Article ; Online: Prevalence of Self-Reported Symptoms of Computer Vision Syndrome and Associated Risk Factors among School Students in China during the COVID-19 Pandemic.
2021 Volume 29, Issue 4, Page(s) 363–373
Abstract: Purpose: To determine the prevalence and risk factors of self-reported symptoms of Computer Vision ... Syndrome (CVS) in school students during COVID-19 pandemic.: Methods: In this cross-sectional study ... for per-year increase, : Conclusions: During COVID-19 pandemic, self-reported CVS symptoms occurred in more ...
| Abstract | Purpose: To determine the prevalence and risk factors of self-reported symptoms of Computer Vision Syndrome (CVS) in school students during COVID-19 pandemic. Methods: In this cross-sectional study in Nanjing, China, students (grades 1-12) from six randomly selected schools self-administered the online survey questionnaire about hours on electronic devices, outdoor activities, frequency and intensity of 17 CVS symptoms during virtual learning period of COVID-19 pandemic. Results: Among 2363 invited students, 2005 (84.8%) completed the survey. Mean (SD) age was 12 (3.0) years, 51% were male, 53% wore glasses, 56% did not know the 20-20-20 rule (take a 20 second break every 20 min of close work and gaze at objects at least 20 feet away) and 6.5% knew but never followed the 20-20-20 rule. Mean (SD) hours/day was 4.6 (3.4) for screen time and 1.2 (1.0) for outdoor activities. Total of 1543 (77.0%) students reported at least one CVS symptom (median = 4) with eye dryness and itching the most common (48%). In multivariable analysis, CVS score 4 or more was independently associated with older age (adjusted odds ratio (aOR) = 1.05 for per-year increase, Conclusions: During COVID-19 pandemic, self-reported CVS symptoms occurred in more than three-quarters of students. Besides pre-existing ocular diseases, children with myopia not wearing glasses, excessive time on screens, non-compliance of the 20-20-20 rule and reduced outdoor activities were associated with higher risk of CVS. |
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| MeSH term(s) | COVID-19/epidemiology ; Child ; China/epidemiology ; Computers ; Cross-Sectional Studies ; Female ; Humans ; Male ; Myopia/epidemiology ; Pandemics ; Prevalence ; Risk Factors ; Self Report ; Students ; Surveys and Questionnaires | |||||
| Language | English | |||||
| Publishing date | 2021-08-25 | |||||
| Publishing country | England | |||||
| Document type | Journal Article ; Research Support, Non-U.S. Gov't | |||||
| ZDB-ID | 1213070-9 | |||||
| ISSN | 1744-5086 ; 0928-6586 | |||||
| ISSN (online) | 1744-5086 | |||||
| ISSN | 0928-6586 | |||||
| DOI | 10.1080/09286586.2021.1963786 | |||||
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| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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