CVS-Q teen: an adapted, reliable and validated tool to assess computer vision syndrome in adolescents
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View abstract on PubMed
Summary
This summary is machine-generated.This study validated the Computer Vision Syndrome Questionnaire for Teens (CVS-Q teen©), finding it reliable for assessing digital device-related eye strain in adolescents. Early identification of computer vision syndrome is now more accessible for visual health.
Area Of Science
- Ophthalmology and Visual Science
- Adolescent Health
- Digital Health
Background
- Adolescents extensively use digital devices, raising concerns about visual health.
- Existing tools may not be specifically adapted for adolescent use and digital device habits.
- Computer Vision Syndrome (CVS) is a growing concern in this demographic.
Purpose Of The Study
- To adapt and validate the Computer Vision Syndrome Questionnaire (CVS-Q©) for adolescents aged 12-17 years.
- To establish the reliability and validity of the adapted questionnaire for assessing CVS in adolescents.
- To provide a tool for early identification and management of visual health issues related to digital device use.
Main Methods
- A mixed-method sequential design involving qualitative assessment of acceptability and a quantitative cross-sectional study.
- 277 adolescents (aged 12-17) completed the adapted CVS-Q teen©, an ad hoc questionnaire, and the OSDI.
- Rasch-Andrich rating scale model analysis was used to assess reliability and validity, with repeatability tested on a subset.
Main Results
- The adapted 14-item CVS-Q teen© demonstrated unidimensionality, adequate internal consistency (person reliability=0.69, item reliability=0.98), and good intraobserver reliability (ICC=0.77).
- Strong construct validity was supported by a significant correlation with the OSDI (r=0.782, p<0.001).
- A cutoff score of ≥6 indicated CVS with high sensitivity (85.2%) and specificity (76.5%).
Conclusions
- The CVS-Q teen© is a valid and reliable instrument for assessing computer vision syndrome in adolescents.
- The questionnaire is suitable for both research and clinical practice for early detection of visual health problems.
- This validated tool supports targeted recommendations for improving adolescent visual health in the digital age.
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