Prediction models to identify workers at risk of sick leave due to low-back pain in the Dutch construction industry

Prediction models to identify workers at risk of sick leave due to low-back pain in the Dutch construction industry

OBJECTIVE: The aim of this study was to develop a prediction model based on variables measured in occupational health checks to identify non-sick listed workers at risk of sick leave due to non-specific low-back pain (LBP). METHODS: This cohort study comprised manual (N=22 648) and non-manual (N=973...

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Bibliographic Details
Main Authors: Lisa C Bosman, Lyan Dijkstra, Catelijne I Joling, Martijn W Heymans, Jos WR Twisk, Corné AM Roelen
Format: Article
Language:English
Published: Nordic Association of Occupational Safety and Health (NOROSH) 2018-03-01
Series:Scandinavian Journal of Work, Environment & Health
Subjects:
risk assessment
absenteeism
pain
musculoskeletal disease
construction industry
prediction model
prognostic research
roc analysis
low-back pain
sick leave
construction
worker
Online Access: https://www.sjweh.fi/show_abstract.php?abstract_id=3703

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https://www.sjweh.fi/show_abstract.php?abstract_id=3703

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