ArticleInternational journal of environmental research and public health2022
Rasch-Validated Italian Scale for Diagnosing Digital Eye Strain: The Computer Vision Syndrome Questionnaire IT©.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.
- Clinical manifestations, prevalence, and risk factors of asthenopia: a systematic review and meta-analysis.Journal of global health · 2026Pooled it
- Prevalence of computer vision syndrome: A systematic review and meta-analysis.Journal of optometryPooled it
- Consensus on Diagnostic Criteria, Clinical Symptoms, and Risk Factors for Visual Fatigue: A Modified Delphi Study.Ophthalmology and therapy · 2026Article
- Consensus on Diagnostic Criteria, Clinical Symptoms, and Risk Factors for Visual Fatigue: A Modified Delphi Study.Ophthalmology and therapy · 2026Article
- Evaluation of binocular vision parameters as screening indicators for asthenopia.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2025Article
- CVS-Q teen: an adapted, reliable and validated tool to assess computer vision syndrome in adolescents.Scientific reports · 2024Article
- Computer vision syndrome among Sudanese medical students: a growing medical issue in the digital world.Annals of medicine and surgery (2012) · 2024Article
- Visual, ocular surface, and extraocular diagnostic criteria for determining the prevalence of computer vision syndrome: a cross-sectional smart-survey-based study.Medical hypothesis, discovery & innovation ophthalmology journal · 2024Article
- Cross-cultural validation into Portuguese of a questionnaire to assess computer vision syndrome in workers exposed to digital devices.Arquivos brasileiros de oftalmologia · 2023Article
- Prevalence of Digital Eye Strain Among University Students and Its Association with Virtual Learning During the COVID-19 Pandemic.Clinical ophthalmology (Auckland, N.Z.) · 2023Article
- Development of a new 17-item Asthenopia Survey Questionnaire using Rasch analysis.International journal of ophthalmology · 2023Article
- Article
- Digital Eye Strain- A Comprehensive Review.Ophthalmology and therapy · 2022Review
- Cultural adaptation and validation of the Computer Vision Syndrome Questionnaire in Colombia.Revista CuidarteArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The use of digital devices affects eye health; this can influence the performance of workers. To assess this impact, validated patient-reported outcome questionnaires are needed. The purpose of this study was to validate the psychometric properties of the Italian version of the Computer Vision Syndrome Questionnaire (CVS-Q©) using Rasch analysis. Two hundred and forty-one Italian workers completed an ad hoc questionnaire on anamnesis and exposure to digital devices, and the Italian version of the CVS-Q©. Subsequently, a battery involving three clinical ocular surface and tear tests was performed. The reliability and validity of the scale was assessed using the Andrich Rating Scale Model, and the prevalence of computer vision syndrome (CVS) was calculated. A good fit of both items and persons to the predictions of the Rasch model was observed, with acceptable reliability, unidimensionality, and no or minimal severe differences as a function of gender or age; moreover, good test-retest repeatability, adequate values of sensitivity, reliability, and area under the curve, and adequate construct validity based on clinical tests were obtained. Workers with a questionnaire score ≥ 7 were found to present with CVS. The prevalence of CVS was 76.6%. The CVS-Q IT© is a valid and reliable scale to assess CVS in Italian workers who use digital devices.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.