Multimorbidity patterns and influencing factors in older Chinese adults: a national population-based cross-sectional survey.

ABSTRACT:

Background

This study aims to develop specific multimorbidity relationships among the elderly and to explore the association of multidimensional factors with these relationships, thereby facilitating the formulation of personalised strategies for multimorbidity management.

Methods

Cluster analysis identified chronic conditions that tend to cluster together, and then association rule mining was used to investigate relationships within these identified clusters more closely. Stepwise logistic regression analysis was conducted to explore the relationship between influencing factors and different health statuses in older adults. The results of this study were presented by network graph visualisation.

Results

A total of 15 045 individuals were included in this study. The a

SUBMITTER: Xue X 

PROVIDER: S-EPMC11843521 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature