Patterns of working hour characteristics and risk of sickness absence among shift-working hospital employees: a data-mining cohort study

OBJECTIVES: Data mining can complement traditional hypothesis-based approaches in characterizing unhealthy work exposures. We used it to derive a hypothesis-free characterization of working hour patterns in shift work and their associations with sickness absence (SA). METHODS: In this prospective co...

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Detalles Bibliográficos
Autores principales: Rosenström, Tom, Härmä, Mikko, Kivimäki, Mika, Ervasti, Jenni, Virtanen, Marianna, Hakola, Tarja, Koskinen, Aki, Ropponen, Annina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nordic Association of Occupational Safety and Health 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8259704/
https://www.ncbi.nlm.nih.gov/pubmed/33971014
http://dx.doi.org/10.5271/sjweh.3957

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8259704/
https://www.ncbi.nlm.nih.gov/pubmed/33971014
http://dx.doi.org/10.5271/sjweh.3957

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