View in EDS PDF Full Text

Cultural adaptation and validation of the Computer Vision Syndrome Questionnaire in Colombia.

Saved in:
Bibliographic Details
Title: Cultural adaptation and validation of the Computer Vision Syndrome Questionnaire in Colombia.
Alternate Title: Adaptación cultural y validación del Computer Vision Syndrome Questionnaire en Colombia.
Adaptação cultural e validação do Computer Vision Syndrome Questionnaire na Colômbia.
Authors: Silva Sánchez, Diana Carolina1 silva.diana@uces.edu.co, Rojas-Gualdrón, Diego Fernando1 dfrojas@ces.edu.co, Gómez Rúa, Natalia Eugenia1 ngomez@ces.edu.co, Ronda Pérez, Elena2 elena.ronda@ua.es, Seguí, María del Mar2 mm.segui@ua.es
Source: Revista Cuidarte. May-Aug2025, Vol. 16 Issue 2, p1-17. 17p.
Subjects: OCCUPATIONAL disease diagnosis, WHITE collar workers, CROSS-sectional method, SELF-evaluation, CORNEA diseases, COMPUTERS, VISION disorders, DATA analysis, RESEARCH funding, QUESTIONNAIRES, RESEARCH methodology evaluation, SCIENTIFIC observation, SEX distribution, VISION testing, QUANTITATIVE research, DESCRIPTIVE statistics, AGE distribution, STATISTICS, RESEARCH methodology, RESEARCH, PSYCHOMETRICS, DRY eye syndromes, EYE pain, COMPARATIVE studies, DATA analysis software, HEALTH outcome assessment, PSYCHOSOCIAL factors, EMPLOYEE attitudes
Geographic Terms: COLOMBIA
Abstract (English): Introduction: Emerging risks at work may be caused by new information and communication technologies, such as computers. While they enhance productivity, computers can also cause new health issues in workers, such as Computer Vision Syndrome (CVS). Objective: To culturally adapt and evaluate the validity evidence of the Computer Vision Syndrome Questionnaire (CVS-Q©) for adult Colombian computer-using workers from the Rasch model approach. Materials and Methods: A quantitative, observational, cross-sectional, analytical study was conducted with a sample of 300 computer-using workers from a public university in Colombia in 2022. Rasch analyses were performed to fit response categories, items, and individuals; examine differential item functioning (DIF), dimensionality, and local independence of items; determine reliability; and produce the item-person map. Results: The CVS-Q (Colombia)© response format was adjusted to meet Linacre's guidelines for optimizing rating scale categories. All items showed infit and outfit mean-square values within the expected range. The scale was unidimensional, and the Rasch measurement explained 35.90% of the variance. Person reliability was 0.77, internal consistency was 0.88, and temporal stability reliability was 0.86. Discussion: The CVS-Q (Colombia)© assesses the frequency, intensity, and severity of sixteen signs and symptoms of CVS. Conclusion: The CVS-Q (Colombia)© is a valid and reliable scale for measuring the severity of CVS symptoms in Colombian workers. [ABSTRACT FROM AUTHOR]
Abstract (Spanish): Introducción: Los riesgos emergentes en el trabajo pueden ser causados por las nuevas tecnologías de la información y la comunicación, como la computadora. Si bien esta mejora la productividad, también puede ocasionar nuevas alteraciones en la salud de los trabajadores como el Síndrome Visual Informático (SVI). Objetivo: Adaptar culturalmente y evaluar la evidencia de validez del Computer Vision Syndrome Questionnaire (CVS-Q©) en trabajadores colombianos adultos que utilizan computadoras desde la perspectiva del modelo de Rasch. Materiales y Métodos: Estudio cuantitativo, observacional, transversal con intención analítica en una muestra de 300 trabajadores usuarios de computadoras de una universidad pública de Colombia en el año 2022. Se realizaron análisis de Rasch para ajustar las categorías de respuesta, ítems e individuos, examinar el funcionamiento diferencial de los ítems, la dimensionalidad e independencia local de los ítems, determinar la confiabilidad, y generar el mapa ítem-persona. Resultados: El formato de respuesta CVS-Q (Colombia)© se ajustó a los lineamientos de Linacre para la optimización de las categorías de la escala de valoración. Todos los ítems mostraron medias cuadráticas de infit y outfit dentro del rango esperado. La escala es unidimensional y la medida de Rasch explicó el 35,90% de la varianza. La confiabilidad de los individuos fue de 0,77, la consistencia interna fue de 0,88 y la confiabilidad de estabilidad temporal fue de 0,86. Discusión: El CVS-Q (Colombia)© evalúa la frecuencia, intensidad y severidad de dieciséis signos y síntomas del SVI. Conclusión: El CVS-Q (Colombia)© es una escala válida y confiable para medir la gravedad de los síntomas del SVI en trabajadores colombianos. [ABSTRACT FROM AUTHOR]
