ArticleMedicine2026
Latent profiles of workplace violence exposure and predictive modeling of sleep disorders among emergency department nurses: A nationwide cross-sectional study.
Article in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Workplace violence and sleep disorders are common among emergency department (ED) nurses, yet heterogeneity in violence exposure and its relationship with sleep disorders remains poorly understood. This nationwide cross-sectional study included 1540 Chinese ED nurses. Latent profile analysis identified violence exposure patterns, while LASSO, 7 machine learning algorithms, and SHAP were used for sleep disorder prediction and model interpretation. Three violence profiles were identified: low-level (87.0%), moderate multi-form (10.3%), and high multi-form exposure (2.7%). Sleep disorders affected 59.3% of participants. Random forest showed the highest predictive performance (ROC AUC = 0.624). SHAP analysis showed greater predictive contributions from emotional exhaustion, cynicism, and occupational characteristics than from violence exposure profiles. Workplace violence exposure among ED nurses was heterogeneous. Burnout-related and occupational characteristics provided stronger predictive information for sleep disorder status than violence profiles. External validation and longitudinal studies are needed to assess generalizability and temporal relationships.
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