Latent class analysis of oral symptoms in stroke patients and exploration of associated.

ABSTRACT:

Objectives

This study aims to identify the potential categories of oral symptoms in stroke patients and to explore their associated influencing factors.

Methods

A convenience sampling method was employed to collect demographic and oral symptom data from hospitalized stroke patients admitted to the neurology and neurosurgery departments of a tertiary hospital in Guiyang, Guizhou Province, between January 2025 and March 2025. Latent class analysis was applied to classify oral symptoms, and univariate analysis along with multivariate logistic regression was conducted to identify factors associated with each class.

Results

Three distinct classes of oral symptoms were identified: Structural and Masticatory Dysfunction (21.8%), Oral Mucosal Lesions (34.6%), and Poor Oral Hy

SUBMITTER: Zhu H 

PROVIDER: S-EPMC12532395 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature