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Validation of the medium and short version of CENSOPAS-COPSOQ: a psychometric study in the Peruvian population
BACKGROUND: The presence of psychosocial risks at work are associated with mental and physical health issues in workers. The study aim was to adapt the COPSOQ-ISTAS21 (Spanish version of the Copenhagen Psychosocial Questionnaire and Union Institute of Work, Environment and Health) Medium-Version to...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9077908/ https://www.ncbi.nlm.nih.gov/pubmed/35524201 http://dx.doi.org/10.1186/s12889-022-13328-0 |
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author | Lucero-Perez, Martha R. Sabastizagal, Iselle Astete-Cornejo, Jonh Burgos, Miguel Angel Villarreal-Zegarra, David Moncada, Salvador |
author_facet | Lucero-Perez, Martha R. Sabastizagal, Iselle Astete-Cornejo, Jonh Burgos, Miguel Angel Villarreal-Zegarra, David Moncada, Salvador |
author_sort | Lucero-Perez, Martha R. |
collection | PubMed |
description | BACKGROUND: The presence of psychosocial risks at work are associated with mental and physical health issues in workers. The study aim was to adapt the COPSOQ-ISTAS21 (Spanish version of the Copenhagen Psychosocial Questionnaire and Union Institute of Work, Environment and Health) Medium-Version to the Peruvian context and to develop a Short-Version of the instrument. METHOD: Cross-sectional design study. The COPSOQ-ISTAS21 Medium Version was used. A confirmatory factor analysis was performed to determine the internal structure of each subdimension (first-order) and dimension (second-order) using the Robust Maximum Likelihood estimation method, and classic fit indices in the literature (CFI, SRMR, RMSEA). Internal consistency was evaluated using the alpha and omega coefficients. A short version was developed based on the items with the highest factorial load and that reduce the factorial complexity. RESULTS: A total of 1707 participants were evaluated. In the confirmatory factor analysis, the goodness-of-fit indices for seventeen of the 20 one-dimensional models (subdimensions) were identified; two subdimensions could not be evaluated because they presented only two items. When conducting a multidimensional analysis, we identified that all second-order models presented optimal goodness-of-fit indices, except “psychological demands at work”. Finally, a short version of only 31 items was designed from the items with optimal fit indices. CONCLUSIONS: The new adapted versions of COPSOQ-ISTAS21 were renamed CENSOPAS-COPSOQ (National center of occupational health and environment protection for health -in Spanish- and Copenhagen Psychosocial Questionnaire). The CENSOPAS-COPSOQ is an instrument with sufficient evidence of validity and reliability in its medium and short version, which is why its use is recommended in Peruvian work centers to identify the evaluation and prevention of psychosocial risks at work in Peru. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-13328-0. |
format | Online Article Text |
id | pubmed-9077908 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-90779082022-05-08 Validation of the medium and short version of CENSOPAS-COPSOQ: a psychometric study in the Peruvian population Lucero-Perez, Martha R. Sabastizagal, Iselle Astete-Cornejo, Jonh Burgos, Miguel Angel Villarreal-Zegarra, David Moncada, Salvador BMC Public Health Research BACKGROUND: The presence of psychosocial risks at work are associated with mental and physical health issues in workers. The study aim was to adapt the COPSOQ-ISTAS21 (Spanish version of the Copenhagen Psychosocial Questionnaire and Union Institute of Work, Environment and Health) Medium-Version to the Peruvian context and to develop a Short-Version of the instrument. METHOD: Cross-sectional design study. The COPSOQ-ISTAS21 Medium Version was used. A confirmatory factor analysis was performed to determine the internal structure of each subdimension (first-order) and dimension (second-order) using the Robust Maximum Likelihood estimation method, and classic fit indices in the literature (CFI, SRMR, RMSEA). Internal consistency was evaluated using the alpha and omega coefficients. A short version was developed based on the items with the highest factorial load and that reduce the factorial complexity. RESULTS: A total of 1707 participants were evaluated. In the confirmatory factor analysis, the goodness-of-fit indices for seventeen of the 20 one-dimensional models (subdimensions) were identified; two subdimensions could not be evaluated because they presented only two items. When conducting a multidimensional analysis, we identified that all second-order models presented optimal goodness-of-fit indices, except “psychological demands at work”. Finally, a short version of only 31 items was designed from the items with optimal fit indices. CONCLUSIONS: The new adapted versions of COPSOQ-ISTAS21 were renamed CENSOPAS-COPSOQ (National center of occupational health and environment protection for health -in Spanish- and Copenhagen Psychosocial Questionnaire). The CENSOPAS-COPSOQ is an instrument with sufficient evidence of validity and reliability in its medium and short version, which is why its use is recommended in Peruvian work centers to identify the evaluation and prevention of psychosocial risks at work in Peru. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-13328-0. BioMed Central 2022-05-07 /pmc/articles/PMC9077908/ /pubmed/35524201 http://dx.doi.org/10.1186/s12889-022-13328-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Lucero-Perez, Martha R. Sabastizagal, Iselle Astete-Cornejo, Jonh Burgos, Miguel Angel Villarreal-Zegarra, David Moncada, Salvador Validation of the medium and short version of CENSOPAS-COPSOQ: a psychometric study in the Peruvian population |
title | Validation of the medium and short version of CENSOPAS-COPSOQ: a psychometric study in the Peruvian population |
title_full | Validation of the medium and short version of CENSOPAS-COPSOQ: a psychometric study in the Peruvian population |
title_fullStr | Validation of the medium and short version of CENSOPAS-COPSOQ: a psychometric study in the Peruvian population |
title_full_unstemmed | Validation of the medium and short version of CENSOPAS-COPSOQ: a psychometric study in the Peruvian population |
title_short | Validation of the medium and short version of CENSOPAS-COPSOQ: a psychometric study in the Peruvian population |
title_sort | validation of the medium and short version of censopas-copsoq: a psychometric study in the peruvian population |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9077908/ https://www.ncbi.nlm.nih.gov/pubmed/35524201 http://dx.doi.org/10.1186/s12889-022-13328-0 |
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