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...
- Autores:
-
García-Herrero, Susana
Mariscal-Saldaña, Miguel Ángel
López-Perea, Eva María
Quiroz-Flores, Martha Felicitas
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2016
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/60594
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/60594
http://bdigital.unal.edu.co/58926/
- Palabra clave:
- 62 Ingeniería y operaciones afines / Engineering
stress
demand
control
social support
bayesian networks
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
Summary: | 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. |
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