ArticleBMC psychology2026
Self-disgust and its associated factors among patients with malignant lymphoma: a latent profile analysis.
Article in BMC psychology, 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
purposeTo evaluate the severity and independent predictors of self-disgust in patients with malignant lymphoma, and to develop and internally validate a clinical nomogram for personalized risk prediction.
methodsThis cross-sectional study included 200 patients with malignant lymphoma from two tertiary hospitals in Chengdu, China (January-July 2025). Self-disgust was assessed using the Questionnaire for the Assessment of Self-Disgust (QASD). Predictors were identified through a combination of LASSO regression and multivariable logistic regression analysis. A predictive nomogram was subsequently constructed and internally validated using bootstrap resampling (1,000 iterations). Model performance was evaluated based on discrimination (AUC), calibration plots, and decision curve analysis (DCA).
resultsThe median QASD score was 30.0 (interquartile range: 24.0-40.0). Multivariable logistic regression identified five independent predictors of the high self-disgust profile. Risk factors included worker status (OR = 4.16, 95% CI: 1.51-11.93, P = 0.006), greater fear of the future (OR = 1.98, 95% CI: 1.29-3.14, P = 0.002), advanced Ann Arbor stage (OR = 1.56, 95% CI: 1.17-2.11, P = 0.003), and negative coping style (OR = 1.16, 95% CI: 1.07-1.27, P < 0.001). Conversely, psychological resilience served as a significant protective factor (OR = 0.91, 95% CI: 0.87-0.96, P = 0.001). The final predictive model demonstrated satisfactory discrimination (AUC = 0.808) and explanatory power (Nagelkerke R
conclusionSelf-disgust is a prevalent psychosocial burden in lymphoma survivors, primarily associated with existential fear, occupational role disruption, and maladaptive coping. The developed exploratory nomogram provides oncology nurses with a reliable, evidence-based tool for early risk stratification, facilitating targeted, proactive psychosocial interventions to preserve patient dignity.
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