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

Milner, A; Butterworth, Peter; Bentley, Rebecca; Kavanagh, Anne M; LaMontagne, Anthony

Description

Sickness absence is associated with adverse health, organizational, and societal outcomes. Using data from a longitudinal cohort study of working Australians (the Household, Income and Labour Dynamics in Australia (HILDA) Survey), we examined the relationship between changes in individuals' overall psychosocial job quality and variation in sickness absence. The outcome variables were paid sickness absence (yes/no) and number of days of paid sickness absence in the past year (2005-2012). The...[Show more]

dc.contributor.authorMilner, A
dc.contributor.authorButterworth, Peter
dc.contributor.authorBentley, Rebecca
dc.contributor.authorKavanagh, Anne M
dc.contributor.authorLaMontagne, Anthony
dc.date.accessioned2015-12-10T23:36:13Z
dc.identifier.issn0002-9262
dc.identifier.urihttp://hdl.handle.net/1885/70052
dc.description.abstractSickness absence is associated with adverse health, organizational, and societal outcomes. Using data from a longitudinal cohort study of working Australians (the Household, Income and Labour Dynamics in Australia (HILDA) Survey), we examined the relationship between changes in individuals' overall psychosocial job quality and variation in sickness absence. The outcome variables were paid sickness absence (yes/no) and number of days of paid sickness absence in the past year (2005-2012). The main exposure variable was psychosocial job quality, measured using a psychosocial job quality index (levels of job control, demands and complexity, insecurity, and perceptions of unfair pay). Analysis was conducted using longitudinal fixed-effects logistic regression models and negative binomial regression models. There was a dose-response relationship between the number of psychosocial job stressors reported by an individual and the odds of paid sickness absence (1 adversity: odds ratio (OR) = 1.26, 95% confidence interval (CI): 1.09, 1.45 (P = 0.002); 2 adversities: OR = 1.28, 95% CI: 1.09, 1.51 (P = 0.002); â‰13 adversities: OR = 1.58, 95% CI: 1.29, 1.94 (P < 0.001)). The negative binomial regression models also indicated that respondents reported a greater number of days of sickness absence in response to worsening psychosocial job quality. These results suggest that workplace interventions aiming to improve the quality of work could help reduce sickness absence.
dc.publisherOxford University Press
dc.sourceAmerican Journal of Epidemiology
dc.titleSickness absence and psychosocial job quality: An analysis from a longitudinal survey of working Australians, 2005-2012
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume181
dc.date.issued2015
local.identifier.absfor111700 - PUBLIC HEALTH AND HEALTH SERVICES
local.identifier.absfor110300 - CLINICAL SCIENCES
local.identifier.ariespublicationa383154xPUB2207
local.type.statusPublished Version
local.contributor.affiliationMilner, A, The University of Melbourne
local.contributor.affiliationButterworth, Peter, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationBentley, Rebecca, University of Melbourne
local.contributor.affiliationKavanagh, Anne M, University of Melbourne
local.contributor.affiliationLaMontagne, Anthony, University of Melbourne
local.description.embargo2037-12-31
local.bibliographicCitation.issue10
local.bibliographicCitation.startpage781
local.bibliographicCitation.lastpage788
local.identifier.doi10.1093/aje/kwu355
dc.date.updated2015-12-10T11:52:10Z
local.identifier.scopusID2-s2.0-84929603356
CollectionsANU Research Publications

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