Computer vision syndrome among university students: A cross sectional study from Perak, Malaysia

  • Chang Wen Yuan Quest International University (QIU), No. 227, Plaza Teh Teng Seng (Level 2), Jalan Raja Permaisuri Bainun, 30250 Ipoh, Perak Darul Ridzuan, Malaysia http://orcid.org/0000-0002-8906-307X
  • Elvin Liew Kee Hon Hon Quest International University (QIU), No. 227, Plaza Teh Teng Seng (Level 2), Jalan Raja Permaisuri Bainun, 30250 Ipoh, Perak Darul Ridzuan, Malaysia http://orcid.org/0000-0002-9631-9213
  • Ooi Hui Lam Quest International University (QIU), No. 227, Plaza Teh Teng Seng (Level 2), Jalan Raja Permaisuri Bainun, 30250 Ipoh, Perak Darul Ridzuan, Malaysia http://orcid.org/0000-0003-0072-0043
  • Jack Tay Quest International University (QIU), No. 227, Plaza Teh Teng Seng (Level 2), Jalan Raja Permaisuri Bainun, 30250 Ipoh, Perak Darul Ridzuan, Malaysia http://orcid.org/0000-0003-2574-8974
  • Ng Yuet Yue Quest International University (QIU), No. 227, Plaza Teh Teng Seng (Level 2), Jalan Raja Permaisuri Bainun, 30250 Ipoh, Perak Darul Ridzuan, Malaysia http://orcid.org/0000-0003-3198-5140
  • Keerti C Viji Quest International University (QIU), No. 227, Plaza Teh Teng Seng (Level 2), Jalan Raja Permaisuri Bainun, 30250 Ipoh, Perak Darul Ridzuan, Malaysia http://orcid.org/0000-0001-6417-7655
Keywords: Computer Vision Syndrome Questionnaire, Computer-Vision Symptom Scale, Malaysia, student, symptoms

Abstract

Introduction:

Computer vision syndrome (CVS) is associated with the prolonged usage of computers, which causes accommodative problems in the eye, corneal dryness, reduced blink rate, and musculoskeletal symptoms due to the improper posture. This study aimed to determine the prevalence and factors associated with CVS among university students.

Methods:

This cross-sectional descriptive study was conducted at the Quest International University, Ipoh, Malaysia. One hundred seventy-three students from different faculties participated in the research. Computer-Vision Symptom Scale (CVSS17) and Computer Vision Syndrome Questionnaire (CVS-Q) were used to assess the CVS.

 

Results:

Most (76.7%) of the respondents suffered from CVS, where 80% were females and 72.7% were males. 76.1% of the CVS sufferers had poor head posture. A vast majority reported dull environmental illumination, leaning forward during device usage. The top line of the screen above eye level was reported by 80.9% of students who suffered from CVS, and was statistically significant.

Conclusion:

CVS is present amongst the participants. Correct posture, frequent breaks, proper lighting in the surroundings, and correct viewing angle help minimize CVS complications. Special attention needs to be given to the affected students.

 

 

 

Author Biographies

Chang Wen Yuan, Quest International University (QIU), No. 227, Plaza Teh Teng Seng (Level 2), Jalan Raja Permaisuri Bainun, 30250 Ipoh, Perak Darul Ridzuan, Malaysia

Fourth year MBBS student, Faculty of Medicine

 

Elvin Liew Kee Hon Hon, Quest International University (QIU), No. 227, Plaza Teh Teng Seng (Level 2), Jalan Raja Permaisuri Bainun, 30250 Ipoh, Perak Darul Ridzuan, Malaysia

Fourth year MBBS student, Faculty of Medicine

 

Ooi Hui Lam, Quest International University (QIU), No. 227, Plaza Teh Teng Seng (Level 2), Jalan Raja Permaisuri Bainun, 30250 Ipoh, Perak Darul Ridzuan, Malaysia

Fourth year MBBS student, Faculty of Medicine

 

Jack Tay, Quest International University (QIU), No. 227, Plaza Teh Teng Seng (Level 2), Jalan Raja Permaisuri Bainun, 30250 Ipoh, Perak Darul Ridzuan, Malaysia

Fourth year MBBS student, Faculty of Medicine

 

Ng Yuet Yue, Quest International University (QIU), No. 227, Plaza Teh Teng Seng (Level 2), Jalan Raja Permaisuri Bainun, 30250 Ipoh, Perak Darul Ridzuan, Malaysia

Fourth year MBBS student, Faculty of Medicine

 

Keerti C Viji, Quest International University (QIU), No. 227, Plaza Teh Teng Seng (Level 2), Jalan Raja Permaisuri Bainun, 30250 Ipoh, Perak Darul Ridzuan, Malaysia

Fourth year MBBS student, Faculty of Medicine

 

Published
2022-12-31
How to Cite
Yuan, C. W., Hon, E. L. K. H., Lam, O. H., Tay, J., Yue, N. Y., & Viji, K. C. (2022). Computer vision syndrome among university students: A cross sectional study from Perak, Malaysia. Quest International Journal of Medical and Health Sciences, 5(2), 18-25. https://doi.org/10.5281/zenodo.7542787
Section
Original article