Literature DB >> 31599338

A psychosocial theory of sick leave put to the test in the European Working Conditions Survey 2010-2015.

Diego Montano1.   

Abstract

PURPOSE: In the present investigation a psychosocial theory of sick leave is proposed which integrates work-related determinants, health effects of particular work characteristics, and workers' health status. In addition, the theory explicitly formulates a series of mediators and moderators of the associations between work-related determinants and sick leave. On the basis of the theoretical assumptions and previous research findings, a series of research hypotheses are investigated with survey data.
METHODS: The study is based on data from the European Working Conditions Survey 2010 and 2015 (n = 59,790). The research hypotheses are investigated by means of generalised linear mixed models within the framework of hierarchical Bayesian regression models and Markov Chain algorithms. The theory is assessed by estimating three so-called hurdle models, which take into account the excess zeros usually observed in sick leave rates.
RESULTS: In general, the findings provide evidence of the adequacy of the theory explaining the observed variation of sick-leave rates. Several biomechanical and psychosocial characteristics of the working environment, occupation, age, and the subjective assessment of health status were found to be strongly associated with both the likelihood of being in sick leave and the length of sick-leave spells.
CONCLUSIONS: The theory and the findings of the present study may serve as a basis for the development and implementation of occupational health interventions aiming to reduce sick-leave rates in organisations.

Keywords:  Absenteeism; Health behaviour; Occupational health; Psychosocial risk at work; Working conditions

Mesh:

Year:  2019        PMID: 31599338     DOI: 10.1007/s00420-019-01477-6

Source DB:  PubMed          Journal:  Int Arch Occup Environ Health        ISSN: 0340-0131            Impact factor:   3.015


  37 in total

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2.  The impact of colorectal cancer and self-efficacy beliefs on work ability and employment status: a longitudinal study.

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3.  Behavioral determinants as predictors of return to work after long-term sickness absence: an application of the theory of planned behavior.

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Journal:  J Occup Rehabil       Date:  2009-03-31

4.  Differential effects of mental and physical health and coping style on work ability: a 1-year follow-up study among aging workers.

Authors:  Hanneke van de Vijfeijke; Fenna R M Leijten; Jan Fekke Ybema; Swenne G van den Heuvel; Suzan J W Robroek; Allard J van der Beek; Alex Burdorf; Toon W Taris
Journal:  J Occup Environ Med       Date:  2013-10       Impact factor: 2.162

5.  Sickness absence and psychosocial job quality: an analysis from a longitudinal survey of working Australians, 2005-2012.

Authors:  Allison Milner; Peter Butterworth; Rebecca Bentley; Anne M Kavanagh; Anthony D LaMontagne
Journal:  Am J Epidemiol       Date:  2015-04-03       Impact factor: 4.897

6.  Psychosocial factors at work and sickness absence: results from the French national SUMER survey.

Authors:  Thomas Lesuffleur; Jean-François Chastang; Nicolas Sandret; Isabelle Niedhammer
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7.  Work-related psychosocial risk factors for long-term sick leave: a prospective study of the general working population in Norway.

Authors:  Cecilie Aagestad; Håkon A Johannessen; Tore Tynes; Hans Magne Gravseth; Tom Sterud
Journal:  J Occup Environ Med       Date:  2014-08       Impact factor: 2.162

8.  The reliability, validity, and accuracy of self-reported absenteeism from work: a meta-analysis.

Authors:  Gary Johns; Mariella Miraglia
Journal:  J Occup Health Psychol       Date:  2014-09-01

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Journal:  PLoS Med       Date:  2005-08-30       Impact factor: 11.613

Review 10.  Chemical and biological work-related risks across occupations in Europe: a review.

Authors:  Diego Montano
Journal:  J Occup Med Toxicol       Date:  2014-07-24       Impact factor: 2.646

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  3 in total

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Journal:  Int Arch Occup Environ Health       Date:  2021-03-29       Impact factor: 3.015

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  3 in total

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