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 (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.

Highlights

  • ObjectivesNo study so far has combined register-based socioeconomic information with self-reported information on health, demographics, work characteristics and social environment in one study

  • In 2008, Occupational Safety and Health Research Institute (OSHRI) established a cohort based on company personnel records and national cancer registration data that could be obtained from Statistics Korea on former and current workers of six semiconductor-manufacturing factories in South Korea since 1998

  • nonHodgkin’s lymphoma (NHL) as an illness that is known to occur at a relatively old age, the prevalence of NHL among former and current semiconductor workers, occurring at a younger working age, may suggest causality based on occupation

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Summary

Objectives

No study so far has combined register-based socioeconomic information with self-reported information on health, demographics, work characteristics and social environment in one study. The aim of this study is to investigate whether socioeconomic, health, demographic, work characteristics and social environmental characteristics independently predict working beyond retirement

Methods
Results
Conclusion
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