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

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