Heymans MW - Search Results

1

The development and validation of two prediction models to identify employees at risk of high sickness absence.

Roelen CA, van Rhenen W, Groothoff JW, van der Klink JJ, Bültmann U, Heymans MW. Roelen CA, et al. Among authors: heymans mw. Eur J Public Health. 2013 Feb;23(1):128-33. doi: 10.1093/eurpub/cks036. Epub 2012 Apr 25. Eur J Public Health. 2013. PMID: 22539631

2

Updating and prospective validation of a prognostic model for high sickness absence.

Roelen CA, Heymans MW, Twisk JW, van Rhenen W, Pallesen S, Bjorvatn B, Moen BE, Magerøy N. Roelen CA, et al. Among authors: heymans mw. Int Arch Occup Environ Health. 2015 Jan;88(1):113-22. doi: 10.1007/s00420-014-0942-9. Epub 2014 Mar 25. Int Arch Occup Environ Health. 2015. PMID: 24664456

3

Multicentre validation of frequent sickness absence predictions.

Roelen CA, Bultmann U, Stapelfeldt CM, Jensen C, Heymans MW. Roelen CA, et al. Among authors: heymans mw. Occup Med (Lond). 2016 Jan;66(1):69-71. doi: 10.1093/occmed/kqv133. Epub 2015 Sep 26. Occup Med (Lond). 2016. PMID: 26409052

4

Fatigue as prognostic risk marker of mental sickness absence in white collar employees.

Roelen CA, Heymans MW, van Rhenen W, Groothoff JW, Twisk JW, Bültmann U. Roelen CA, et al. Among authors: heymans mw. J Occup Rehabil. 2014 Jun;24(2):307-15. doi: 10.1007/s10926-013-9458-5. J Occup Rehabil. 2014. PMID: 23821309

5

External validation of two prediction models identifying employees at risk of high sickness absence: cohort study with 1-year follow-up.

Roelen CA, Bültmann U, van Rhenen W, van der Klink JJ, Twisk JW, Heymans MW. Roelen CA, et al. Among authors: heymans mw. BMC Public Health. 2013 Feb 5;13:105. doi: 10.1186/1471-2458-13-105. BMC Public Health. 2013. PMID: 23379546 Free PMC article.

6

Cross-national validation of prognostic models predicting sickness absence and the added value of work environment variables.

Roelen CA, Stapelfeldt CM, Heymans MW, van Rhenen W, Labriola M, Nielsen CV, Bültmann U, Jensen C. Roelen CA, et al. Among authors: heymans mw. J Occup Rehabil. 2015 Jun;25(2):279-87. doi: 10.1007/s10926-014-9536-3. J Occup Rehabil. 2015. PMID: 25134514

7

Screening manual and office workers for risk of long-term sickness absence: cut-off points for the Work Ability Index.

Schouten LS, Joling CI, van der Gulden JW, Heymans MW, Bültmann U, Roelen CA. Schouten LS, et al. Among authors: heymans mw. Scand J Work Environ Health. 2015 Jan;41(1):36-42. doi: 10.5271/sjweh.3465. Epub 2014 Oct 27. Scand J Work Environ Health. 2015. PMID: 25347710 Free article.

8

Health measures in prediction models for high sickness absence: single-item self-rated health versus multi-item SF-12.

Roelen CA, Heymans MW, Twisk JW, Laaksonen M, Pallesen S, Magerøy N, Moen BE, Bjorvatn B. Roelen CA, et al. Among authors: heymans mw. Eur J Public Health. 2015 Aug;25(4):668-72. doi: 10.1093/eurpub/cku192. Epub 2014 Dec 1. Eur J Public Health. 2015. PMID: 25465915

9

Re: Amelsvoort et al. "Approaches for predicting long-term sickness absence".

Schouten LS, Joling CI, van der Gulden JW, Heymans MW, Bültmann U, Roelen CA. Schouten LS, et al. Among authors: heymans mw. Scand J Work Environ Health. 2015 May 1;41(3):324. doi: 10.5271/sjweh.3481. Epub 2015 Feb 10. Scand J Work Environ Health. 2015. PMID: 25668342 Free article.

10

Risk reclassification analysis investigating the added value of fatigue to sickness absence predictions.

Roelen CA, Bültmann U, Groothoff JW, Twisk JW, Heymans MW. Roelen CA, et al. Among authors: heymans mw. Int Arch Occup Environ Health. 2015 Nov;88(8):1069-75. doi: 10.1007/s00420-015-1032-3. Epub 2015 Feb 22. Int Arch Occup Environ Health. 2015. PMID: 25702173 Free PMC article.

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