Network analysis of occupational stress and job satisfaction among radiologists.


Journal

Frontiers in public health
ISSN: 2296-2565
Titre abrégé: Front Public Health
Pays: Switzerland
ID NLM: 101616579

Informations de publication

Date de publication:
2024
Historique:
received: 03 04 2024
accepted: 06 06 2024
medline: 2 7 2024
pubmed: 2 7 2024
entrez: 2 7 2024
Statut: epublish

Résumé

Occupational stress and job satisfaction significantly impact the well-being and performance of healthcare professionals, including radiologists. Understanding the complex interplay between these factors through network analysis can provide valuable insights into intervention strategies to enhance workplace satisfaction and productivity. In this study, a convenience sampling method was used to recruit 312 radiologists for participation. Data on socio-demographic characteristics, job satisfaction measured by the Minnesota job satisfaction questionnaire revised short version (MJSQ-RSV), and occupational stress assessed using the occupational stress scale. Network analysis was employed to analyze the data in this study. The network analysis revealed intricate patterns of associations between occupational stress and job satisfaction symptoms among radiologists. Organizational management and occupational interests emerged as crucial nodes in the network, indicating strong relationships within these domains. Additionally, intrinsic satisfaction was identified as a central symptom with high connectivity in the network structure. The stability analysis demonstrated robustness in the network edges and centrality metrics, supporting the reliability of the findings. This study sheds light on the complex relationships between occupational stress and job satisfaction in radiologists, offering valuable insights for targeted interventions and support strategies to promote well-being and job satisfaction in healthcare settings.

Sections du résumé

Background UNASSIGNED
Occupational stress and job satisfaction significantly impact the well-being and performance of healthcare professionals, including radiologists. Understanding the complex interplay between these factors through network analysis can provide valuable insights into intervention strategies to enhance workplace satisfaction and productivity.
Method UNASSIGNED
In this study, a convenience sampling method was used to recruit 312 radiologists for participation. Data on socio-demographic characteristics, job satisfaction measured by the Minnesota job satisfaction questionnaire revised short version (MJSQ-RSV), and occupational stress assessed using the occupational stress scale. Network analysis was employed to analyze the data in this study.
Results UNASSIGNED
The network analysis revealed intricate patterns of associations between occupational stress and job satisfaction symptoms among radiologists. Organizational management and occupational interests emerged as crucial nodes in the network, indicating strong relationships within these domains. Additionally, intrinsic satisfaction was identified as a central symptom with high connectivity in the network structure. The stability analysis demonstrated robustness in the network edges and centrality metrics, supporting the reliability of the findings.
Conclusion UNASSIGNED
This study sheds light on the complex relationships between occupational stress and job satisfaction in radiologists, offering valuable insights for targeted interventions and support strategies to promote well-being and job satisfaction in healthcare settings.

Identifiants

pubmed: 38952733
doi: 10.3389/fpubh.2024.1411688
pmc: PMC11215115
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1411688

Informations de copyright

Copyright © 2024 Ji, He, Gong, Sheng and Ruan.

Déclaration de conflit d'intérêts

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

Auteurs

Juan Ji (J)

Department of Radiology, The First People's Hospital of Nantong, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.

Bosheng He (B)

Department of Radiology, The First People's Hospital of Nantong, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.

Shenchu Gong (S)

Department of Radiology, The First People's Hospital of Nantong, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.

Meihong Sheng (M)

Department of Radiology, The First People's Hospital of Nantong, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.

Xiwu Ruan (X)

Department of Radiology, The First People's Hospital of Nantong, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.

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Classifications MeSH