Influence of demand, control and social support on job stress. Analysis by employment status from the V European working conditions survey
Work stress increasingly affects many workers from different countries. Conditions such as high demand, low social support and low job control are considered predictors of increased stress. With data obtained from the V European Working Conditions Survey (EWCS) a Bayesian network model was made. It...
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Universidad Nacional de Colombia
2016-01-01
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doaj-1a1134c2e2b548e68fbf3539630698022020-11-24T21:22:27ZengUniversidad Nacional de Colombia Dyna0012-73532346-21832016-01-0183195526010.15446/dyna.v83n195.4788942490Influence of demand, control and social support on job stress. Analysis by employment status from the V European working conditions surveySusana García-Herrero0Miguel Ángel Mariscal-Saldaña1Eva María López-Perea2Martha Felicitas Quiroz-Flores3UNIVERSIDAD DE BURGOS, ESPAÑAUNIVERSIDAD DE BURGOS, ESPAÑAUNIVERSIDAD DE BURGOSInstituto Tecnologico de Toluca, MéxicoWork stress increasingly affects many workers from different countries. Conditions such as high demand, low social support and low job control are considered predictors of increased stress. With data obtained from the V European Working Conditions Survey (EWCS) a Bayesian network model was made. It provides information on the levels of stress in relation to model demand-control-social support (DCS), differentiating into work situations as they are, self-employed, private and public. To deepen understanding of the interrelationships between these variables sensitivity analysis of individual and overall were performed to check the DCS model assumptions. This model applied in the V EWCS identified the variations and similarities between different work situations, proving that having low levels of demand, together with control and high social support, the likelihood of stress decreases.https://revistas.unal.edu.co/index.php/dyna/article/view/47889stressdemandcontrolsocial supportbayesian networks |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Susana García-Herrero Miguel Ángel Mariscal-Saldaña Eva María López-Perea Martha Felicitas Quiroz-Flores |
spellingShingle |
Susana García-Herrero Miguel Ángel Mariscal-Saldaña Eva María López-Perea Martha Felicitas Quiroz-Flores Influence of demand, control and social support on job stress. Analysis by employment status from the V European working conditions survey Dyna stress demand control social support bayesian networks |
author_facet |
Susana García-Herrero Miguel Ángel Mariscal-Saldaña Eva María López-Perea Martha Felicitas Quiroz-Flores |
author_sort |
Susana García-Herrero |
title |
Influence of demand, control and social support on job stress. Analysis by employment status from the V European working conditions survey |
title_short |
Influence of demand, control and social support on job stress. Analysis by employment status from the V European working conditions survey |
title_full |
Influence of demand, control and social support on job stress. Analysis by employment status from the V European working conditions survey |
title_fullStr |
Influence of demand, control and social support on job stress. Analysis by employment status from the V European working conditions survey |
title_full_unstemmed |
Influence of demand, control and social support on job stress. Analysis by employment status from the V European working conditions survey |
title_sort |
influence of demand, control and social support on job stress. analysis by employment status from the v european working conditions survey |
publisher |
Universidad Nacional de Colombia |
series |
Dyna |
issn |
0012-7353 2346-2183 |
publishDate |
2016-01-01 |
description |
Work stress increasingly affects many workers from different countries. Conditions such as high demand, low social support and low job control are considered predictors of increased stress. With data obtained from the V European Working Conditions Survey (EWCS) a Bayesian network model was made. It provides information on the levels of stress in relation to model demand-control-social support (DCS), differentiating into work situations as they are, self-employed, private and public. To deepen understanding of the interrelationships between these variables sensitivity analysis of individual and overall were performed to check the DCS model assumptions. This model applied in the V EWCS identified the variations and similarities between different work situations, proving that having low levels of demand, together with control and high social support, the likelihood of stress decreases. |
topic |
stress demand control social support bayesian networks |
url |
https://revistas.unal.edu.co/index.php/dyna/article/view/47889 |
work_keys_str_mv |
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