Literature DB >> 28560378

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

Micky Scharn1, Allard J van der Beek, Martijn Huisman, Astrid de Wind, Maarten Lindeboom, Chris Tm Elbers, Goedele A Geuskens, Cécile Rl Boot.   

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.

Entities:  

Mesh:

Year:  2017        PMID: 28560378     DOI: 10.5271/sjweh.3649

Source DB:  PubMed          Journal:  Scand J Work Environ Health        ISSN: 0355-3140            Impact factor:   5.024


  8 in total

1.  The role of personal characteristics, work environment and context in working beyond retirement: a mixed-methods study.

Authors:  G Lennart van der Zwaan; Karen M Oude Hengel; Ranu Sewdas; Astrid de Wind; Romy Steenbeek; Allard J van der Beek; Cécile R L Boot
Journal:  Int Arch Occup Environ Health       Date:  2018-12-04       Impact factor: 3.015

2.  Social relationships as predictors of extended employment beyond the pensionable age: a cohort study.

Authors:  K C Prakash; M Kauppi; M Virtanen; J Pentti; V Aalto; T Oksanen; M Kivimäki; J Vahtera; S Stenholm
Journal:  Eur J Ageing       Date:  2021-01-26

3.  Why do men extend their employment beyond pensionable age more often than women? a cohort study.

Authors:  Saana Myllyntausta; Marianna Virtanen; Jaana Pentti; Mika Kivimäki; Jussi Vahtera; Sari Stenholm
Journal:  Eur J Ageing       Date:  2021-12-05

4.  Predictors of working beyond retirement in older workers with and without a chronic disease - results from data linkage of Dutch questionnaire and registry data.

Authors:  Astrid de Wind; Micky Scharn; Goedele A Geuskens; Allard J van der Beek; Cécile R L Boot
Journal:  BMC Public Health       Date:  2018-02-17       Impact factor: 3.295

5.  Determinants of working until retirement compared to a transition to early retirement among older workers with and without chronic diseases: Results from a Dutch prospective cohort study.

Authors:  Ranu Sewdas; Allard J van der Beek; Astrid de Wind; Lennart G L van der Zwaan; Cécile R L Boot
Journal:  Scand J Public Health       Date:  2017-10-23       Impact factor: 3.021

6.  Work factors facilitating working beyond state pension age: Prospective cohort study with register follow-up.

Authors:  Lars L Andersen; Sannie V Thorsen; Mona Larsen; Emil Sundstrup; Cécile Rl Boot; Reiner Rugulies
Journal:  Scand J Work Environ Health       Date:  2020-05-28       Impact factor: 5.024

7.  Increasing labor force participation in older age requires investments in work ability.

Authors:  Mikko Laaksonen
Journal:  Scand J Work Environ Health       Date:  2020-11-27       Impact factor: 5.024

Review 8.  Indicators and determinants of the years of working life lost: a narrative review.

Authors:  Rahman Shiri; Aapo Hiilamo; Tea Lallukka
Journal:  Scand J Public Health       Date:  2021-03-01       Impact factor: 3.021

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.