Literature DB >> 15513654

Swedish Council on Technology Assessment in Health Care (SBU). Chapter 5. Risk factors for sick leave - general studies.

Peter Allebeck1, Arne Mastekaasa.   

Abstract

Extensive information is available from official statistics and descriptive studies on the association between different socio-demographic background factors and sickness absence. This information addresses age, gender, place of residence, and socio-economic status. However, few studies have thoroughly analysed these background factors, and rigorous scientific evidence on the causal relationship between these factors and sick leave is lacking. Regarding the family, we found no scientific evidence that marital status or children living at home were associated with sickness absence. However, we found limited scientific evidence for an effect of divorce. Regarding work-related factors, we found limited scientific evidence for an effect of physically stressful work, and moderate scientific evidence for low psychological control over the work situation. We found limited scientific evidence for a correlation in time between unemployment and sickness absence, but insufficient scientific evidence for the causes of the association. There was moderate scientific evidence that the amount of sickness absence is influenced by the design of the social insurance system, but insufficient evidence on the magnitude of change required to influence the level of sickness absence. Essentially the same results apply to disability pension, although the number of studies is small. However, we found moderate scientific evidence for the effects of socio-economic status, which could be explained partly by childhood experiences.

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Year:  2004        PMID: 15513654     DOI: 10.1080/14034950410021853

Source DB:  PubMed          Journal:  Scand J Public Health Suppl        ISSN: 1403-4948            Impact factor:   3.021


  150 in total

1.  Diagnosis-specific sick leave as a long-term predictor of disability pension: a 13-year follow-up of the GAZEL cohort study.

Authors:  K Alexanderson; M Kivimäki; J E Ferrie; H Westerlund; J Vahtera; A Singh-Manoux; M Melchior; M Zins; M Goldberg; J Head
Journal:  J Epidemiol Community Health       Date:  2011-10-14       Impact factor: 3.710

Review 2.  Work-related outcome assessment instruments.

Authors:  Achim Elfering
Journal:  Eur Spine J       Date:  2005-11-23       Impact factor: 3.134

3.  Promoting excellent work ability and preventing poor work ability: the same determinants? Results from the Swedish HAKuL study.

Authors:  P Lindberg; M Josephson; L Alfredsson; E Vingård
Journal:  Occup Environ Med       Date:  2006-02       Impact factor: 4.402

4.  Predictors of health related job loss: a two-year follow-up study in a general working population.

Authors:  Jens Peder Lind Haahr; Poul Frost; Johan Hviid Andersen
Journal:  J Occup Rehabil       Date:  2007-10-24

5.  "Inclusive Working Life" in Norway--experience from "Models of Good Practice" enterprises.

Authors:  Arve Lie
Journal:  Croat Med J       Date:  2008-08       Impact factor: 1.351

6.  Parametric hazard rate models for long-term sickness absence.

Authors:  Petra C Koopmans; Corné A M Roelen; Johan W Groothoff
Journal:  Int Arch Occup Environ Health       Date:  2008-10-21       Impact factor: 3.015

7.  Avoidable sickness absence in a Dutch working population.

Authors:  A M Kremer; R Steenbeek
Journal:  J Occup Rehabil       Date:  2010-03

8.  Productivity loss at work; health-related and work-related factors.

Authors:  Swenne G van den Heuvel; Goedele A Geuskens; Wendela E Hooftman; Lando L J Koppes; Seth N J van den Bossche
Journal:  J Occup Rehabil       Date:  2010-09

9.  Do physical activity level and body mass index predict recovery from persistent neck pain in men and women of working age? A population-based cohort study.

Authors:  E Rasmussen-Barr; T Bohman; J Hallqvist; L W Holm; E Skillgate
Journal:  Eur Spine J       Date:  2013-05-08       Impact factor: 3.134

10.  Acts of offensive behaviour and risk of long-term sickness absence in the Danish elder-care services: a prospective analysis of register-based outcomes.

Authors:  Thomas Clausen; Annie Hogh; Vilhelm Borg
Journal:  Int Arch Occup Environ Health       Date:  2011-07-19       Impact factor: 3.015

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