Prediction models to identify workers at risk of sick leave due to low-back pain in the Dutch construction industry
Bosman, Lisa C. ; Dijkstra, Lyan ; Joling, Catelijne ; Heymans, Martijn W. ; Twisk, Jos W. ; Roelen, Corné A.M.
Scandinavian Journal of Work, Environment and Health
2018
44
2
156-162
musculoskeletal diseases ; risk assessment ; sick leave ; prediction ; methodology ; construction work
Musculoskeletal disorders (MSD)
http://dx.doi.org/10.5271/sjweh.3703
English
Bibliogr.
"This cohort study developed a prediction model based on occupational health check variables to identify non-sick listed workers at increased risk of sick leave due to low-back pain after one-year follow-up. This prediction model applies to different occupational settings, however the performance of the model is not yet sufficient for healthcare practice."
Digital
The ETUI is co-funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the ETUI.