Predicting working beyond retirement in the Netherlands: An interdisciplinary approach involving occupational epidemiology and economics

Micky Scharn, Allard J. van Der Beek, Martijn Huisman, Astrid de Wind, Maarten Lindeboom, Chris T.M. Elbers, Goedele A. Geuskens, Cécile R.L. Boot*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Objectives No study so far has combined register-based socioeconomic information with self-reported information on health, demographics, work characteristics, and the social environment. The aim of this study was to investigate whether socioeconomic, health, demographic, work characteristics and social environmental characteristics independently predict working beyond retirement. Methods Questionnaire data from the Study on Transitions in Employment, Ability and Motivation were linked to data from Statistics Netherlands. A prediction model was built consisting of the following blocks: socioeconomic, health, demographic, work characteristics and the social environment. First, univariate analyses were performed (P<0.15), followed by correlations and logistic multivariate regression analyses with backward selection per block (P<0.15). All remaining factors were combined into one final model (P<0.05). Results In the final model, only factors from the blocks health, work and social environmental characteristics remained. Better physical health, being intensively physically active for >2 days/week, higher body height, and working in healthcare predicted working beyond retirement. If respondents had a permanent contract or worked in handcraft, or had a partner that did not like them to work until the official retirement age, they were less likely to work beyond retirement. Conclusion Health, work characteristics and social environment predicted working beyond retirement, but register-based socioeconomic and demographic characteristics did not independently predict working beyond retirement. This study shows that working beyond retirement is multifactorial.

Original languageEnglish
Pages (from-to)326-336
Number of pages11
JournalScandinavian Journal of Work, Environment and Health
Volume43
Issue number4
DOIs
Publication statusPublished - 2017

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