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

• المؤلفون الرئيسيون: Tom Rosenström (مؤلف), Mikko Härmä (مؤلف), Mika Kivimäki (مؤلف), Jenni Ervasti (مؤلف), Marianna Virtanen (مؤلف), Tarja Hakola (مؤلف), Aki Koskinen (مؤلف), Annina Ropponen (مؤلف)
• التنسيق: كتاب
• منشور في: Nordic Association of Occupational Safety and Health (NOROSH), 2021-07-01T00:00:00Z.
• الموضوعات: article
• الوصول للمادة أونلاين: 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...