A Dual Path Model of Work-Related Well-Being in Healthcare and Social Work Settings: The Interweaving Between Trait Emotional Intelligence, End-User Job Demands, Coworkers Related Job Resources, Burnout, and Work Engagement.

burnout healthcare path model social work trait emotional intelligence well-being work engagement

Journal

Frontiers in psychology
ISSN: 1664-1078
Titre abrégé: Front Psychol
Pays: Switzerland
ID NLM: 101550902

Informations de publication

Date de publication:
2021
Historique:
received: 28 01 2021
accepted: 24 05 2021
entrez: 19 7 2021
pubmed: 20 7 2021
medline: 20 7 2021
Statut: epublish

Résumé

Framing the job demands-resources (JD-R) model, the present study deepened how trait emotional intelligence (TEI, i.e., perception about one's own emotional realm) contributes to the work-related well-being of healthcare professionals. A total of 302 healthcare professionals were involved in the study and completed an anonymous self-report questionnaire. The results of the structural equation modeling revealed that TEI was directly and indirectly-mediated by end-user job demands-negatively associated with burnout, and directly and indirectly-mediated by coworkers related job resources- associated with work engagement. According to the health impairment and motivational processes of JD-R, the present study highlights that TEI could targets burnout and work engagement through different paths. The first path revealed that TEI would reduce burnout protecting by the insurgence harmful relationships with service end-users and the second showed that TEI would support work engagement sustaining the development of positive relationship with coworkers.

Identifiants

pubmed: 34276483
doi: 10.3389/fpsyg.2021.660035
pmc: PMC8280767
doi:

Types de publication

Journal Article

Langues

eng

Pagination

660035

Informations de copyright

Copyright © 2021 Tesi.

Déclaration de conflit d'intérêts

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Alessio Tesi (A)

Department of Information Engineering, University of Pisa, Pisa, Italy.

Classifications MeSH