Literature DB >> 25108118

Job demands and job strain as risk factors for employee wellbeing in elderly care: an instrumental-variables analysis.

Marko Elovainio1, Tarja Heponiemi2, Hannamaria Kuusio2, Markus Jokela3, Anna-Mari Aalto2, Laura Pekkarinen2, Anja Noro2, Harriet Finne-Soveri2, Mika Kivimäki4, Timo Sinervo2.   

Abstract

BACKGROUND: The association between psychosocial work environment and employee wellbeing has repeatedly been shown. However, as environmental evaluations have typically been self-reported, the observed associations may be attributable to reporting bias.
METHODS: Applying instrumental-variable regression, we used staffing level (the ratio of staff to residents) as an unconfounded instrument for self-reported job demands and job strain to predict various indicators of wellbeing (perceived stress, psychological distress and sleeping problems) among 1525 registered nurses, practical nurses and nursing assistants working in elderly care wards.
RESULTS: In ordinary regression, higher self-reported job demands and job strain were associated with increased risk of perceived stress, psychological distress and sleeping problems. The effect estimates for the associations of these psychosocial factors with perceived stress and psychological distress were greater, but less precisely estimated, in an instrumental-variables analysis which took into account only the variation in self-reported job demands and job strain that was explained by staffing level. No association between psychosocial factors and sleeping problems was observed with the instrumental-variable analysis.
CONCLUSIONS: These results support a causal interpretation of high self-reported job demands and job strain being risk factors for employee wellbeing.
© The Author 2014. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

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Year:  2014        PMID: 25108118     DOI: 10.1093/eurpub/cku115

Source DB:  PubMed          Journal:  Eur J Public Health        ISSN: 1101-1262            Impact factor:   3.367


  7 in total

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  7 in total

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