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