journal of Ophthalmology. 2021;37(1).
8. 8-Wang C, Joltikov KA, Kravets S, Edward DP. Computer vision syndrome in undergraduate and medical students during the COVID-19 pandemic. Clinical Ophthalmology. 2023 Dec 31:1087-96.
9. 9-Ibrahim NK, Al Raddadi R, AlDarmasi M, Al Ghamdi A, Gaddoury M, AlBar HM, Ramadan IK. Medical students’ acceptance and perceptions of e-learning during the Covid-19 closure time in King Abdulaziz University, Jeddah. Journal of infection and public health. 2021 Jan 1;14(1):17-23.
10. 10-Dessie A, Adane F, Nega A, Wami SD, Chercos DH. Computer vision syndrome and associated factors among computer users in Debre Tabor Town, Northwest Ethiopia. Journal of environmental and public health. 2018;2018(1):4107590.
11. 11.Turkistani, Alaa N.; Al-Romaih, Arwa; Alrayes, Majd M.; Al Ojan, Abdulrazaq; Al-Issawi, Wisam. Computer vision syndrome among Saudi population: An evaluation of prevalence and risk factors. Journal of Family Medicine and Primary Care 10(6):p 2313-2318, June 2021. | DOI: 10.4103/jfmpc.jfmpc_2466_20
12. 12. Ranasinghe P, Wathurapatha WS, Perera YS, Lamabadusuriya DA, Kulatunga S, Jayawardana N, Katulanda P. Computer vision syndrome among computer office workers in a developing country: an evaluation of prevalence and risk factors. BMC research notes. 2016 Dec;9:1-9.
13. 13.Zenbaba D, Sahiledengle B, Bonsa M, Tekalegn Y, Azanaw J, Kumar Chattu V. Prevalence of Computer Vision Syndrome and Associated Factors among Instructors in Ethiopian Universities: A Web‐Based Cross‐Sectional Study. The Scientific World Journal. 2021;2021(1):3384332.
14. 14. Mackare K, Jansone A. Habits of Using internet and digital devices in education. InSOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference 2018 May 25 (Vol. 5, pp. 348-356).
15. 15 Abdulrahman M, Amoush AH. Female characteristics and their new roles in leadership. Journal of Business and Management Sciences. 2020;8(2):38-47.
16. 16. Abudawood GA, Ashi HM, Almarzouki NK. Computer vision syndrome among undergraduate medical students in King Abdulaziz University, Jeddah, Saudi Arabia. Journal of Ophthalmology. 2020;2020(1):2789376.
17. 17.Van der Walt S, Mabaso WS, Davids EL, De Vries PJ. The burden of depression and anxiety among medical students in South Africa: A cross-sectional survey at the University of Cape Town. South African Medical Journal. 2020 Jan 1;110(1):69-79.
18. 18. Wu YH, Lewis M, Rigaud AS. Cognitive function and digital device use in older adults attending a memory clinic. Gerontology and Geriatric Medicine. 2019 Apr;5:2333721419844886.
19. 19. Asgari S, Trajkovic J, Rahmani M, Zhang W, Lo RC, Sciortino A. An observational study of engineering online education during the COVID-19 pandemic. Plos one. 2021 Apr 15;16(4):e0250041.
20. 20 Huang YM. The factors that predispose students to continuously use cloud services: Social and technological perspectives. Computers & Education. 2016 Jun 1;97:86-96.
21. 21. Hong FY, Chiu SI, Huang DH. A model of the relationship between psychological characteristics, mobile phone addiction and use of mobile phones by Taiwanese university female students. Computers in human behavior. 2012 Nov 1;28(6):2152-9.
22. 22.Lee R, James C, Edwards S, Snodgrass SJ. Posture during the use of electronic devices in people with chronic neck pain: A 3D motion analysis project. Work. 2021 Jan 1;68(2):491-505.
23. 23. McCoy BR. Gen Z and digital distractions in the classroom: Student classroom use of digital devices for non-class related purposes.
24. 24. Reddy SC, Low CK, Lim YP, Low LL, Mardina F, Nursaleha MP. Computer vision syndrome: a study of knowledge and practices in university students. Nepalese journal of Ophthalmology. 2013 Sep 23;5(2):161-8.
25. 25. Logaraj M, Madhupriya V, Hegde SK. Computer vision syndrome and associated factors among medical and engineering students in Chennai. Annals of medical and health sciences research. 2014;4(2):179-85.
26. 26. Loh KY, Redd SC. Understanding and preventing computer vision syndrome. Malaysian family physician: the official journal of the Academy of Family Physicians of Malaysia. 2008;3(3):128.
27. 27. Reddy SC, Low CK, Lim YP, Low LL, Mardina F, Nursaleha MP. Computer vision syndrome: a study of knowledge and practices in university students. Nepalese journal of Ophthalmology. 2013 Sep 23;5(2):161-8.
28. 28. Parrey MU, Alshammari AO, Bedaiwi AA, Salama B. Digital eye strain: knowledge, attitude and practice among university students. Archives of Pharmacy Practice. 2023;14(3-2023):33-7.

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