GIJHSR

Galore International Journal of Health Sciences and Research


Original Research Article

Year: 2019 | Month: July-September | Volume: 4 | Issue: 3 | Pages: 10-15

Prevalence and Associated Risk Factors of Computer Vision Syndrome among the Computer Science Students of an Engineering College of Bengaluru- A Cross-Sectional Study

Ranganatha S C1, Sheetu Jailkhani2

1,2Assistant Professor, Department of Community Medicine, BharatiVidyapeeth (Deemed to be University) Medical College and Hospital, Sangli, Maharashtra.

Corresponding Author: Sheetu Jailkhani

ABSTRACT

Background: In the present era, advancement in technology has led to prolong and rampant computer usage, due to which there has been a rapid upsurge in Computer related health problems. Computer Vision Syndrome (CVS) is a complex of eye and vision problems related to near work, experienced during or related to computer use. The present study was conducted with the objective of assessing the prevalence and associated risk factors of Computer Vision Syndrome among the Computer Science students of an Engineering College.
Methodology: A Cross sectional study was conducted among 150 Computer Science students of ACS College of Engineering, Bengaluru, for the duration of two months. Data was collected using a Pre tested, Semi structured self-administered questionnaire and analyzed by using SPSS (Statistical Package for Social sciences) version 21.0 Descriptive statistics was used.
Results: Out of 150 study subjects, majority i.e. 84(56%) were female, 38.7% were 20 years of age. The Prevalence of Computer Vision Syndrome was 86.67%. The commonest symptoms of Computer vision syndrome were Headache (83.5%) followed by Eye strain (64.6%). The association between Computer Vision Syndrome and sitting arrangements (chair support to lower back, keeping computer screen at eye level, monitor can be tilted/raised/lowered and screen having glare filter) was found to be statistically significant. Also the association between Computer Vision Syndrome and hours per day of working on computer was found to be statistically significant.
Conclusion: Computer Vision Syndrome was found to be very frequent among the Computer Science students, which emphasizes the need to adopt some preventive measures to avoid the condition.

Key words: Computer Vision Syndrome(CVS), Engineering College, Computer Science students, Risk factors.

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