Evaluation of the validity of job exposure matrix for psychosocial factors at work.

<h4>Objective</h4>To study the performance of a developed job exposure matrix (JEM) for the assessment of psychosocial factors at work in terms of accuracy, possible misclassification bias and predictive ability to detect known associations with depression and low back pain (LBP).<h4&...

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Autores principales:	Svetlana Solovieva, Tiina Pensola, Johanna Kausto, Rahman Shiri, Markku Heliövaara, Alex Burdorf, Kirsti Husgafvel-Pursiainen, Eira Viikari-Juntura
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2014
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/8d63c907cd4a4de19c84fdfc7aa43fe3
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spelling	oai:doaj.org-article:8d63c907cd4a4de19c84fdfc7aa43fe32021-11-25T05:58:44ZEvaluation of the validity of job exposure matrix for psychosocial factors at work.1932-620310.1371/journal.pone.0108987https://doaj.org/article/8d63c907cd4a4de19c84fdfc7aa43fe32014-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0108987https://doaj.org/toc/1932-6203<h4>Objective</h4>To study the performance of a developed job exposure matrix (JEM) for the assessment of psychosocial factors at work in terms of accuracy, possible misclassification bias and predictive ability to detect known associations with depression and low back pain (LBP).<h4>Materials and methods</h4>We utilized two large population surveys (the Health 2000 Study and the Finnish Work and Health Surveys), one to construct the JEM and another to test matrix performance. In the first study, information on job demands, job control, monotonous work and social support at work was collected via face-to-face interviews. Job strain was operationalized based on job demands and job control using quadrant approach. In the second study, the sensitivity and specificity were estimated applying a Bayesian approach. The magnitude of misclassification error was examined by calculating the biased odds ratios as a function of the sensitivity and specificity of the JEM and fixed true prevalence and odds ratios. Finally, we adjusted for misclassification error the observed associations between JEM measures and selected health outcomes.<h4>Results</h4>The matrix showed a good accuracy for job control and job strain, while its performance for other exposures was relatively low. Without correction for exposure misclassification, the JEM was able to detect the association between job strain and depression in men and between monotonous work and LBP in both genders.<h4>Conclusions</h4>Our results suggest that JEM more accurately identifies occupations with low control and high strain than those with high demands or low social support. Overall, the present JEM is a useful source of job-level psychosocial exposures in epidemiological studies lacking individual-level exposure information. Furthermore, we showed the applicability of a Bayesian approach in the evaluation of the performance of the JEM in a situation where, in practice, no gold standard of exposure assessment exists.Svetlana SolovievaTiina PensolaJohanna KaustoRahman ShiriMarkku HeliövaaraAlex BurdorfKirsti Husgafvel-PursiainenEira Viikari-JunturaPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 9, p e108987 (2014)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Svetlana Solovieva Tiina Pensola Johanna Kausto Rahman Shiri Markku Heliövaara Alex Burdorf Kirsti Husgafvel-Pursiainen Eira Viikari-Juntura Evaluation of the validity of job exposure matrix for psychosocial factors at work.
description	<h4>Objective</h4>To study the performance of a developed job exposure matrix (JEM) for the assessment of psychosocial factors at work in terms of accuracy, possible misclassification bias and predictive ability to detect known associations with depression and low back pain (LBP).<h4>Materials and methods</h4>We utilized two large population surveys (the Health 2000 Study and the Finnish Work and Health Surveys), one to construct the JEM and another to test matrix performance. In the first study, information on job demands, job control, monotonous work and social support at work was collected via face-to-face interviews. Job strain was operationalized based on job demands and job control using quadrant approach. In the second study, the sensitivity and specificity were estimated applying a Bayesian approach. The magnitude of misclassification error was examined by calculating the biased odds ratios as a function of the sensitivity and specificity of the JEM and fixed true prevalence and odds ratios. Finally, we adjusted for misclassification error the observed associations between JEM measures and selected health outcomes.<h4>Results</h4>The matrix showed a good accuracy for job control and job strain, while its performance for other exposures was relatively low. Without correction for exposure misclassification, the JEM was able to detect the association between job strain and depression in men and between monotonous work and LBP in both genders.<h4>Conclusions</h4>Our results suggest that JEM more accurately identifies occupations with low control and high strain than those with high demands or low social support. Overall, the present JEM is a useful source of job-level psychosocial exposures in epidemiological studies lacking individual-level exposure information. Furthermore, we showed the applicability of a Bayesian approach in the evaluation of the performance of the JEM in a situation where, in practice, no gold standard of exposure assessment exists.
format	article
author	Svetlana Solovieva Tiina Pensola Johanna Kausto Rahman Shiri Markku Heliövaara Alex Burdorf Kirsti Husgafvel-Pursiainen Eira Viikari-Juntura
author_facet	Svetlana Solovieva Tiina Pensola Johanna Kausto Rahman Shiri Markku Heliövaara Alex Burdorf Kirsti Husgafvel-Pursiainen Eira Viikari-Juntura
author_sort	Svetlana Solovieva
title	Evaluation of the validity of job exposure matrix for psychosocial factors at work.
title_short	Evaluation of the validity of job exposure matrix for psychosocial factors at work.
title_full	Evaluation of the validity of job exposure matrix for psychosocial factors at work.
title_fullStr	Evaluation of the validity of job exposure matrix for psychosocial factors at work.
title_full_unstemmed	Evaluation of the validity of job exposure matrix for psychosocial factors at work.
title_sort	evaluation of the validity of job exposure matrix for psychosocial factors at work.
publisher	Public Library of Science (PLoS)
publishDate	2014
url	https://doaj.org/article/8d63c907cd4a4de19c84fdfc7aa43fe3
work_keys_str_mv	AT svetlanasolovieva evaluationofthevalidityofjobexposurematrixforpsychosocialfactorsatwork AT tiinapensola evaluationofthevalidityofjobexposurematrixforpsychosocialfactorsatwork AT johannakausto evaluationofthevalidityofjobexposurematrixforpsychosocialfactorsatwork AT rahmanshiri evaluationofthevalidityofjobexposurematrixforpsychosocialfactorsatwork AT markkuheliovaara evaluationofthevalidityofjobexposurematrixforpsychosocialfactorsatwork AT alexburdorf evaluationofthevalidityofjobexposurematrixforpsychosocialfactorsatwork AT kirstihusgafvelpursiainen evaluationofthevalidityofjobexposurematrixforpsychosocialfactorsatwork AT eiraviikarijuntura evaluationofthevalidityofjobexposurematrixforpsychosocialfactorsatwork
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Evaluation of the validity of job exposure matrix for psychosocial factors at work.

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