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The Influence of Recognition and Social Support on European Health Professionals' Occupational Stress: A Demands-Control-Social Support-Recognition Bayesian Network Model.

Abstract 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 European Working Condition Survey (EWCS). The results obtained from this study allow us to infer stress under several working condition scenarios and to identify the more 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.
PMID
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Authors

Mayor MeshTerms

Models, Psychological

Occupational Health

Recognition (Psychology)

Social Support

Keywords
Journal Title biomed research international
Publication Year Start




PMID- 29250540
OWN - NLM
STAT- MEDLINE
DCOM- 20180129
LR  - 20180129
IS  - 2314-6141 (Electronic)
VI  - 2017
DP  - 2017
TI  - The Influence of Recognition and Social Support on European Health Professionals'
      Occupational Stress: A Demands-Control-Social Support-Recognition Bayesian
      Network Model.
PG  - 4673047
LID - 10.1155/2017/4673047 [doi]
AB  - 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 European Working Condition
      Survey (EWCS). The results obtained from this study allow us to infer stress
      under several working condition scenarios and to identify the more 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.
FAU - Garcia-Herrero, Susana
AU  - Garcia-Herrero S
AUID- ORCID: 0000-0002-8061-9537
AD  - Escuela Politecnica Superior, University of Burgos, Avda. Cantabria s/n, 09006
      Burgos, Spain.
FAU - Lopez-Garcia, Jose R
AU  - Lopez-Garcia JR
AD  - Escuela Politecnica Superior, University of Burgos, Avda. Cantabria s/n, 09006
      Burgos, Spain.
FAU - Herrera, Sixto
AU  - Herrera S
AD  - Department of Applied Mathematics and Computer Sciences, University of Cantabria,
      Santander, Spain.
FAU - Fontaneda, Ignacio
AU  - Fontaneda I
AD  - Escuela Politecnica Superior, University of Burgos, Avda. Cantabria s/n, 09006
      Burgos, Spain.
FAU - Bascones, Sonia Munoz
AU  - Bascones SM
AD  - Escuela Politecnica Superior, University of Burgos, Avda. Cantabria s/n, 09006
      Burgos, Spain.
FAU - Mariscal, Miguel A
AU  - Mariscal MA
AD  - Escuela Politecnica Superior, University of Burgos, Avda. Cantabria s/n, 09006
      Burgos, Spain.
LA  - eng
PT  - Journal Article
DEP - 20171109
PL  - United States
TA  - Biomed Res Int
JT  - BioMed research international
JID - 101600173
SB  - IM
MH  - Adult
MH  - Bayes Theorem
MH  - Female
MH  - Health Personnel/*psychology
MH  - Humans
MH  - Male
MH  - Middle Aged
MH  - *Models, Psychological
MH  - *Occupational Health
MH  - Occupational Stress/*psychology
MH  - *Recognition (Psychology)
MH  - *Social Support
MH  - Surveys and Questionnaires
MH  - Workload
PMC - PMC5700549
EDAT- 2017/12/19 06:00
MHDA- 2018/01/30 06:00
CRDT- 2017/12/19 06:00
PHST- 2017/06/02 00:00 [received]
PHST- 2017/09/11 00:00 [revised]
PHST- 2017/10/03 00:00 [accepted]
PHST- 2017/12/19 06:00 [entrez]
PHST- 2017/12/19 06:00 [pubmed]
PHST- 2018/01/30 06:00 [medline]
AID - 10.1155/2017/4673047 [doi]
PST - ppublish
SO  - Biomed Res Int. 2017;2017:4673047. doi: 10.1155/2017/4673047. Epub 2017 Nov 9.