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...

Full description

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
Description
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.