ArticleFrontiers in public health2022
The relations between mental well-being and burnout in medical staff during the COVID-19 pandemic: A network analysis.
Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 27 citations in OpenAlex.
- A network analysis of the relationship between active health behaviors and mental health in adolescents.BMC psychology · 2026Article
- Smartphone addiction affects life satisfaction among Chinese university students: the serial mediation effects of social anxiety for social media users and mental well-being.BMC psychology · 2025Article
- A network analysis of the relationship between perceived social support, emotion regulation, and job burnout among elementary and middle school teachers.Frontiers in psychology · 2025Article
- Article
- Relationships Between Burnout and Neuroticism Among Emergency Department Nurses: A Network Analysis.Nursing open · 2024Review
- Bridging the relationship between physical exercise and mental health in adolescents based on network analysis.PsyCh journal · 2024Article
- Relationship between depression and burnout among nurses in Intensive Care units at the late stage of COVID-19: a network analysis.BMC nursing · 2024Article
- A network analysis bridging the gap between the big five personality traits and burnout among medical staff.BMC nursing · 2024Article
- Exploring the interconnections of anxiety, depression, sleep problems and health-promoting lifestyles among Chinese university students: a comprehensive network approach.Frontiers in psychiatry · 2024Article
- The effects of work-family conflict, work engagement, and job burnout on self-rated health of public health emergency responders in Jilin Province, China, in the context of the COVID-19.Frontiers in public health · 2024Article
- The Symptom Network Structure of Teachers' Burnout and Its Connection to Psychological Capital.Psychology research and behavior management · 2023Article
- The Ripple Effect: Unveiling the Bidirectional Relationship Between Negative Life Events and Depressive Symptoms in Medical Cadets.Psychology research and behavior management · 2023Article
- Identifying care problem clusters and core care problems of older adults with dementia for caregivers: a network analysis.Frontiers in public health · 2023Article
- Association of burnout with depression in pharmacists: A network analysis.Frontiers in psychiatry · 2023Article
- The relations between different components of intolerance of uncertainty and symptoms of depression during the COVID-19 pandemic: A network analysis.Frontiers in psychiatry · 2022Article
- Adjusting intervention strategies for mental health of COVID-19 patients: A network analysis based on a survey in Omicron-infected patients.Frontiers in public health · 2022Article
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
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 Results: The edges across two communities (i.e., MW community and burnout community) are almost negative, such as edge MW2 ("Useful") - B14 ("Worthwhile") and edge MW1 ("Optimistic about future") - B13 ("Happy"). The edges within each community are nearly positive. In the MW community, components MW1 ("Optimistic about future") and MW6 ("Dealing with problems") have the lowest bridge centrality. And in the community of burnout, components B13 ("Happy") and B14 ("Worthwhile") have the lowest bridge expected influence. Conclusion: We present the first study to apply the network approach to model the potential pathways between distinct components of MW and burnout. Our findings suggest that promoting optimistic attitudes and problem-solving skills may help reduce burnout among medical staff during the pandemic.
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