- Data, Statistics and AI for Well-Being of People and Organisations
- A cura di Luigi Fabbris, Alberto Franci, Pietro Renzi
Work-related stress risk assessment in research institutes: A case study results from the Italian National Institute of Statistics
- Michele Camisasca
- Eva Pietrantonio
- Rosario Magro
- Anna Fabiani
- Alessandro Arborea
- Claudio Giordano
- Marcella Pietrantonio
- Massimo Cerri
- Adeodato Sparano
- © 2026 Author(s) |
- CC BY 4.0
- DOI: 10.36253/979-12-215-1062-1.19
Work-related stress is an impactful occupational health challenge, affecting both individual well-being and organisational efficiency. This study presents a work-related stress risk assessment carried out at the Italian National Institute of Statistics (Istat) that has approximately 2,000 employees located in different offices. The analysis has identified the main stress indicators through sentinel events and content and context factors, by using the Inail Checklist methodology. For the study, an innovative bottom-up approach was adopted, involving employees in evaluating and suggesting improvement measures. The results indicate a general low level of work-related stress risk, with some areas requiring focused interventions, in particular regarding career progressions, task planning and decision-making autonomy. Despite the low-risk levels, Istat introduced organisational improvements to enhance employees’ well-being. This research demonstrates that even in low-risk conditions, a structured and participatory approach to stress assessment can lead to substantial and relevant enhancements in the workplace. The results provide valuable insights into managing psychosocial risks in research institutions, contributing to a broader understanding of occupational health and well-being strategies.
- Keywords:
- work-related stress,
- occupational health,
- risk assessment,
- employee well-being,
- psychosocial risks,
ISTAT, Italian National Institute of Statistics, Italy
ISTAT, Italian National Institute of Statistics, Italy
ISTAT, Italian National Institute of Statistics, Italy
ISTAT, Italian National Institute of Statistics, Italy
ISTAT, Italian National Institute of Statistics, Italy
ISTAT, Italian National Institute of Statistics, Italy
ISTAT, Italian National Institute of Statistics, Italy
ISTAT, Italian National Institute of Statistics, Italy
ISTAT, Italian National Institute of Statistics, Italy
- Camisasca, M., Violante, A., Pietrantonio, E., Magro, R., Fabiani, A., Arborea, A., Giordano, C. (2025). Analisi e valutazione del rischio stress lavoro correlato per il miglioramento dell’organizzazione del lavoro in un ente pubblico di ricerca. Studi Organizzativi, 2, pp. 100-127. DOI: 10.3280/so2024-002005
- Camisasca, M., Pietrantonio, E., Magro, R., Arborea, A., Fabiani, A., Giordano, C., Pietrantonio, M., Guerriero, G., Sparano, A. (2023). Psychosocial risks: work-related stress risk assessment in Istat as a goal for the workers’ well-being. Rivista Italiana di Economia, Demografia e Statistica, 77(4), pp. 181-191. DOI: 10.71014/sieds.v77i4.238
- Inail (2017). The Methodology for the Assessment and Management of Work-Related Stress Risk. Handbook for Companies in Compliance with Legislative Decree 81/08 and Subsequent Integrations and Modifications. Medicine, Epidemiology, Occupational and Environmental Hygiene Department.
- Persechino, B., Valenti, A., Ronchetti, M., Rondinone, B.M., Di Tecco, C., Vitali, S., Iavicoli, S. (2013). Work-related stress risk assessment in Italy: a methodological proposal adapted to regulatory guidelines. Safety and Health at Work, 4(2), pp. 95-99. DOI: 10.1016/j.shaw.2013.05.002
Informazioni sul capitolo
Titolo del capitolo
Work-related stress risk assessment in research institutes: A case study results from the Italian National Institute of Statistics
Autori
Michele Camisasca, Eva Pietrantonio, Rosario Magro, Anna Fabiani, Alessandro Arborea, Claudio Giordano, Marcella Pietrantonio, Massimo Cerri, Adeodato Sparano
Lingua
Inglese
DOI
10.36253/979-12-215-1062-1.19
Opera sottoposta a peer review
Anno di pubblicazione
2026
Copyright
© 2026 Author(s)
Licenza d'uso
Licenza dei metadati
Informazioni bibliografiche
Titolo del libro
Data, Statistics and AI for Well-Being of People and Organisations
Curatori
Luigi Fabbris, Alberto Franci, Pietro Renzi
Opera sottoposta a peer review
Numero di pagine
420
Anno di pubblicazione
2026
Copyright
© 2026 Author(s)
Licenza d'uso
Licenza dei metadati
Editore
Firenze University Press
DOI
10.36253/979-12-215-1062-1
ISBN Print
979-12-215-1061-4
eISBN (pdf)
979-12-215-1062-1
eISBN (xml)
979-12-215-1063-8
Collana
Applied Statistics Series