Work environment as predictor of long-term sickness absence: Linkage of self-reported DWECS data with the DREAM register

Burr, Hermann; Pedersen, Jacob; Hansen, Jørgen Vinsløv

doi:10.1177/1403494811401480

Cited by 52 publications

(63 citation statements)

References 24 publications

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“…This is in line with the findings of Danish DREAM studies where the associations of physical and psychosocial work factors, measured at one time point, were studied with sickness absence (15). The difference in the strength of the association between the physical and psychosocial working conditions may be due to the fact that physical working conditions are more directly associated with sickness absence as the assessment of work ability includes taking the requirements of work tasks into account.…”

Section: Discussionsupporting

confidence: 85%

Changes in working conditions and subsequent sickness absence

Saastamoinen¹,

Laaksonen²,

Lahelma

et al. 2013

Scand J Work Environ Health

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Changes in working conditions and subsequent sickness absence by Saastamoinen P, Laaksonen M, Lahelma E, Lallukka T, Pietiläinen O, Rahkonen O This study examines the association of changes in exposure to several physical working conditions with subsequent sickness absence. Original article Scand J Work Environ Health. 2014;40(1):82-88. doi:10.5271/sjweh.3379 Changes in working conditions and subsequent sickness absence Objectives The aim of the study was to examine the associations of changes in exposure to physical and psychosocial working conditions on subsequent sickness absence among ageing municipal employees of the City of Helsinki, Finland. AffiliationMethods Changes in exposure to working conditions were assessed between baseline (2000-2002) and followup (2007) surveys. Register-based sickness absence information was linked to the survey data (N=3739) and followed-up from the return of the questionnaire in 2007 to the end of 2010. The study included six measures of physical and two measures of psychosocial working conditions. Negative binomial regression analysis was used to assess the associations and adjust for covariates.Results Favorable changes in physical working conditions lowered the risk for sickness absence whereas adverse changes increased the risk. Adverse changes in psychosocial working conditions only slightly increased the risk for sickness absence whereas favorable changes were unassociated with sickness absence.Conclusions Changes in exposure to physical working conditions in particular are associated with subsequent sickness absence. Preventing an increase in exposure to both psychosocial and physical working conditions and promoting a decrease in exposure to physical working conditions likely helps reduce the risk of sickness absence.

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Section: Discussionsupporting

confidence: 85%

Changes in working conditions and subsequent sickness absence

Saastamoinen¹,

Laaksonen²,

Lahelma

et al. 2013

Scand J Work Environ Health

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“…Several studies have, for example, shown that work environmental factors, mainly physical but also psychosocial factors (Burr et al, 2011;Christensen et al, 2005;Labriola et al, 2006;Lund et al, 2006;Nielsen et al, 2006;Voss et al, 2004), lifestyle Robroek et al, 2011), and pain (Saastamoinen et al, 2009) are associated with SA. Further, some recent twin studies of the associations between socio-demography, health-related factors, pain, and DP showed that the associations seem to be independent from familial effects or influenced by those to a minor degree (Pietikäinen et al, 2011;Ropponen et al, 2011aRopponen et al, , 2011bSamuelsson et al, 2012).…”

Section: Discussionmentioning

confidence: 99%

Genetic Susceptibility to Sickness Absence is Similar Among Women and Men: Findings From a Swedish Twin Cohort

et al. 2012

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Previous studies of risk factors for sickness absence (SA) focus primarily on psychosocial and work environmental exposures. The aim of this study was to investigate the relative contribution of genetic influences on SA among women and men. The population-based study sample of Swedish twins (34,547) included 13,743 twin pairs of known zygosity, 3,495 monozygotic, 5,073 same-sexed dizygotic, and 5,175 opposite sexed. The point prevalence of long-term SA (≥15 days) in each zygosity and sex group was calculated. The risk of SA was estimated as an odds ratio (OR) with 95% confidence intervals (CI) where the odds for twins on SA to have a co-twin on SA was compared to the OR for SA in twins whose co-twin were not sickness absent. Intrapair correlations and probandwise concordance rates were calculated and standard biometrical genetic model-fitting methods were used to estimate the heritability of SA. The prevalence of SA was 8.8% (women 10.7%; men 6.5%). Intrapair similarity was higher among monozygotic than dizygotic twin pairs. The best-fitting model showed no sex differences in genetic effects or variance components contributing to SA. The heritability estimate was 36% (95% CI: 35-40%). Results suggest genetic contribution to the variation of SA and that environmental factors have an important role, for women and men. As SA seem to be influenced by genetic factors, future studies of associations between risk factors and SA should consider this potentially confounding effect.

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“…The DWECS is an open cohort study initiated in 1990 with a random sample of people, aged 18-59 years, in the Danish population. The cohort has thereafter been supplemented with young people and immigrants so as to obtain a representative cross-sectional study of ≥5000 employees every fifth year (22). The reported response rates were 80%, 75%, 60%, 62%, 66%, and 48% for DWECS 1995 (16) …”

Section: Data Materialsmentioning

confidence: 99%

Long working hours and use of psychotropic medicine: a follow-up study with register linkage

Hannerz

Albertsen²

2016

Scand J Work Environ Health

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The present study could not confirm the hypothesis that long working hours are associated with psychotropic medicine use. The statistical power was sufficient to conclude that if there is an effect from overtime work which lies within the limits of the EU Working Time Directive (41-48 hours a week) then it is too small to warrant further investigation.Affiliation: TeamArbejdsliv ApS, Høffdingsvej 22, 1th,

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Work environment as predictor of long-term sickness absence: Linkage of self-reported DWECS data with the DREAM register

Cited by 52 publications

References 24 publications

Changes in working conditions and subsequent sickness absence

Changes in working conditions and subsequent sickness absence

Genetic Susceptibility to Sickness Absence is Similar Among Women and Men: Findings From a Swedish Twin Cohort

Long working hours and use of psychotropic medicine: a follow-up study with register linkage

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