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A network analysis bridging the gap between the big five personality traits and burnout among medical staff.
Wang, Yifei; Wu, Lin; Liu, Chang; Li, Kuiliang; Wang, Mei; Feng, Tingwei; Wang, Qingyi; Chao, Wu; Ren, Lei; Liu, Xufeng.
Afiliação
  • Wang Y; Department of Military Medical Psychology, Air Force Medical University, 169 Street, 710032, Xi'an, China.
  • Wu L; Department of Military Medical Psychology, Air Force Medical University, 169 Street, 710032, Xi'an, China.
  • Liu C; BrainPark, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 3168, Clayton, Australia.
  • Li K; Department of Psychology, Army Medical University, 400038, Chongqing, China.
  • Wang M; Department of infectious diseases, Juxian Hospital of Traditional Chinese Medicine, Shandong Traditional Chinese Medicine University, 23 Street, 276500, Rizhao, China.
  • Feng T; Department of Military Medical Psychology, Air Force Medical University, 169 Street, 710032, Xi'an, China.
  • Wang Q; Department of Foreign Language Teaching and Research of Basic Ministry, Air Force Medical University, 169 Street, 710032, Xi'an, China.
  • Chao W; School of Nursing, Air Force Medical University, 169 Street, 710032, Xi'an, China.
  • Ren L; Military Psychology Section, Logistics University of PAP, 300309, Tianjin, China. rl_fmmu@163.com.
  • Liu X; Military Mental Health Services & Research Center, 300309, Tianjin, China. rl_fmmu@163.com.
BMC Nurs ; 23(1): 92, 2024 Feb 04.
Article em En | MEDLINE | ID: mdl-38311767
ABSTRACT

BACKGROUND:

Burnout is a common issue among medical professionals, and one of the well-studied predisposing factors is the Big Five personality traits. However, no studies have explored the relationships between these traits and burnout from a trait-to-component perspective. To understand the specific connections between each Big Five trait and burnout components, as well as the bridging effects of each trait on burnout, we employed network analysis.

METHODS:

A cluster sampling method was used to select a total of 420 Chinese medical personnel. The 15-item Chinese Big Five Personality Inventory-15 (CBF-PI-15) assessed the Big Five personality traits, while the 15-item Maslach Burnout Inventory-General Survey (MBI-GS) assessed burnout components. Network analysis was used to estimate network structure of Big Five personality traits and burnout components and calculate the bridge expected influence.

RESULTS:

The study revealed distinct and clear relationships between the Big Five personality traits and burnout components. For instance, Neuroticism was positively related to Doubt significance and Worthwhile, while Conscientiousness was negatively related to Accomplish all tasks. Among the Big Five traits, Neuroticism displayed the highest positive bridge expected influence, while Conscientiousness displayed the highest negative bridge expected influence.

CONCLUSIONS:

The network model provides a means to investigate the connections between the Big Five personality traits and burnout components among medical professionals. This study offers new avenues for thought and potential targets for burnout prevention and treatment in medical personnel, which can be further explored and tested in clinical settings.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: BMC Nurs Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: BMC Nurs Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China