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

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 so...

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Main Authors: Micky Scharn, Allard J van der Beek, Martijn Huisman, Astrid de Wind, Maarten Lindeboom, Chris TM Elbers, Goedele A Geuskens, Cécile RL Boot
Format: Article
Language:English
Published: Nordic Association of Occupational Safety and Health (NOROSH) 2017-07-01
Series:Scandinavian Journal of Work, Environment & Health
Subjects:
Online Access: https://www.sjweh.fi/show_abstract.php?abstract_id=3649
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author Micky Scharn
Allard J van der Beek
Martijn Huisman
Astrid de Wind
Maarten Lindeboom
Chris TM Elbers
Goedele A Geuskens
Cécile RL Boot
author_facet Micky Scharn
Allard J van der Beek
Martijn Huisman
Astrid de Wind
Maarten Lindeboom
Chris TM Elbers
Goedele A Geuskens
Cécile RL Boot
author_sort Micky Scharn
collection DOAJ
description 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 (P0<.15), followed by correlations and logistic multivariate regression analyses with backward selection per block (P0<.15). All remaining factors were combined into one final model (P0<.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.
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spelling doaj.art-538d3b854de14ec198af6aadb2d273312022-12-21T22:12:13ZengNordic Association of Occupational Safety and Health (NOROSH)Scandinavian Journal of Work, Environment & Health0355-31401795-990X2017-07-0143432633610.5271/sjweh.36493649Predicting working beyond retirement in the Netherlands: an interdisciplinary approach involving occupational epidemiology and economicsMicky ScharnAllard J van der BeekMartijn HuismanAstrid de WindMaarten LindeboomChris TM ElbersGoedele A GeuskensCécile RL Boot0VU University Medical Center, Department of Public and Occupational Health, Van der Boechorststraat 7, 1081 BT Amsterdam, the Netherlands.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 (P0<.15), followed by correlations and logistic multivariate regression analyses with backward selection per block (P0<.15). All remaining factors were combined into one final model (P0<.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. https://www.sjweh.fi/show_abstract.php?abstract_id=3649 the netherlandsageingprediction modelinterdisciplinary approachoccupational epidemiologylongitudinal studyworkerretirementeconomics
spellingShingle Micky Scharn
Allard J van der Beek
Martijn Huisman
Astrid de Wind
Maarten Lindeboom
Chris TM Elbers
Goedele A Geuskens
Cécile RL Boot
Predicting working beyond retirement in the Netherlands: an interdisciplinary approach involving occupational epidemiology and economics
Scandinavian Journal of Work, Environment & Health
the netherlands
ageing
prediction model
interdisciplinary approach
occupational epidemiology
longitudinal study
worker
retirement
economics
title Predicting working beyond retirement in the Netherlands: an interdisciplinary approach involving occupational epidemiology and economics
title_full Predicting working beyond retirement in the Netherlands: an interdisciplinary approach involving occupational epidemiology and economics
title_fullStr Predicting working beyond retirement in the Netherlands: an interdisciplinary approach involving occupational epidemiology and economics
title_full_unstemmed Predicting working beyond retirement in the Netherlands: an interdisciplinary approach involving occupational epidemiology and economics
title_short Predicting working beyond retirement in the Netherlands: an interdisciplinary approach involving occupational epidemiology and economics
title_sort predicting working beyond retirement in the netherlands an interdisciplinary approach involving occupational epidemiology and economics
topic the netherlands
ageing
prediction model
interdisciplinary approach
occupational epidemiology
longitudinal study
worker
retirement
economics
url https://www.sjweh.fi/show_abstract.php?abstract_id=3649
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