Mixture models and graphical tools to analyse the perception of work-related stress across EU countries

Work-related stress has emerged as a critical issue in public health and labour policy, particularly in light of evolving work environments and the effects of the COVID-19 pandemic. This study examines the perception of work stress across European Union member states by utilising CUB models, a class of mixture models well-suited for analysing ordinal data. The data for this research stems from the Flash Eurobarometer - OSH Pulse survey, conducted by the European Commission Agency for Occupational Safety and Health (EU-OSHA) in Spring 2022. Our findings indicate that the pandemic crisis has affected workers in the EU differently, with a greater impact on self-employed individuals, women, and more educated workers, who reported higher levels of work-stress. To support this analysis, the graphical features of CUB models effectively illustrate diverse response patterns across different countries and respondent profiles. Additionally, the Gretl CUB package has been updated to allow the use of sample weights in the estimation algorithm.

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Publication Details

Journal
Statistical Journal of the IAOS
Published
2025-10-27
DOI
https://doi.org/10.1177/18747655251388899
Primary Topic
Workplace Health and Well-being
Type
article
Field-Weighted Citation Impact
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article

Mixture models and graphical tools to analyse the perception of work-related stress across EU countries

Francesca Di Iorio, Stefania Capecchi, Ilias Gerogiannis
Statistical Journal of the IAOS
Workplace Health and Well-being
article

Mixture models and graphical tools to analyse the perception of work-related stress across EU countries

Francesca Di Iorio, Stefania Capecchi, Ilias Gerogiannis
article en

Abstract

Work-related stress has emerged as a critical issue in public health and labour policy, particularly in light of evolving work environments and the effects of the COVID-19 pandemic. This study examines the perception of work stress across European Union member states by utilising CUB models, a class of mixture models well-suited for analysing ordinal data. The data for this research stems from the Flash Eurobarometer - OSH Pulse survey, conducted by the European Commission Agency for Occupational Safety and Health (EU-OSHA) in Spring 2022. Our findings indicate that the pandemic crisis has affected workers in the EU differently, with a greater impact on self-employed individuals, women, and more educated workers, who reported higher levels of work-stress. To support this analysis, the graphical features of CUB models effectively illustrate diverse response patterns across different countries and respondent profiles. Additionally, the Gretl CUB package has been updated to allow the use of sample weights in the estimation algorithm.

Statistical Journal of the IAOSVol. 41(4)
University of the West of England (GB), Istituto Nazionale di Fisica Nucleare, Sezione di Napoli (IT), University of Naples Federico II (IT)
Openalex Percentile: Top 52%
Workplace Health and Well-being
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