Abstract (Portuguese): Introdução: Riscos emergentes no trabalho podem ser causados por novas tecnologias de informação e comunicação, como o uso do computador, que gera benefícios na produtividade, mas também novas alterações na saúde dos trabalhadores, como a Síndrome Visual Computacional. Objetivo: Adaptar culturalmente e avaliar as evidências de validade do Computer Visual Syndrome Questionnaire (CVS-Q©) em trabalhadores colombianos adultos que usam computadores a partir da perspectiva do modelo Rasch. Materiais e Métodos: Estudo quantitativo, observacional, transversal com intenção analítica em uma amostra de 300 trabalhadores usuários de computador de uma universidade pública na Colômbia em 2022. Foram realizadas análises Rasch ajustando categorias de resposta, itens e indivíduos, funcionamento diferencial dos itens, dimensionalidade e independência local dos itens, confiabilidade e um mapa item-pessoa. Resultados: O formato de resposta do CVS-Q (Colômbia)© foi ajustado aos requisitos de otimização da função de Linacre, todos os itens apresentaram quadrados médios de Infit e Outfit na faixa esperada, a escala é unidimensional e a medida Rasch obtida do instrumento explicou 35,90% da variância. A confiabilidade para indivíduos foi de 0,77 com uma consistência interna de 0,88. A confiabilidade da estabilidade temporal foi de 0,86. Discussão: O CVS-Q (Colômbia)© é um questionário que avalia a frequência, intensidade e gravidade de dezesseis sinais e sintomas da Síndrome da Visão do Computador. Conclusão: O CVS-Q (Colômbia)© é uma escala válida e confiável para medir a gravidade dos sintomas da Síndrome da Visão do Computador em trabalhadores colombianos. [ABSTRACT FROM AUTHOR]
Copyright of Revista Cuidarte is the property of Universidad de Santander and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: MedicLatina
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: lth
DbLabel: MedicLatina
An: 190364192
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Cultural adaptation and validation of the Computer Vision Syndrome Questionnaire in Colombia.
– Name: TitleAlt
  Label: Alternate Title
  Group: TiAlt
  Data: Adaptación cultural y validación del Computer Vision Syndrome Questionnaire en Colombia.<br />Adaptação cultural e validação do Computer Vision Syndrome Questionnaire na Colômbia.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Silva+Sánchez%2C+Diana+Carolina%22">Silva Sánchez, Diana Carolina</searchLink><relatesTo>1</relatesTo><i> silva.diana@uces.edu.co</i><br /><searchLink fieldCode="AR" term="%22Rojas-Gualdrón%2C+Diego+Fernando%22">Rojas-Gualdrón, Diego Fernando</searchLink><relatesTo>1</relatesTo><i> dfrojas@ces.edu.co</i><br /><searchLink fieldCode="AR" term="%22Gómez+Rúa%2C+Natalia+Eugenia%22">Gómez Rúa, Natalia Eugenia</searchLink><relatesTo>1</relatesTo><i> ngomez@ces.edu.co</i><br /><searchLink fieldCode="AR" term="%22Ronda+Pérez%2C+Elena%22">Ronda Pérez, Elena</searchLink><relatesTo>2</relatesTo><i> elena.ronda@ua.es</i><br /><searchLink fieldCode="AR" term="%22Seguí%2C+María+del+Mar%22">Seguí, María del Mar</searchLink><relatesTo>2</relatesTo><i> mm.segui@ua.es</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Revista+Cuidarte%22">Revista Cuidarte</searchLink>. May-Aug2025, Vol. 16 Issue 2, p1-17. 17p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22OCCUPATIONAL+disease+diagnosis%22">OCCUPATIONAL disease diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22WHITE+collar+workers%22">WHITE collar workers</searchLink><br /><searchLink fieldCode="DE" term="%22CROSS-sectional+method%22">CROSS-sectional method</searchLink><br /><searchLink fieldCode="DE" term="%22SELF-evaluation%22">SELF-evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22CORNEA+diseases%22">CORNEA diseases</searchLink><br /><searchLink fieldCode="DE" term="%22COMPUTERS%22">COMPUTERS</searchLink><br /><searchLink fieldCode="DE" term="%22VISION+disorders%22">VISION disorders</searchLink><br /><searchLink fieldCode="DE" term="%22DATA+analysis%22">DATA analysis</searchLink><br /><searchLink fieldCode="DE" term="%22RESEARCH+funding%22">RESEARCH funding</searchLink><br /><searchLink fieldCode="DE" term="%22QUESTIONNAIRES%22">QUESTIONNAIRES</searchLink><br /><searchLink fieldCode="DE" term="%22RESEARCH+methodology+evaluation%22">RESEARCH methodology evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22SCIENTIFIC+observation%22">SCIENTIFIC observation</searchLink><br /><searchLink fieldCode="DE" term="%22SEX+distribution%22">SEX distribution</searchLink><br /><searchLink fieldCode="DE" term="%22VISION+testing%22">VISION testing</searchLink><br /><searchLink fieldCode="DE" term="%22QUANTITATIVE+research%22">QUANTITATIVE research</searchLink><br /><searchLink