Computer Vision Syndrome among Undergraduate Medical Students of Nepal: A Cross-sectional Study

Authors

  • Niraj Prasad Sah Nepalgunj Medical College and Teaching Hospital, Kohalpur, Banke, Nepal
  • Sumi Jha Nepalgunj Medical College and Teaching Hospital, Kohalpur, Banke, Nepal
  • Saharoj Siddiqui Nepalgunj Medical College and Teaching Hospital, Kohalpur, Banke, Nepal
  • Aswani Chaudhary Department of Pharmacy and Clinical Pharmacology, Madan Bhandari Academy of Health Sciences, Hetauda, Makwanpur, Nepal
  • Jay Prakash Jha Department of Physiology, Universal College of Medical Sciences, Bhairahwa, Nepal

DOI:

https://doi.org/10.3126/jpsn.v3i2.65284

Keywords:

Digital devices, medical students, Nepal, ocular symptoms, syndrome

Abstract

Background : Prolonged computer use can lead to Computer Vision Syndrome (CVS), a group of symptoms that affects work efficiency and productivity. Medical students are at high risk for CVS. This study aimed to assess the frequency of CVS among undergraduate medical students in Nepal.
Methods : A descriptive cross-sectional study was conducted among 190 first and second-year medical students at Nepalgunj Medical College. Data were collected using a semi-structured questionnaire and analyzed using descriptive and analytical statistics.
Results : Among 190 participants, most (86.3%) reported symptoms of CVS, with headache (49.5%) and neck/shoulder pain (47%) being the most common, and double vision (3.7%) the least common ones. Blue filters (51.6%) and correction glasses (49.5%) were the most common preventive measures, while only 15.8% of students followed the 20/20/20 rule. Female students had higher rates of refractive errors (p=0.016) and headache (p=0.041), but lower rates of redness (p=0.019), compared to males. Symptoms were significantly associated with longer duration of device use (p<0.001).
Conclusion : CVS is prevalent among medical students and was related to device use habits. Increased awareness of the effects of computer use and its preventive measures is needed in medical colleges.

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Published

2024-04-29

How to Cite

Sah, N. P., Jha, S., Siddiqui, S., Chaudhary, A., & Jha, J. P. (2024). Computer Vision Syndrome among Undergraduate Medical Students of Nepal: A Cross-sectional Study. Journal of Physiological Society of Nepal, 3(2), 11–17. https://doi.org/10.3126/jpsn.v3i2.65284

Issue

Section

Research Articles