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

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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Bibliographic Details
Main Authors: Tom Rosenström, Mikko Härmä, Mika Kivimäki, Jenni Ervasti, Marianna Virtanen, Tarja Hakola, Aki Koskinen, Annina Ropponen
Format: Article
Language:English
Published: Nordic Association of Occupational Safety and Health (NOROSH) 2021-07-01
Series:Scandinavian Journal of Work, Environment & Health
Subjects:
permutation distribution clustering
nurse rostering
employee scheduling
sick leave
occupational health
cohort study
shift work
sickness absence
shift worker
working hour
hospital employee
data mining
Online Access: https://www.sjweh.fi/show_abstract.php?abstract_id=3957

Internet

https://www.sjweh.fi/show_abstract.php?abstract_id=3957

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