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Purpose <p>To 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.</p> Methods <p>This 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).</p> Results <p>The 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, <i>P</i> = 0.006), greater fear of the future (OR = 1.98, 95% CI: 1.29–3.14, <i>P</i> = 0.002), advanced Ann Arbor stage (OR = 1.56, 95% CI: 1.17–2.11, <i>P</i> = 0.003), and negative coping style (OR = 1.16, 95% CI: 1.07–1.27, <i>P</i> &lt; 0.001). Conversely, psychological resilience served as a significant protective factor (OR = 0.91, 95% CI: 0.87–0.96, <i>P</i> = 0.001). The final predictive model demonstrated satisfactory discrimination (AUC = 0.808) and explanatory power (Nagelkerke <i>R</i><sup>2</sup> = 0.341). The Hosmer-Lemeshow test (<i>P</i> = 0.645) and calibration curves (mean absolute error = 0.013) indicated high agreement between predicted and observed probabilities. Furthermore, decision curve analysis (DCA) confirmed the clinical utility of the nomogram.</p> Conclusion <p>Self-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.</p>

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Self-disgust and its associated factors among patients with malignant lymphoma: a latent profile analysis

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年7月6日

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  • Fang Liao,
  • Ya-ling Chen,
  • Shan-shan Zhang,
  • Yu-hang Song,
  • Zhi-ling Chen,
  • Hao Yao,
  • Hai Yi,
  • Dan Chen

摘要

Purpose

To 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.

Methods

This 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).

Results

The 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 R2 = 0.341). The Hosmer-Lemeshow test (P = 0.645) and calibration curves (mean absolute error = 0.013) indicated high agreement between predicted and observed probabilities. Furthermore, decision curve analysis (DCA) confirmed the clinical utility of the nomogram.

Conclusion

Self-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.