Publications

Authors:

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

Title:

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

Year:

2022

Type of item:

Articolo in Rivista

Tipologia ANVUR:

Articolo su rivista

Language:

Inglese

Format:

Elettronico

Referee:

Sì

Name of journal:

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH

ISSN of journal:

1660-4601

N° Volume:

19

Number or Folder:

4506

Page numbers:

1-14

Keyword:

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

Short description of contents:

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.

Web page:

https://doi.org/10.3390/ijerph19084506

Product ID:

125953

Handle IRIS:

11562/1062756

Last Modified:

November 15, 2022

Bibliographic citation:

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

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