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

• Main Authors: Tom Rosenström (Author), Mikko Härmä (Author), Mika Kivimäki (Author), Jenni Ervasti (Author), Marianna Virtanen (Author), Tarja Hakola (Author), Aki Koskinen (Author), Annina Ropponen (Author)
• Format: Book
• Published: Nordic Association of Occupational Safety and Health (NOROSH), 2021-07-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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...