Author: Bosman LC

Original article 2018;44(2):156-162   pdf full text
Prediction models to identify workers at risk of sick leave due to low-back pain in the Dutch construction industry

Bosman LC, Dijkstra L, Joling CI, Heymans MW, Twisk JWR, Roelen CAM

Subscribe to email alerts

Latest @SJWEH tweets

• SJWEH @SJWEH - 23.10.2019 
  Study from Denmark examines the validity of job titles and occupational codes in job exposure matrices using Danish… https://t.co/aktF1O8JVc
• SJWEH Retweeted EU-OSHA @EU_OSHA - 23.10.2019 
  Wood dust, solvents, fumes and nanoparticles are just a few of the #DangerousSubstances, workers in many sectors ar… https://t.co/XykzkdrZy2
• SJWEH @SJWEH - 22.10.2019 
  In 2020, #openaccess will be by opt-out only. Support #openscience in #OSH, publish with @SJWEH - the non-commercia… https://t.co/uhDG0Od4Dt
• SJWEH @SJWEH - 22.10.2019 
  General population job exposure matrices (JEM) are useful tools to estimate workplace physical exposures. Comparing… https://t.co/5f6aSQxHQp

SJWEH on Facebook