submitted on 2024-02-25, 11:43 and posted on 2024-02-25, 11:50authored byMuna Abed Alah, Sami Abdeen, Nagah Selim, Layla AlDahnaim, Iheb Bougmiza
<h3>Aim</h3><p dir="ltr">This study aimed to assess the prevalence of Computer Vision Syndrome (CVS) among children and adolescents in Qatar during the period of remote learning and explore the associated factors and discuss some digital health remedies that might reduce the risk.</p><h3>Methods</h3><p dir="ltr">We conducted an analytical cross-sectional study between June and August 2022 by collecting data via telephone interviews with parents of selected students utilizing the Computer Vision Syndrome Questionnaire (CVS-Q).</p><h3>Results</h3><p dir="ltr">We completed 1,546 interviews. The mean age of the students was (11 ± 2), male: female ratio was almost 1:1. About one quarter (368, 23.8%) of parents reported a previous diagnosis of visual disturbances among their children with over 88% of them wearing eyeglasses or medical contact lenses. The prevalence of CVS in our sample was about 8% (95%CI: 6.8–9.6). Mother’s employment, having positive history of visual disturbances, and excess screen time were found to be significant predictors of CVS.</p><h3>Conclusion</h3><p dir="ltr">Health care providers in collaboration with teachers should provide parents with evidence-based strategies to prevent or minimize the digital eye strain among students. In the landscape of remote learning, the implementation of digital remedies emerges as a proactive approach to mitigate the risk of digital eye strain.</p><h2>Other Information</h2><p dir="ltr">Published in: Frontiers in Public Health<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3389/fpubh.2023.1273886" target="_blank">https://dx.doi.org/10.3389/fpubh.2023.1273886</a></p>
Funding
Open Access funding provided by the Qatar National Library.
This Item is licensed under the Creative Commons Attribution 4.0 International License.
Institution affiliated with
Hamad Medical Corporation
Primary Health Care Corporation
Methodology
We conducted an analytical cross-sectional study between June and August 2022 by collecting data via telephone interviews with parents of selected students utilizing the Computer Vision Syndrome Questionnaire (CVS-Q).