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Dataset Information

A network analysis bridging the gap between the big five personality traits and burnout among medical staff.


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 es

SUBMITTER: Wang Y 

PROVIDER: S-EPMC10838458 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature