HM Hasselhorn NEXT-Quebec, 09 2008 “Investigating the association of ‘influence at work’ and...

HM Hasselhorn NEXT-Quebec, 09 2008

“Investigating the association of ‘influence at work’ and ‘work ability’ in different age groups”

Results from the European NEXT-Study

Hans Martin HasselhornBernd H. MüllerSascha Schmidt

and the NEXT-Study Group

NEXT was funded by the European Commission QLK6-CT-2001-00475

NEXT-Study GroupEuropean co-ordination

Hans Martin HasselhornBernd Hans MüllerFB D – Safety EngineeringUniversity of Wuppertal Gauss-Strasse 20D 42097 Wuppertal, GermanyEmail: [email protected] Internet: www.next-study.net

University of Wuppertal

International Workshop on postponing ageing"Contemporary Problems of Prolonging Work Ability"

9th-10th of October, 2008. Tallinn


investigating ‘work & age‘

• …

• age specific exposure?

• age specific constructs?

• age specific relevance of constructs?

• age specific reaction patterns?

• …

‘influence at work’ vs. ‘work ability’


Baltes „SOK-Model“ for ‘successful ageing at work‘

(Baltes, 2007)

selective

optimization with

compensationHypotheses:1. Construct ‘influence’ is related to work ability2. association is higher for older workers3. association only when health is low


The NEXT-Study:..

10 participating

countries FIN

S

UK NL

B

PL D

SK

F

I


• 11 countries• 623 institutions • 56,406 participants• 18,796 multiple responses• 40 scientists• 14 research institutions

The NEXT-Study2002-2005


• Data source– NEXT Basic assessment 2002/3, N=39898

• Participants– Registered Nurses in hospitals with valid responses– N=19.789, 9 countries (BE, DE, FIN, FR, IT, NL, POL, SLK, UK)

• Outcomes– ‘Influence at work’: modified DCM Scale, NEXT, 2003– Work Ability: Work Ability Index, WAI– General Health

low health = 0 to 60 (n=8196, 41.4%) moderate health = >60 to <80 (n=6.295, 31.8%)good health = 80 to 100 (n=5.307, 26.8%).

• Method– Lin. Regression (adj. for country)– Correlation coefficients


participants

Age Influence at work(0=low, 100=max.)

General health

(0=lowest, 100=best)

Work Ability

(WAI)(7=lowest, 49=max.)

n Mean Mean Mean Mean

Belgium 1.759 36.5 50.2 68.4 39.1

Finland 1.714 40.8 42.0 69.2 40.5

France 2.217 38.2 52.8 64.1 38.4

Germany 2.331 37.0 51.9 65.3 38.1

Italy 3.119 37.5 51.0 65.8 39.7

Netherlands 2.367 37.0 54.4 71.3 41.7

Poland 2.878 37.5 46.0 55.5 37.6

Slovakia 1.741 38.0 45.1 56.6 39.7

UK 1.672 39.8 55.9 66.3 39.6

ALL 19.798 37.9 50.0 64.5 39.3


association influence with WAIby AGE GROUP and HEALTH

0,16 0,17

0,12 0,110,13

0,18

0,000,020,040,060,080,100,120,140,160,180,20

18+ 30+ 45+ low medium good

Age group Health

beta

coe

ffici

ent


0,16 0,17

0,12 0,110,13

0,18

0,000,020,040,060,080,100,120,140,160,180,20

18+ 30+ 45+ low medium good

Age group Health

beta

coe

ffici

ent

association influence with WAIby AGE GROUP and HEALTH


0,11

0,140,16

0,10

0,13 0,12

0,15 0,15

0,12

0,00

0,02

0,04

0,06

0,08

0,10

0,12

0,14

0,16

0,18

18+ 30+ 45+ 18+ 30+ 45+ 18+ 30+ 45+

low health medium health good health

be

ta c

oe

ffici

en

tassociation influence with WAIby AGE GROUP and HEALTH


Cross country validation

of findings


discussion & conclusion

DISCUSSION• hypotheses confirmed per se• surprising: functioning for old age group only• but:LIMITATIONS• selection effect: older remaining nurses have

higher positions and more influence?• low degree of association influence with WAI• results dependent on level of exposure and

degree of variance• cross sectional and self report• reversed causation?


discussion & conclusion

CONCLUSION• influence might be one core concept in the aging

working population• to be considered when promoting and maintaining

work ability among older workers• but we acknowledge a number of limitations!

• findings may encourage further research focusing on psychosocial work factors of specific relevance for older workers


The NEXT-Consortium

1. University of Wuppertal, Hans-Martin Hasselhorn, Bernd Hans Müller, Peter Tackenberg, Angelika Kümmerling, Michel Simon, Jörg Wittenberg

2. Karolinska Institutet, Stockholm, Malin Josephson, Per Lindberg, Eva Vingård

3. Private University of Witten, Andreas Büscher, Steffi Stelzig4. FIOSH, Dortmund, Karl Kuhn, Beate Beermann5. UCL, Brussels, Sabine Stordeur, William D’hoore6. FIOH, Turku, Marjukka Laine, Gustav Wickström, Juhani Ilmarinen7. APHP, Paris, Madeleine Estryn Behar, Olivier Nezet, Claire Charton, Jean-

Francois Caillard8. University of Milan, Donatella Camerino, Paul Conway, Alberto Bertazzi9. University of Twente, Beate van der Heijden, Esther van der Schoot10. NCSR, London / Edinburgh, Simon Anderson11. City University, London, Dinah Gould, Marina Fontenla 12. CIOP, Warszaw, Maria Widerszal-Bazyl, Pjotr Radkiewicz13. Jagiellonian University Krakow, Janusz Pokorski, Joanna Pokorska,

Halszka Oginska, Ewa Pietsch14. P.J. Safarik University Kosice, Maria Kovarova, Alzbeta Hanzlikova,

Marian Rimarcik, Marek Jurkovic

D

S

DDBFINF

I

NL

UKUKPLPL

SLK


NEXT – nurses‘ early exit study

more results:

www.next-study.netNEXT-Study groujpEuropean Coordination

Hans-Martin HasselhornBernd Hans MüllerFB D – Safety Enginerring Div. of ErgonomicsUniversity of Wuppertal Gauss-Straße 20D-42097 Wuppertal, GermanyEmail: [email protected] Internet: www.next-study.net

Bergische UniversitätWuppertal

HM Hasselhorn NEXT-Quebec, 09 2008 “Investigating the association of ‘influence at work’ and...

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