Literature DB >> 33978619

Magnitude and Determinants of Computer Vision Syndrome (CVS) among IT Workers in Kathmandu, Nepal.

Sudip Poudel1, Shankar Prasad Khanal.   

Abstract

INTRODUCTION: Computer Vision Syndrome (CVS) is developed among computer workers due to long time working with computers or viewing of the video display terminal (VDT). The objective of this study is to determine the magnitude and determinants of CVS symptoms among IT officers.
MATERIALS AND METHODS: A cross sectional study of IT office workers was conducted at Kathmandu from March to April 2019. Self-administrated questionnaire and observation of researcher was applied to collect information. CVS defect was considered if the participants were having minimum of one symptom during /following use of VDT. The proportion of CVS and its association with different independent factors was carried out.
RESULTS: The prevalence of CVS reported by 263 participants was 82.5% (95% CI: 81.3% - 83.6%), of them 163(62.0%) were not aware about bad effects of computers to the visual apparatus. Goggles were used as protection against CVS by 140(53.2%) participants. CVS symptoms included headache 127(48.0%), tired eyes 123(47.0%) and eye strain 114(43.0%). Use of computer for more than 4.75 hours/day experienced CVS. The mean office work included 7.7 ± 2.02 hours computer work. The video display gadgets usage in home was 2.7 ± 2.35 hours/ day. Not taking breaks (OR:7.3; 95% CI:2.2 - 24.9), not massaging eyes (OR:7.5; 95% CI:1.2 - 47.7), unusual viewing distance (OR:9.0; 95% CI:2.0 - 44.5), improper posture (OR:3.6; 95% CI:1.3 - 10.3), computer usage for more than 10 hours/ day (OR:5.4; 95% CI:1.6 - 18.2) and not aware of CVS (OR:7.2; 95% CI:2.6 - 20.3) were significant predictors of CVS in IT workers.
CONCLUSION: Most of the IT workers had CVS. Health education and care of IT workers based on predictors found need to be strengthened in the study area. © NEPjOPH.

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Year:  2020        PMID: 33978619     DOI: 10.3126/nepjoph.v12i2.29387

Source DB:  PubMed          Journal:  Nepal J Ophthalmol        ISSN: 2072-6805


  5 in total

1.  Prevalence and Associated Factors of Computer Vision Syndrome Among Academic Staff in the University of Gondar, Northwest Ethiopia: An Institution-Based Cross-Sectional Study.

Authors:  Amensisa Hailu Tesfaye; Mekuriaw Alemayehu; Giziew Abere; Tesfaye Hambisa Mekonnen
Journal:  Environ Health Insights       Date:  2022-07-12

2.  Magnitude and Determinants of Computer Vision Syndrome among College Students at a Saudi University.

Authors:  Abdulrahman AlDarrab; Abdulaziz A Khojah; Mohammed H Al-Ghazwi; Yazeed J Al-Haqbani; Naif M Al-Qahtani; Mohammed N Al-Ajmi; Saad H Alenezi; Mohammmed K Almasoud; Abdulaziz F Al-Yahya
Journal:  Middle East Afr J Ophthalmol       Date:  2022-04-30

3.  Digital Eye Strain among Adults Presenting to Tertiary Care Hospital in the Era of COVID-19 Pandemic: A Descriptive Cross-sectional Study.

Authors:  Anjila Basnet; Samyam Bickram Pathak; Anurag Marasini; Rohit Pandit; Amita Pradhan
Journal:  JNMA J Nepal Med Assoc       Date:  2022-01-15       Impact factor: 0.556

4.  Computer vision syndrome, musculoskeletal, and stress-related problems among visual display terminal users in Nepal.

Authors:  Amar Das; Sangam Shah; Tara Ballav Adhikari; Basanta Sharma Paudel; Sanjit Kumar Sah; Rakesh Kumar Das; Chiranjiwi Prasad Shah; Pragati Gautam Adhikari
Journal:  PLoS One       Date:  2022-07-19       Impact factor: 3.752

5.  Computer vision syndrome and predictors among computer users in Ethiopia: a systematic review and meta-analysis.

Authors:  Fentahun Adane; Yoseph Merkeb Alamneh; Melaku Desta
Journal:  Trop Med Health       Date:  2022-03-24
  5 in total

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