Validity of a job-exposure matrix for psychosocial job stressors: results from the household income and labour dynamics in Australia survey Milner, A, Niedhammer, I, Chastang, J-F, Spittal, MJ and LaMontagne, AD 2016, Validity of a job-exposure matrix for psychosocial job stressors: results from the household income and labour dynamics in Australia survey, PLoS one, vol. 11, no. 4, pp. 1-13, doi: 10.1371/journal.pone.0152980. Attached Files Name Description MIMEType Size Downloads milner-validityofajob-2016.pdf Published version application/pdf 341.01KB 44 Title Validity of a job-exposure matrix for psychosocial job stressors: results from the household income and labour dynamics in Australia survey Author(s) Milner, A orcid.org/0000-0003-4657-0503 Niedhammer, I Chastang, J-F Spittal, MJ LaMontagne, AD orcid.org/0000-0002-5811-5906 Journal name PLoS one Volume number 11 Issue number 4 Article ID e0152980 Start page 1 End page 13 Total pages 13 Publisher Public Library of Science Place of publication San Francisco, Calif. Publication date 2016-04-06 ISSN 1932-6203 Keyword(s) Adult Australia Female Humans Income Male Middle Aged Occupational Diseases Stress, Psychological Surveys and Questionnaires Young Adult Science & Technology Multidisciplinary Sciences Work environment Mental health Cardiovascular mortality Summary Introduction A Job Exposure Matrix (JEM) for psychosocial job stressors allows assessment of these exposures at a population level. JEMs are particularly useful in situations when information on psychosocial job stressors were not collected individually and can help eliminate the biases that may be present in individual self-report accounts. This research paper describes the development of a JEM in the Australian context. Methods The Household Income Labour Dynamics in Australia (HILDA) survey was used to construct a JEM for job control, job demands and complexity, job insecurity, and fairness of pay. Population median values of these variables for all employed people (n = 20,428) were used to define individual exposures across the period 2001 to 2012. The JEM was calculated for the Australian and New Zealand Standard Classification of Occupations (ANZSCO) at the four-digit level, which represents 358 occupations. Both continuous and binary exposures to job stressors were calculated at the 4-digit level. We assessed concordance between the JEM-assigned and individually-reported exposures using the Kappa statistic, sensitivity and specificity assessments. We conducted regression analysis using mental health as an outcome measure. Results Kappa statistics indicate good agreement between individually-reported and JEM-assigned dichotomous measures for job demands and control, and moderate agreement for job insecurity and fairness of pay. Job control, job demands and security had the highest sensitivity, while specificity was relatively high for the four exposures. Regression analysis shows that most individually reported and JEM measures were significantly associated with mental health, and individually-reported exposures produced much stronger effects on mental health than the JEM-assigned exposures. Discussion These JEM-based estimates of stressors exposure provide a conservative proxy for individual-level data, and can be applied to a range of health and organisational outcomes. Language eng DOI 10.1371/journal.pone.0152980 Field of Research MD Multidisciplinary Socio Economic Objective 0 Not Applicable HERDC Research category C1.1 Refereed article in a scholarly journal Copyright notice ©2016, Milner et al Free to Read? Yes Use Rights Persistent URL http://hdl.handle.net/10536/DRO/DU:30084639 Document type: Journal Article Collections: Faculty of Health School of Health and Social Development Open Access Collection Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Mon, 04 Jul 2016, 13:06:19 EST Mon, 04 Jul 2016, 13:50:12 EST Mon, 04 Jul 2016, 14:56:32 EST Tue, 01 Aug 2017, 14:08:54 EST Tue, 01 Aug 2017, 14:12:40 EST Tue, 01 Aug 2017, 14:13:21 EST Tue, 01 Aug 2017, 15:42:52 EST Thu, 14 Sep 2017, 06:04:29 EST Thu, 14 Sep 2017, 12:37:57 EST Fri, 07 Sep 2018, 12:45:25 EST Filtered Full Citation counts:   Cited 7 times in TR Web of Science Cited 7 times in Scopus Search Google Scholar Access Statistics: 228 Abstract Views, 47 File Downloads  -  Detailed Statistics Created: Mon, 04 Jul 2016, 13:06:19 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.