fieldCode="DE" term="%22DESCRIPTIVE+statistics%22">DESCRIPTIVE statistics</searchLink><br /><searchLink fieldCode="DE" term="%22AGE+distribution%22">AGE distribution</searchLink><br /><searchLink fieldCode="DE" term="%22STATISTICS%22">STATISTICS</searchLink><br /><searchLink fieldCode="DE" term="%22RESEARCH+methodology%22">RESEARCH methodology</searchLink><br /><searchLink fieldCode="DE" term="%22RESEARCH%22">RESEARCH</searchLink><br /><searchLink fieldCode="DE" term="%22PSYCHOMETRICS%22">PSYCHOMETRICS</searchLink><br /><searchLink fieldCode="DE" term="%22DRY+eye+syndromes%22">DRY eye syndromes</searchLink><br /><searchLink fieldCode="DE" term="%22EYE+pain%22">EYE pain</searchLink><br /><searchLink fieldCode="DE" term="%22COMPARATIVE+studies%22">COMPARATIVE studies</searchLink><br /><searchLink fieldCode="DE" term="%22DATA+analysis+software%22">DATA analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22HEALTH+outcome+assessment%22">HEALTH outcome assessment</searchLink><br /><searchLink fieldCode="DE" term="%22PSYCHOSOCIAL+factors%22">PSYCHOSOCIAL factors</searchLink><br /><searchLink fieldCode="DE" term="%22EMPLOYEE+attitudes%22">EMPLOYEE attitudes</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22COLOMBIA%22">COLOMBIA</searchLink>
– Name: Abstract
  Label: Abstract (English)
  Group: Ab
  Data: Introduction: Emerging risks at work may be caused by new information and communication technologies, such as computers. While they enhance productivity, computers can also cause new health issues in workers, such as Computer Vision Syndrome (CVS). Objective: To culturally adapt and evaluate the validity evidence of the Computer Vision Syndrome Questionnaire (CVS-Q©) for adult Colombian computer-using workers from the Rasch model approach. Materials and Methods: A quantitative, observational, cross-sectional, analytical study was conducted with a sample of 300 computer-using workers from a public university in Colombia in 2022. Rasch analyses were performed to fit response categories, items, and individuals; examine differential item functioning (DIF), dimensionality, and local independence of items; determine reliability; and produce the item-person map. Results: The CVS-Q (Colombia)© response format was adjusted to meet Linacre's guidelines for optimizing rating scale categories. All items showed infit and outfit mean-square values within the expected range. The scale was unidimensional, and the Rasch measurement explained 35.90% of the variance. Person reliability was 0.77, internal consistency was 0.88, and temporal stability reliability was 0.86. Discussion: The CVS-Q (Colombia)© assesses the frequency, intensity, and severity of sixteen signs and symptoms of CVS. Conclusion: The CVS-Q (Colombia)© is a valid and reliable scale for measuring the severity of CVS symptoms in Colombian workers. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label: Abstract (Spanish)
  Group: Ab
  Data: Introducción: Los riesgos emergentes en el trabajo pueden ser causados por las nuevas tecnologías de la información y la comunicación, como la computadora. Si bien esta mejora la productividad, también puede ocasionar nuevas alteraciones en la salud de los trabajadores como el Síndrome Visual Informático (SVI). Objetivo: Adaptar culturalmente y evaluar la evidencia de validez del Computer Vision Syndrome Questionnaire (CVS-Q©) en trabajadores colombianos adultos que utilizan computadoras desde la perspectiva del modelo de Rasch. Materiales y Métodos: Estudio cuantitativo, observacional, transversal con intención analítica en una muestra de 300 trabajadores usuarios de computadoras de una universidad pública de Colombia en el año 2022. Se realizaron análisis de Rasch para ajustar las categorías de respuesta, ítems e individuos, examinar el funcionamiento diferencial de los ítems, la dimensionalidad e independencia local de los ítems, determinar la confiabilidad, y generar el mapa ítem-persona. Resultados: El formato de respuesta CVS-Q (Colombia)© se ajustó a los lineamientos de Linacre para la optimización de las categorías de la escala de valoración. Todos los ítems mostraron medias cuadráticas de infit y outfit dentro del rango esperado. La escala es unidimensional y la medida de Rasch explicó el 35,90% de la varianza. La confiabilidad de los individuos fue de 0,77, la consistencia interna fue de 0,88 y la confiabilidad de estabilidad temporal fue de 0,86. Discusión: El CVS-Q (Colombia)© evalúa la frecuencia, intensidad y severidad de dieciséis signos y síntomas del SVI. Conclusión: El CVS-Q (Colombia)© es una escala válida y confiable para medir la gravedad de los síntomas del SVI en trabajadores colombianos. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label: Abstract (Portuguese)
