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Dataset Information

The relations between mental well-being and burnout in medical staff during the COVID-19 pandemic: A network analysis


ABSTRACT:

Background

Although poor mental well-being (MW) has been documented among individuals experiencing burnout during the coronavirus-19 (COVID-19) pandemic, little is known about the complex interrelationship between different components of MW and burnout. This study investigates this relationship among medical staff during the COVID-19 pandemic through network analysis.

Methods

A total of 420 medical staff were recruited for this study. Components of MW were measured by the 14-item Warwick-Edinburgh Mental Well-being Scale (WEMWBS), and components of burnout were measured by a 15-item Maslach Burnout Inventory-General Survey (MBI-GS) Questionnaire. Network structure was constructed via network analysis. Bridge variables were identified via the bridge centrality index.

R

SUBMITTER: Chen C 

PROVIDER: S-EPMC9399609 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature

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