2026-04-19T18:48:37Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/52732024-05-17T07:50:54Zcom_10259_5498com_10259_5086com_10259_2604com_10259_5501col_10259_5499col_10259_5502

García Herrero, Susana López García, José Ramón Herrera, Sixto Fontaneda González, Ignacio Muñoz Bascones, Sonia Mariscal Saldaña, Miguel Ángel 2020-04-16T19:35:39Z 2020-04-16T19:35:39Z 2017-11 2314-6133 http://hdl.handle.net/10259/5273 10.1155/2017/4673047 2314-6141 Healthcare professionals undergo high levels of occupational stress as a result of their working conditions. Thus, the aim of this study is to develop a model that focuses on healthcare professionals so as to analyze the influence that job demands, control, social support, and recognition have on the likelihood that a worker will experience stress.The data collected correspond to 2,211 healthcare workers from 35 countries, as reported in the sixth EuropeanWorking Condition Survey (EWCS). The results obtained fromthis study allowus to infer stress under severalworking condition scenarios and to identify themore relevant variables in order to reduce this stress in healthcare professionals, which is of paramount importance to managing the stress of workers in this sector. The Bayesian network proposed indicates that emotional demands have a greater influence on raising the likelihood of stress due to workload than do family demands. The results show that the support of colleagues, in general, has less effect on reducing stress than social support from superiors. Furthermore, the sensitivity analysis shows that, in high-demand and low-control situations, recognition clearly impacts stress, drastically reducing it. eng http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Atribución 4.0 Internacional The Influence of Recognition and Social Support on European Health Professionals’ Occupational Stress: A Demands-Control-Social Support-Recognition Bayesian Network Model info:eu-repo/semantics/article