Patterns of Pain in Middle-Aged and Older Adults in China: A Latent Class Analysis.

ABSTRACT:

Introduction

Chronic pain is a leading global cause of disability in aging populations, yet pain distribution patterns among middle-aged and older adults in China remain uncharacterized. Using latent class analysis (LCA), this study identified distinct pain location patterns and their associations with cognitive impairment, depressive symptoms, and functional limitations.

Methods

A cross-sectional analysis of 9544 participants from the CHARLS 2020 database was conducted. LCA categorized pain patterns, and multivariate logistic regression examined influencing factors and associations with cognitive impairment, depressive symptoms, and activities of daily living (ADL) impairment. Model fit was optimized via AIC/BIC and entropy/posterior probabilities (> 0.8).

Results

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SUBMITTER: Zhu C 

PROVIDER: S-EPMC12634983 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature