Pubblicazioni

Autori:

Cantó-Sancho, Natalia; Ronda, Elena; Cabrero-García, Julio; Casati, Stefano; Carta, Angela; Porru, Stefano; Seguí-Crespo, Mar

Titolo:

Rasch-Validated Italian Scale for Diagnosing Digital Eye Strain: The Computer Vision Syndrome Questionnaire IT©

Anno:

2022

Tipologia prodotto:

Articolo in Rivista

Tipologia ANVUR:

Articolo su rivista

Lingua:

Inglese

Formato:

Elettronico

Referee:

Sì

Nome rivista:

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH

ISSN Rivista:

1660-4601

N° Volume:

19

Numero o Fascicolo:

4506

Intervallo pagine:

1-14

Parole chiave:

validation study; asthenopia; surveys and questionnaires; Rasch model; psychometrics

Breve descrizione dei contenuti:

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.

Pagina Web:

https://doi.org/10.3390/ijerph19084506

Id prodotto:

125953

Handle IRIS:

11562/1062756

ultima modifica:

15 novembre 2022

Citazione bibliografica:

Cantó-Sancho, Natalia; Ronda, Elena; Cabrero-García, Julio; Casati, Stefano; Carta, Angela; Porru, Stefano; Seguí-Crespo, Mar, Rasch-Validated Italian Scale for Diagnosing Digital Eye Strain: The Computer Vision Syndrome Questionnaire IT© «INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH» , vol. 19 , n. 4506 , 2022 , pp. 1-14

Consulta la scheda completa presente nel repository istituzionale della Ricerca di Ateneo