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CVS-Q teen: an adapted, reliable and validated tool to assess computer vision syndrome in adolescents.
- Source :
-
Scientific reports [Sci Rep] 2024 Sep 16; Vol. 14 (1), pp. 21576. Date of Electronic Publication: 2024 Sep 16. - Publication Year :
- 2024
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Abstract
- Adolescents' extensive use of digital devices raises significant concerns about their visual health. This study aimed to adapt and validate the computer vision syndrome questionnaire (CVS-Q <superscript>©</superscript> ) for adolescents aged 12-17 years. A mixed-method sequential design was used. First, a qualitative study was involved two nominal groups to assess the instrument's acceptability. A subsequent cross-sectional quantitative study with 277 randomly selected adolescents assessed reliability and validity. Participants completed the adapted CVS-Q <superscript>©</superscript> , an ad hoc questionnaire, and the ocular surface disease index (OSDI) questionnaire. Repeatability was tested in 54 adolescents after 7-14 days. The Rasch-Andrich rating scale model was used. Instructions and symptoms were modified to obtain the 14-item CVS-Q teen <superscript>©</superscript> . It showed unidimensionality, no local dependence between items, and respected monotonicity. Adequate internal consistency (person reliability = 0.69, item reliability = 0.98) and intraobserver reliability (intraclass correlation coefficient = 0.77, Cohen's Kappa = 0.49) were observed. A significant correlation (0.782, p < 0.001) between CVS-Q teen <superscript>©</superscript> and OSDI supported construct validity. A score of ≥ 6 points indicated computer vision syndrome (CVS) (sensitivity = 85.2%, specificity = 76.5%, and area under the curve = 0.879). In conclusion, CVS-Q teen <superscript>©</superscript> is a valid and reliable instrument for assessing CVS in adolescents using digital devices, applicable in research and clinical practice for early identification and recommendations for visual health.<br /> (© 2024. The Author(s).)
Details
- Language :
- English
- ISSN :
- 2045-2322
- Volume :
- 14
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Scientific reports
- Publication Type :
- Academic Journal
- Accession number :
- 39285189
- Full Text :
- https://doi.org/10.1038/s41598-024-70821-9