Study of computer vision syndrome among medical undergraduates of Kumaon region, Uttarakhand

Authors

DOI:

https://doi.org/10.3126/ajms.v13i12.46351

Keywords:

COVID era; pre-COVID era; Computer vision syndrome; Undergraduate medical students; Kumaon

Abstract

Background: Activity on digital screen has increased so much during the COVID era that there is surge in persons complaining of symptoms of computer vision syndrome (CVS).

Aims and Objectives: The aim of the study was to determine the prevalence of CVS among the medical students and its associated factors during COVID period and to compare it with pre-COVID period.

Materials and Methods: A cross-sectional study was conducted among 337 undergraduate medical students at Government Medical College, Haldwani, Uttarakhand using pretested structured questionnaire which was filled through Google form for which link was circulated in class WhatsApp group. Data were analyzed using SPSS version 16. Frequency, percentage, binary logistic regression, and McNemar test was applied. P<0.05 was considered significant.

Results: The prevalence of CVS was significantly higher during COVID period, 54.9% (95% CI=49.7–60.1) that was significantly higher than non-COVID period. Eye strain (16.6%) was the most common CVS symptom during both pre-COVID and COVID period. The prevalence of CVS was significantly associated with use of preventive measures. During COVID period, average hours spent in digital screen was significantly higher as compared to non-COVID period.

Conclusion: This study showed that there was increase in CVS among the study participants during COVID era as there was increase in spending hours on digital screen and not or reduction in adopting preventive measures. It is important to increase awareness regarding the symptoms and precautions related to CVS.

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Published

2022-12-01

How to Cite

Maroof, M. ., Mohd Masjood, Preeti, Mohd Najmul Aqib Khan, Sadhana Awasthi, & Shanti Pandey. (2022). Study of computer vision syndrome among medical undergraduates of Kumaon region, Uttarakhand. Asian Journal of Medical Sciences, 13(12), 169–173. https://doi.org/10.3126/ajms.v13i12.46351

Issue

Vol. 13 No. 12 (2022)

Section

Original Articles

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Copyright (c) 2022 Asian Journal of Medical Sciences

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