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

• Main Authors: Lisa C Bosman (Author), Lyan Dijkstra (Author), Catelijne I Joling (Author), Martijn W Heymans (Author), Jos WR Twisk (Author), Corné AM Roelen (Author)
• Format: Book
• Published: Nordic Association of Occupational Safety and Health (NOROSH), 2018-03-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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...