ArticleBMC public health2025
Elucidating the relationship between burnout and sleep disturbances among firefighters: a network analysis.
Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Network analysis of psychological and behavioral variables in firefighters: identification of central nodes and bridge variables.Frontiers in public health · 2026Article
- Occupational and psychosocial correlates of sleep disturbance among Chinese expatriate employees in Iraq's Maysan oilfields: a cross-sectional study using regression and network analysis.Frontiers in psychiatry · 2026Article
- The Sleep Quality of Han Chinese and Tibetan Firefighters at High Altitude: A Field Study.Nature and science of sleep · 2026Article
- Mapping Connection and Direction Among Symptoms of Sleep Disturbance and Perceived Stress in Firefighters: Embracing the Network Analysis Perspective.Nature and science of sleep · 2025Article
- Depression and daytime dysfunction centralize the fatigue-sleep cascade in island firefighters: a symptom network and Bayesian DAG study.Frontiers in psychiatry · 2025Article
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Authors and funding
12 authors.
Funding
Abstract
backgroundThere exists an intricate relationship between burnout and sleep disturbances, especially among firefighters. Network analysis offers novel perspectives for understanding the interactions of psychopathological variables. This study aims to elucidate the relationship between burnout and sleep disturbances among firefighters through network analysis.
methodsA total of 1,486 Chinese firefighters were included in this study. The Maslach Burnout Inventory-General Survey (MBI-GS) (Chinese version) and the Pittsburgh Sleep Quality Index (PSQI) were used to assess burnout and sleep disturbances among firefighters, respectively. Two network construction methodologies, the regularized partial correlation network (RPCN) and the directed acyclic graph (DAG), were employed to perform network analysis.
resultsWithin the RPCN, "Subjective sleep quality" emerged as the central domain of firefighters' burnout and sleep disturbances, as well as "Emotional exhaustion" and "Daytime dysfunction" were influential bridge domains connecting the two. From the results pertaining to the DAG, "Subjective sleep quality" was the activation domain that triggered other burnout and sleep disturbance domains, with sleep disturbances serving as the potential cause of burnout.
conclusionsOur findings offer some enlightenment into further understanding the relationship between burnout and sleep disturbances in firefighters. Furthermore, the aforementioned central, bridge, and activation domains may be potential targets for prevention and intervention.
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