ArticleFrontiers in public health2025
Network analysis of work-family support and career identity and their associations with job burnout among primary healthcare workers: a cross-sectional study.
Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Problematic generative AI use and mental health risks among Chinese university students: latent profiles, network structure, and health literacy as a modifiable resource.Frontiers in public health · 2026Article
- 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
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Authors and funding
6 authors.
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Abstract
Objective: To explore the complex associations between job burnout, career identity, and work-family support among primary healthcare workers from a network perspective. Methods: Data were sourced from primary healthcare institutions in China's central provinces. We used the Maslach Burnout Inventory Comprehensive Survey, a career identity scale tailored for primary healthcare workers, and the Chinese version of the Work-Family Support Questionnaire. A Gaussian network model was used to identify key factors, with "central nodes" being those that strongly influence others and "bridge nodes" connecting different parts of the network. Results: Of the 8,135 participants surveyed, 5,120 (62.9%) reported job burnout. Compared to those with burnout, the non-burnout group scored higher in career identity, family support, and work support (54.29 vs. 49.42; 71.58 vs. 61.26; 35.03 vs. 31.20; Conclusion: Targeting central and bridge nodes can help reduce job burnout among primary healthcare workers.
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