Prevalence Of Computer Vision Syndrome and Its Associated Risk Factors Among Computer Science Students at The University of Sargodha, Pakistan: A Cross-Sectional Study

Computer Vision Syndrome in Students

Authors

  • Mehwish Atta Sargodha Institute of Health Sciences, Pakistan
  • Maryam Saeed Sargodha Institute of Health Sciences, Pakistan
  • Maryam Murtaza Sargodha Institute of Health Sciences, Pakistan
  • Syeda Fatima Zaheer Rizvi University of Management & Technology, Pakistan
  • Ayesha Amjad Sargodha Institute of Health Sciences, Pakistan

Keywords:

Computers, Eyestrain, Ocular, Vision

Abstract

Background: Computer Vision Syndrome (CVS) or Digital Eye Strain is a widely-known ailment that is the result of excessive use of digital displays and causes ocular and musculoskeletal discomfort. Technology based programs, especially to university students are highly vulnerable. The purpose of the study was to identify the prevalence and the risk factors of CVS among computer science students in the University of Sargodha.

Methods: The study was descriptive and cross-sectional with a study period of four months among 177 students who were selected using the convenience sampling technique. The self-administered questionnaire was a structured questionnaire that was self-administered and it included questions that evaluated the following: demographics, screen usage patterns, ergonomic practices and CVS symptoms. The severity of symptoms was measured as mild, moderate or severe symptoms.

Results: The prevalence of CVS was 71.2% (n = 126). The mean age was 21.51 ± 1.92 years, with 57.6% males. The most prevalent symptoms were dry eyes (35.6%), headache (31.6%), and neck and shoulder pain (25.4%), with severe symptoms being most frequently reported on neck and shoulder pain (22.0%). Almost half of the participants (49.7) were using a 20-20-20 rule (66.7). Significant relationships were found between daily screen time and CVS severity (χ2 = 325.843, 15, 0.001).

Conclusion: CVS is very common among the students. Such modifiable factors like long screen time, poor ergonomics and low awareness play a significant role. Educating on eye health, ergonomics training and regular screening should be incorporated.

DOI: https://doi.org/10.59564/amrj/04.02/003

Author Biographies

Mehwish Atta, Sargodha Institute of Health Sciences, Pakistan

Physical Therapist

 

Maryam Saeed, Sargodha Institute of Health Sciences, Pakistan

Physical Therapist

Maryam Murtaza, Sargodha Institute of Health Sciences, Pakistan

Physical Therapist

Syeda Fatima Zaheer Rizvi, University of Management & Technology, Pakistan

Physical Therapist

Ayesha Amjad, Sargodha Institute of Health Sciences, Pakistan

Lecturer

References

Ranganatha SC, Jailkhani S. Prevalence and associated risk factors of computer vision syndrome among the computer science students of an engineering college of Bengaluru: a cross-sectional study. Galore Int J Health Sci Res. 2019;4(3):10–15.

Almousa AN, Aldofyan MZ, Kokandi BA, Alsubki HE, Alqahtani RS, Gikandi P, et al. The impact of the COVID-19 pandemic on the prevalence of computer vision syndrome among medical students in Riyadh, Saudi Arabia. Int Ophthalmol. 2023;43(4):1275–1283. doi: https://10.1007/s10792-022-02525-w.

Wangsan K, Upaphong P, Assavanopakun P, Sapbamrer R, Sirikul W, Kitro A, et al. Self-reported computer vision syndrome among Thai university students in virtual classrooms during the COVID-19 pandemic: prevalence and associated factors. Int J Environ Res Public Health. 2022;19(7):3996. doi: https://10.3390/ijerph19073996.

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. J Environ Public Health. 2018;2018:4107590. doi: https://10.1155/2018/4107590.

Ccami-Bernal F, Soriano-Moreno DR, Romero-Robles MA, Barriga-Chambi F, Tuco KG, Castro-Diaz SD, et al. Prevalence of computer vision syndrome: a systematic review and meta-analysis. J Optom. 2024;17(1):100482. doi: https://10.1016/j.optom.2023.100482.

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):189–195. doi: https://10.1177/1120672118815110.

Abudawood GA, Ashi HM, Almarzouki NK. Computer vision syndrome among undergraduate medical students in King Abdulaziz University, Jeddah, Saudi Arabia. J Ophthalmol. 2020;2020:2789376. doi: https://10.1155/2020/2789376.

