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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=9735) construction workers who participated in occupational health checks between 2010 and 2013. Occupational health check variables were used as potential predictors and LBP sick leave was recorded during 1-year follow-up. The prediction model was developed with logistic regression analysis among the manual...
Predicting chronic low-back pain based on pain trajectories in patients in an occupational setting
An exploratory analysis We applied latent class growth analysis was applied in low-back pain patients in an occupational setting to determine different pain trajectories, something that has never been done before. The pain trajectories were used as outcome to evaluate a previously developed prognostic model for the development of chronic low back pain. The prediction model shows (after internal validation) a good predictive performance (AUC: 0.75). Source: Panken G, Hoekstra T, Verhagen A, van Tulder M, Twisk J, Heymans MW. Scand J Work Environ Health , 2016. http://dx.doi.org/10.5271/sjweh.3584

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