Literature DB >> 32813924

Computer vision syndrome prevalence according to individual and video display terminal exposure characteristics in Spanish university students.

Natalia Cantó-Sancho1,2, Mar Sánchez-Brau1, Belén Ivorra-Soler3, Mar Seguí-Crespo3,4.   

Abstract

AIM: To estimate the prevalence of computer vision syndrome (CVS) in university students and its relationship with sociodemographic and optical correction factors and exposure to video display terminal (VDT).
METHODS: This cross-sectional study included 244 Spanish university students who responded to an anamnesis, a VDT exposure questionnaire and the Computer Vision Syndrome Questionnaire (CVS-Q© ). A descriptive analysis was performed and the prevalence of CVS was calculated. Logistic regression models were used to measure the association between CVS and the variables studied.
RESULTS: The mean age was 20.7 years (SD = 2.1), 57% were women, 78.3% used VDTs ≥ 2 hours/day to study. The prevalence of CVS was 76.6%, and the most frequent symptoms were headache and itching. In the crude analysis, being a woman, using glasses daily and to study, and a longer VDT use to study and in total were associated with a higher prevalence of CVS; while in the older group, the prevalence was lower. In the multivariate model, VDT use to study was associated with a greater probability of CVS (aOR: 3.43; 95%CI: 1.03-11.42), and being between 22 and 29 years was associated with a lower probability of it (aOR: 0.36; 95%CI: 0.15-0.89).
CONCLUSION: CVS has a high prevalence amongst Spanish university students. The most affected are the younger ones and those who use VDTs for longer hours to study. It is essential to continue investigating the influence of the type of tasks conducted with VDTs on CVS and thus to establish the preventive measures to reduce this syndrome.
© 2020 John Wiley & Sons Ltd.

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Year:  2020        PMID: 32813924     DOI: 10.1111/ijcp.13681

Source DB:  PubMed          Journal:  Int J Clin Pract        ISSN: 1368-5031            Impact factor:   2.503


  5 in total

1.  Effects of digital devices and online learning on computer vision syndrome in students during the COVID-19 era: an online questionnaire study.

Authors:  Kasem Seresirikachorn; Warakorn Thiamthat; Wararee Sriyuttagrai; Ngamphol Soonthornworasiri; Panisa Singhanetr; Narata Yudtanahiran; Thanaruk Theeramunkong
Journal:  BMJ Paediatr Open       Date:  2022-06

2.  Immediate Ocular Changes After Light-Emitting Diode Displays Exposure-A Preliminary Study.

Authors:  Chia-Chen Lin; Jia-Horung Hung; Yi-Hsun Huang
Journal:  Front Med (Lausanne)       Date:  2022-04-04

3.  Computer Visual Syndrome in Medical Students From a Private University in Paraguay: A Survey Study.

Authors:  Johanna Coronel-Ocampos; Jonathan Gómez; Alexis Gómez; Pedro P Quiroga-Castañeda; Mario J Valladares-Garrido
Journal:  Front Public Health       Date:  2022-07-14

4.  Computer Vision Syndrome During SARS-CoV-2 Outbreak in University Students: A Comparison Between Online Courses and Classroom Lectures.

Authors:  Lixiang Wang; Xin Wei; Yingping Deng
Journal:  Front Public Health       Date:  2021-07-08

5.  Health Issues with Learning to Use Smart Devices in the Digital Age: Using a Grounded Theory Approach.

Authors:  Myung-Sill Chung; GyeongAe Seomun
Journal:  Int J Environ Res Public Health       Date:  2021-07-01       Impact factor: 3.390

  5 in total

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