Evidence map›Paper›PMID 42824177›Full record

ArticleFrontiers in public health2026

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

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

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Article in Frontiers in public health, 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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5 · Who and what money

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6 authors.

Fengping ZhangDepartment of Neurosurgery, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Jie MeiDepartment of Neurosurgery, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Chuanxi WangDepartment of Neurosurgery, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Ran DuanDepartment of Neurosurgery, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Dong SongDepartment of Neurosurgery, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Genxiao DingDepartment of Neurosurgery, Henan Provincial People's Hospital, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: 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. Methods: 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. Results: 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 ( Conclusion: 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.

Indexed as

Brain NeoplasmsGliomaResilience, PsychologicalAdultAgedAnxietyDepressionFemaleHumansLatent Class AnalysisMaleMiddle AgedQuality of LifeSocial SupportSurveys and Questionnairesanxiety and depressionbrain gliomalatent class analysispsychological resiliencequality of lifesocial support

Identifiers

PMID42824177
PMCPMC13627067

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.