Latent class analysis of psychological resilience in patients with brain glioma.

Authors

Fengping Zhang, Jie Mei, Chuanxi Wang, Ran Duan, Dong Song, Genxiao Ding

Published in

Frontiers in public health. Volume 14. Pages 1899386. Epub Sep 17, 2026.

Abstract

To explore the latent class characteristics of psychological resilience in patients with brain glioma, identify influencing factors, and examine differences in psychosocial indicators across latent classes.
A total of 224 patients with brain glioma hospitalized in the Department of Neurosurgery of a tertiary Grade A hospital between January 2023 and December 2024 were selected using convenience sampling. Psychological resilience, anxiety and depression, quality of life, and perceived social support were assessed using the 14-item Resilience Scale (RS-14), Hospital Anxiety and Depression Scale (HADS), European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30 (EORTC QLQ-C30), and Perceived Social Support Scale (PSSS), respectively. Latent class models were constructed using Mplus 8.3, and univariate analysis and multivariate logistic regression were performed using SPSS 26.0.
Psychological resilience in patients with brain glioma was classified into three latent classes: a low-level profile (25.0%), a moderate-level variable profile (32.6%), and a high-level profile (42.4%). Significant differences were observed among the classes in anxiety (p < 0.001), depression (p = 0.002), symptom burden (p = 0.018), global health status (p = 0.003), and family support (p = 0.018). Multivariate logistic regression analysis showed that age ≥60 years (p = 0.019), WHO grade III-IV glioma (p = 0.004), disease recurrence (p = 0.013), higher anxiety score (p < 0.001), and higher depression score (p = 0.032) were associated with a greater likelihood of belonging to a lower psychological resilience class, whereas college education or above (p = 0.027), monthly household income ≥10,000 RMB (p = 0.016), better global health status (p = 0.013), and higher family support (p = 0.018) were associated with a greater likelihood of belonging to a higher psychological resilience class.
Within this clinical sample, psychological resilience in patients with brain glioma exhibited distinct heterogeneous stratification, with systematic differences in psychological status and social support across latent classes. The identification of resilience subtypes may help clinicians recognize patients who require further psychosocial assessment and may inform the development of stratified psychological support strategies. However, prospective longitudinal and interventional studies are needed to determine whether subtype-based interventions can improve psychological adaptation.

PMID:
42824177
Bibliographic data and abstract were imported from PubMed on 02 Oct 2026.

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