PURPOSE: Many workers have been dismissed in the past few years, either becoming unemployed or finding re-employment. The current study examined whether dismissal and its follow-up for the employee (re-employment versus unemployment) could be predicted from workers' employment contract and age, and their health status, work ability, work performance, work satisfaction and employee investments at baseline. METHODS: Our sample comprised a selection of participants from the Netherlands Working Conditions Survey 2010 who participated in a follow-up questionnaire in 2012 (N = 2,644). We used logistic regression analyses to test our hypotheses. RESULTS: Temporary employment, low health status, low work ability, poor work performance, low work satisfaction and no employee investments in terms of training predicted future dismissal. Furthermore, older workers and workers reporting decreased work performance due to impaired health at baseline had a lower chance of re-employment after being dismissed. Interestingly, after taking into account all predictors, former temporary workers without permanent employment prospects had much better chances of re-employment after their dismissal than former permanent workers. CONCLUSIONS: Temporary, less healthy, low work ability, poor performing, dissatisfied and "under-invested" workers are at risk for dismissal, whereas older and less healthy workers are (also) at risk for long-term unemployment after being dismissed.
PURPOSE: Many workers have been dismissed in the past few years, either becoming unemployed or finding re-employment. The current study examined whether dismissal and its follow-up for the employee (re-employment versus unemployment) could be predicted from workers' employment contract and age, and their health status, work ability, work performance, work satisfaction and employee investments at baseline. METHODS: Our sample comprised a selection of participants from the Netherlands Working Conditions Survey 2010 who participated in a follow-up questionnaire in 2012 (N = 2,644). We used logistic regression analyses to test our hypotheses. RESULTS: Temporary employment, low health status, low work ability, poor work performance, low work satisfaction and no employee investments in terms of training predicted future dismissal. Furthermore, older workers and workers reporting decreased work performance due to impaired health at baseline had a lower chance of re-employment after being dismissed. Interestingly, after taking into account all predictors, former temporary workers without permanent employment prospects had much better chances of re-employment after their dismissal than former permanent workers. CONCLUSIONS: Temporary, less healthy, low work ability, poor performing, dissatisfied and "under-invested" workers are at risk for dismissal, whereas older and less healthy workers are (also) at risk for long-term unemployment after being dismissed.
Authors: Hylco H Nijp; Debby G J Beckers; Sabine A E Geurts; Philip Tucker; Michiel A J Kompier Journal: Scand J Work Environ Health Date: 2012-06-06 Impact factor: 5.024
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Authors: Pirjo Hakkarainen; Reijo Sund; Martti Arffman; Sari Koski; Vilma Hänninen; Leena Moilanen; Kimmo Räsänen Journal: BMC Public Health Date: 2017-10-12 Impact factor: 3.295