Singh S, Downie LE, Anderson AJ. Do blue-blocking lenses reduce eye strain from extended screen time? A double-masked randomized controlled trial. Am J Ophthalmol. 2021;226:243–251. doi: https://10.1016/j.ajo.2021.02.010.

Wolffsohn JS, Lingham G, Downie LE, Huntjens B, Inomata T, Jivraj S, et al. TFOS Lifestyle: impact of the digital environment on the ocular surface. Ocul Surf. 2023;28:213–252. doi: https://10.1016/j.jtos.2023.04.004.

Lema AK, Anbesu EW. Computer vision syndrome and its determinants: a systematic review and meta-analysis. SAGE Open Med. 2022;10:20503121221142402. doi: https://10.1177/20503121221142402.

Kaur K, Gurnani B, Nayak S, Deori N, Kaur S, Jethani J, et al. Digital eye strain — a comprehensive review. Ophthalmol Ther. 2022;11(5):1655–1680. doi: https://10.1007/s40123-022-00540-9

Garg S, Mallik D, Kumar A, Chunder R, Bhagoliwal A. Awareness and prevalence of computer vision syndrome among medical students: a cross-sectional study. Asian J Med Sci. 2021;12(9):44–48. doi: https://10.3126/ajms.v12i9.37247.

Emara AK, Ng MK, Cruickshank JA, Kampert MW, Piuzzi NS, Schaffer JL, et al. Gamer's health guide: optimizing performance, recognizing hazards, and promoting wellness in esports. Curr Sports Med Rep. 2020;19(12):537–545. doi: https://10.1249/JSR.0000000000000787.

Wang L, Wei X, Deng Y. Computer vision syndrome during SARS-CoV-2 outbreak in university students: a comparison between online courses and classroom lectures. Front Public Health. 2021;9:696036. doi: https://10.3389/fpubh.2021.696036.

Adane F, Alamneh YM, Desta M. Computer vision syndrome and predictors among computer users in Ethiopia: a systematic review and meta-analysis. Trop Med Health. 2022;50(1):26. doi: https://10.1186/s41182-022-00418-3.

Alabdulkader B. Effect of digital device use during COVID-19 on digital eye strain. Clin Exp Optom. 2021;104(6):698–704. doi: https://10.1080/08164622.2021.1878843.

Jaiswal S, Asper L, Long J, Lee A, Harrison K, Golebiowski B. Ocular and visual discomfort associated with smartphones, tablets and computers: what we do and do not know. Clin Exp Optom. 2019;102(5):463–477. doi: Https://10.1111/cxo.12851.

Reddy SC, Low CK, Lim YP, Low LL, Mardina F, Nursaleha MP. Computer vision syndrome: a study of knowledge and practices in university students. Nepal J Ophthalmol. 2013;5(2):161–168. doi: https://10.3126/nepjoph.v5i2.8707.

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 (Auckl). 2017;9:67–76. doi: https://10.2147/OPTO.S126366.

Artime-Ríos E, Suárez-Sánchez A, Sánchez-Lasheras F, Seguí-Crespo M. Computer vision syndrome in healthcare workers using video display terminals: an exploration of the risk factors. J Adv Nurs. 2022;78(7):2095–2110. doi: https://10.1111/jan.15140.

Das S, Das R, Bhattacharjee P. Computer vision syndrome and its risk factors among professional college students of Agartala: a cross-sectional study. Med Sci. 2016;5(6):27–29.

Mersha GA, Hussen MS, Belete GT, Tegene MT. Knowledge about computer vision syndrome among bank workers in Gondar City, Northwest Ethiopia. Occup Ther Int. 2020;2020:2561703. doi: https://10.1155/2020/2561703.

Iqbal M, El-Massry A, Elagouz M, Elzembely H. Computer vision syndrome survey among the medical students in Sohag University Hospital, Egypt. Ophthalmol Res Int J. 2018;8(1):1–8. doi: https://10.9734/OR/2018/38436

Thaker S, Sadineni HS, Bembey Y, Bembey Y, Bharadawaj V, Misquith S. Assessment of prevalence and awareness of digital eye strain amongst a university student population in India. Preprint. 2026 Jan 16. DOI: https://doi.org/10.21203/rs.3.rs-8319204/v1

Alatawi SK, Allinjawi K, Alzahrani K, Hussien NK, Bashir M, Ramadan EN. Self-Reported Student Awareness and Prevalence of Computer Vision Syndrome During COVID-19 Pandemic at Al-Baha University. Clin Optom (Auckl). 2022 Sep 19;14:159-172. doi: https://10.2147/OPTO.S374837

Downloads

Published

2026-04-30