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Predictors of transitions from single to multiple job holding: Results of a longitudinal study among employees aged 45‐64 in the Netherlands
Author(s) -
Bouwhuis Stef,
Geuskens Goedele A.,
Boot Cécile R. L.,
Bongers Paulien M.,
van der Beek Allard J.
Publication year - 2017
Publication title -
american journal of industrial medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.7
H-Index - 104
eISSN - 1097-0274
pISSN - 0271-3586
DOI - 10.1002/ajim.22738
Subject(s) - logistic regression , medicine , construct (python library) , demographics , ordered logit , longitudinal study , work (physics) , statistics , demography , computer science , mathematics , pathology , sociology , engineering , programming language , mechanical engineering
Objectives To construct prediction models for transitions to combination multiple job holding (MJH) (multiple jobs as an employee) and hybrid MJH (being an employee and self‐employed), among employees aged 45‐64. Methods A total of 5187 employees in the Netherlands completed online questionnaires annually between 2010 and 2013. We applied logistic regression analyses with a backward elimination strategy to construct prediction models. Results Transitions to combination MJH and hybrid MJH were best predicted by a combination of factors including: demographics, health and mastery, work characteristics, work history, skills and knowledge, social factors, and financial factors. Not having a permanent contract and a poor household financial situation predicted both transitions. Some predictors only predicted combination MJH, e.g., working part‐time, or hybrid MJH, e.g., work‐home interference. Conclusions A wide variety of factors predict combination MJH and/or hybrid MJH. The prediction model approach allowed for the identification of predictors that have not been previously studied.