  Group: Ab
  Data: Introdução: Riscos emergentes no trabalho podem ser causados por novas tecnologias de informação e comunicação, como o uso do computador, que gera benefícios na produtividade, mas também novas alterações na saúde dos trabalhadores, como a Síndrome Visual Computacional. Objetivo: Adaptar culturalmente e avaliar as evidências de validade do Computer Visual Syndrome Questionnaire (CVS-Q©) em trabalhadores colombianos adultos que usam computadores a partir da perspectiva do modelo Rasch. Materiais e Métodos: Estudo quantitativo, observacional, transversal com intenção analítica em uma amostra de 300 trabalhadores usuários de computador de uma universidade pública na Colômbia em 2022. Foram realizadas análises Rasch ajustando categorias de resposta, itens e indivíduos, funcionamento diferencial dos itens, dimensionalidade e independência local dos itens, confiabilidade e um mapa item-pessoa. Resultados: O formato de resposta do CVS-Q (Colômbia)© foi ajustado aos requisitos de otimização da função de Linacre, todos os itens apresentaram quadrados médios de Infit e Outfit na faixa esperada, a escala é unidimensional e a medida Rasch obtida do instrumento explicou 35,90% da variância. A confiabilidade para indivíduos foi de 0,77 com uma consistência interna de 0,88. A confiabilidade da estabilidade temporal foi de 0,86. Discussão: O CVS-Q (Colômbia)© é um questionário que avalia a frequência, intensidade e gravidade de dezesseis sinais e sintomas da Síndrome da Visão do Computador. Conclusão: O CVS-Q (Colômbia)© é uma escala válida e confiável para medir a gravidade dos sintomas da Síndrome da Visão do Computador em trabalhadores colombianos. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Revista Cuidarte is the property of Universidad de Santander and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=lth&AN=190364192
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.15649/cuidarte.3963
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 17
        StartPage: 1
    Subjects:
      – SubjectFull: OCCUPATIONAL disease diagnosis
        Type: general
      – SubjectFull: WHITE collar workers
        Type: general
      – SubjectFull: CROSS-sectional method
        Type: general
      – SubjectFull: SELF-evaluation
        Type: general
      – SubjectFull: CORNEA diseases
        Type: general
      – SubjectFull: COMPUTERS
        Type: general
      – SubjectFull: VISION disorders
        Type: general
      – SubjectFull: DATA analysis
        Type: general
      – SubjectFull: RESEARCH funding
        Type: general
      – SubjectFull: QUESTIONNAIRES
        Type: general
      – SubjectFull: RESEARCH methodology evaluation
        Type: general
      – SubjectFull: SCIENTIFIC observation
        Type: general
      – SubjectFull: SEX distribution
        Type: general
      – SubjectFull: VISION testing
        Type: general
      – SubjectFull: QUANTITATIVE research
        Type: general
      – SubjectFull: DESCRIPTIVE statistics
        Type: general
      – SubjectFull: AGE distribution
        Type: general
      – SubjectFull: STATISTICS
        Type: general
      – SubjectFull: RESEARCH methodology
        Type: general
      – SubjectFull: RESEARCH
        Type: general
      – SubjectFull: PSYCHOMETRICS
        Type: general
      – SubjectFull: DRY eye syndromes
        Type: general
      – SubjectFull: EYE pain
        Type: general
      – SubjectFull: COMPARATIVE studies
        Type: general
      – SubjectFull: DATA analysis software
        Type: general
      – SubjectFull: HEALTH outcome assessment
        Type: general
      – SubjectFull: PSYCHOSOCIAL factors
        Type: general
      – SubjectFull: EMPLOYEE attitudes
        Type: general
      – SubjectFull: COLOMBIA
        Type: general
    Titles:
      – TitleFull: Cultural adaptation and validation of the Computer Vision Syndrome Questionnaire in Colombia.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Silva Sánchez, Diana Carolina
      – PersonEntity:
          Name:
            NameFull: Rojas-Gualdrón, Diego Fernando
      – PersonEntity:
          Name:
            NameFull: Gómez Rúa, Natalia Eugenia
      – PersonEntity:
          Name:
            NameFull: Ronda Pérez, Elena
      – PersonEntity:
          Name:
            NameFull: Seguí, María del Mar
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 05
              Text: May-Aug2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 22160973
          Numbering:
            – Type: volume
              Value: 16
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Revista Cuidarte
              Type: main
ResultId 1