Open AccessPatterns of working hour characteristics and risk of sickness absence among shift-working hospital employees: a data-mining cohort study
Author(s) -
Tom Rosenström,
Mikko Härmä,
Mika Kivimäki,
Jenni Ervasti,
Marianna Virtanen,
Tarja Hakola,
Aki Koskinen,
Annina Ropponen
Publication year - 2021
Publication title -
scandinavian journal of work, environment and health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.621
H-Index - 103
eISSN - 1795-990X
pISSN - 0355-3140
DOI - 10.5271/sjweh.3957
Subject(s) - evening , demography , shift work , confidence interval , medicine , workload , work (physics) , names of the days of the week , cohort , statistics , mathematics , computer science , engineering , mechanical engineering , linguistics , physics , philosophy , astronomy , psychiatry , sociology , operating system
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).