Synthetic indicators to analyze work-related physical and psychosocial risk factors: evidence from the European Working Conditions Survey

Stefania Capecchi (), Carmela Cappelli (), Maurizio Curtarelli () and Francesca Iorio ()
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Stefania Capecchi: University of Naples Federico II
Carmela Cappelli: University of Naples Federico II
Maurizio Curtarelli: European Agency for Safety and Health at Work
Francesca Iorio: University of Naples Federico II

Quality & Quantity: International Journal of Methodology, 2023, vol. 57, issue 6, No 36, 5713-5735

Abstract: Abstract 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.

Keywords: Self-assessed health; Well-being; Psychosocial risks; Physical risks; Working conditions (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11135-023-01617-8

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