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Objective <p>To explore the heterogeneous typing characteristics of physical-mental symptoms in stroke patients during the recovery phase based on latent class analysis (LCA) and identify their influencing factors.</p> Methods <p>A&#xa0;cross-sectional study was conducted, enrolling stroke patients in the recovery phase from April to August 2025 in a&#xa0;neurology hospital. Assessments included general information, the Stroke Symptom Experience, Psychological Resilience, and Social Support Scales. LCA was employed to classify patients based on physical-mental symptoms, and logistic regression analysis was used to examine influencing factors across latent classes.</p> Results <p>A&#xa0;total of 298 patients were included in the study. Three latent classes were identified: C1 group (high symptom prevalence, low cognitive impairment, high psychological symptoms, 27.2%); C2 group (low symptom prevalence, low cognitive impairment, low psychological symptoms, 26.2%); C3 group (high symptom prevalence, high cognitive impairment, high psychological symptoms, 46.6%). Multivariate analysis revealed that age, stroke type, lesion location, and social support were significant influencing factors for symptom experience classification.</p> Conclusions <p>Stroke patients in the recovery phase exhibit significant heterogeneity in physical-mental symptoms, which can be categorized into three latent classes. The classification is influenced by age, stroke type, lesion location, and social support. This study offers new insights into developing individualized rehabilitation strategies based on traditional Chinese medicine (TCM) theory of “simultaneous regulation of body and mind.”</p>

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Heterogeneous typing of physical-mental symptoms in stroke patients during recovery phase based on latent class analysis and influencing factors

  • 期刊论文

  • 发表日期：

    2026年1月22日

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  • Li Cao,
  • Rui Song,
  • Bingying Zhai,
  • Zihan Zhang,
  • Xiao Zhang,
  • Yuying Hao

摘要

Objective

To explore the heterogeneous typing characteristics of physical-mental symptoms in stroke patients during the recovery phase based on latent class analysis (LCA) and identify their influencing factors.

Methods

A cross-sectional study was conducted, enrolling stroke patients in the recovery phase from April to August 2025 in a neurology hospital. Assessments included general information, the Stroke Symptom Experience, Psychological Resilience, and Social Support Scales. LCA was employed to classify patients based on physical-mental symptoms, and logistic regression analysis was used to examine influencing factors across latent classes.

Results

A total of 298 patients were included in the study. Three latent classes were identified: C1 group (high symptom prevalence, low cognitive impairment, high psychological symptoms, 27.2%); C2 group (low symptom prevalence, low cognitive impairment, low psychological symptoms, 26.2%); C3 group (high symptom prevalence, high cognitive impairment, high psychological symptoms, 46.6%). Multivariate analysis revealed that age, stroke type, lesion location, and social support were significant influencing factors for symptom experience classification.

Conclusions

Stroke patients in the recovery phase exhibit significant heterogeneity in physical-mental symptoms, which can be categorized into three latent classes. The classification is influenced by age, stroke type, lesion location, and social support. This study offers new insights into developing individualized rehabilitation strategies based on traditional Chinese medicine (TCM) theory of “simultaneous regulation of body and mind.”