Monitoring of liver and kidney profiles in anesthesiologists working in a regional reference teaching hospital in Northern Italy: analysis of health surveillance data using a linear mixed model
Health surveillance data, aggregated and analyzed with appropriate statistical models, allow inferences to be made about potential health effects of workers due to uncontrolled exposures. To this end, the linear mixed model represents a powerful tool for longitudinal analysis of data derived from monitoring workers. Int J Occup Med Environ Health. 2024;37(5):557-68.
Authors
- Alfredo Montecucco (ORCID: https://orcid.org/0000-0002-2611-7878)
- Alborz Rahmani (ORCID: https://orcid.org/0000-0002-1335-046X)
- Alessia Manca (ORCID: https://orcid.org/0000-0001-6713-5514)
- Guglielmo Dini (ORCID: https://orcid.org/0000-0002-0497-4879)
- Bruno Kusznir Vitturi (ORCID: https://orcid.org/0000-0002-2821-9042)
- Michelle Leonetti
- Paolo Durando (ORCID: https://orcid.org/0000-0001-5047-5176)
- Luca Priano (ORCID: https://orcid.org/0009-0008-6980-2622)
Institutions
- Martin University (US)
- Ospedale Policlinico San Martino (IT)
- University of Genoa (IT)
Publication Details
- Journal
- International Journal of Occupational Medicine and Environmental Health
- Published
- 2024-11-28
- DOI
- https://doi.org/10.13075/ijomeh.1896.02342
- Citations
- 1
- Primary Topic
- Global Health Care Issues
- Type
- article
- Field-Weighted Citation Impact
- 0.85