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Synthetic indicators to analyze work-related physical and psychosocial risk factors: evidence from the European Working Conditions Survey
In modern workplaces, alongside physical, chemical, and biological hazards, other risks are linked to the organisation of work and to the nature of the work itself. This paper investigates the association between workers’ well-being and both psychosocial and physical risk factors at work proposing a...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9942656/ https://www.ncbi.nlm.nih.gov/pubmed/36844463 http://dx.doi.org/10.1007/s11135-023-01617-8 |
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author | Capecchi, Stefania Cappelli, Carmela Curtarelli, Maurizio Di Iorio, Francesca |
author_facet | Capecchi, Stefania Cappelli, Carmela Curtarelli, Maurizio Di Iorio, Francesca |
author_sort | Capecchi, Stefania |
collection | PubMed |
description | In modern workplaces, alongside physical, chemical, and biological hazards, other risks are linked to the organisation of work and to the nature of the work itself. This paper investigates the association between workers’ well-being and both psychosocial and physical risk factors at work proposing a synthetic measure suitable to generate insights on well-being at work and on individual risk factors. Exploiting data from the European Working Conditions Survey, we select as response variable the “self-assessed health”. As this proxy of well-being is measured on a Likert scale, Ordered Probit analyses are run, and respondents’ profiles are illustrated. Then, a Principal Component Analysis is carried out to build two synthetic measures summarising the selected risk determinants. The resulting first principal components are subsequently used as synthetic indicators in further, simplified, Ordered Probit models to explain the impact of different sets of risks on perceived health. Such a methodology allows for a straightforward interpretation of the results since many different risk drivers are replaced by two continuous synthetic indicators. Our findings, in line with existing research, confirm that both types of risk factors do exert a substantial impact on workers’ health, although the psychosocial determinants seem to be more prominent. |
format | Online Article Text |
id | pubmed-9942656 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-99426562023-02-22 Synthetic indicators to analyze work-related physical and psychosocial risk factors: evidence from the European Working Conditions Survey Capecchi, Stefania Cappelli, Carmela Curtarelli, Maurizio Di Iorio, Francesca Qual Quant Article In modern workplaces, alongside physical, chemical, and biological hazards, other risks are linked to the organisation of work and to the nature of the work itself. This paper investigates the association between workers’ well-being and both psychosocial and physical risk factors at work proposing a synthetic measure suitable to generate insights on well-being at work and on individual risk factors. Exploiting data from the European Working Conditions Survey, we select as response variable the “self-assessed health”. As this proxy of well-being is measured on a Likert scale, Ordered Probit analyses are run, and respondents’ profiles are illustrated. Then, a Principal Component Analysis is carried out to build two synthetic measures summarising the selected risk determinants. The resulting first principal components are subsequently used as synthetic indicators in further, simplified, Ordered Probit models to explain the impact of different sets of risks on perceived health. Such a methodology allows for a straightforward interpretation of the results since many different risk drivers are replaced by two continuous synthetic indicators. Our findings, in line with existing research, confirm that both types of risk factors do exert a substantial impact on workers’ health, although the psychosocial determinants seem to be more prominent. Springer Netherlands 2023-02-21 /pmc/articles/PMC9942656/ /pubmed/36844463 http://dx.doi.org/10.1007/s11135-023-01617-8 Text en © The Author(s) 2023 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/) . |
spellingShingle | Article Capecchi, Stefania Cappelli, Carmela Curtarelli, Maurizio Di Iorio, Francesca Synthetic indicators to analyze work-related physical and psychosocial risk factors: evidence from the European Working Conditions Survey |
title | Synthetic indicators to analyze work-related physical and psychosocial risk factors: evidence from the European Working Conditions Survey |
title_full | Synthetic indicators to analyze work-related physical and psychosocial risk factors: evidence from the European Working Conditions Survey |
title_fullStr | Synthetic indicators to analyze work-related physical and psychosocial risk factors: evidence from the European Working Conditions Survey |
title_full_unstemmed | Synthetic indicators to analyze work-related physical and psychosocial risk factors: evidence from the European Working Conditions Survey |
title_short | Synthetic indicators to analyze work-related physical and psychosocial risk factors: evidence from the European Working Conditions Survey |
title_sort | synthetic indicators to analyze work-related physical and psychosocial risk factors: evidence from the european working conditions survey |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9942656/ https://www.ncbi.nlm.nih.gov/pubmed/36844463 http://dx.doi.org/10.1007/s11135-023-01617-8 |
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