Predicting long-term sickness absence among employees with frequent sickness absence
Author:
Publisher
Springer Science and Business Media LLC
Subject
Public Health, Environmental and Occupational Health
Link
http://link.springer.com/content/pdf/10.1007/s00420-018-1384-6.pdf
Reference33 articles.
1. Airaksinen J, Jokela M, Virtanen M, Oksanen T, Koskenvuo M, Pentti J, Vahtera J, Kivimäki M (2018) Prediction of long-term absence due to sickness in employees. Scand J Work Environ Health 44:274–282
2. Bakker AB, Demerouti E (2007) The job demands-resources model: state of the art. J Manag Psychol 22:309–328
3. Bakker AB, Demerouti E, Schaufeli WB (2002) Validation of the Maslach Burnout Inventory—general survey: an internet study. Anxiety Stress Coping 15:245–260
4. Bakker AB, Demerouti E, Boer de E, Schaufeli WB (2003) Job demands and job resources as predictors of absence duration and frequency. J Vocat Behav 62:341–356
5. Boot CRL, van Drongelen A, Wolbers I, Hlobil H, van der Beek AJ, Smid T (2017) Prediction of long-term and frequent sickness absence using company data. Occup Med 67:176–181
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