Multimorbidity patterns in old adults and their associated multi-layered factors: a cross-sectional study.

ABSTRACT:

Background

Influenced by various factors such as socio-demographic characteristics, behavioral lifestyles and socio-cultural environment, the multimorbidity patterns in old adults remain complex. This study aims to identify their characteristics and associated multi-layered factors based on health ecological model.

Methods

In 2019, we surveyed a total of 7480 participants aged 60+ by using a multi-stage random cluster sampling method in Shanxi province, China. Latent class analysis was used to discriminate the multimorbidity patterns in old adults, and hierarchical regression was performed to determine the multi-layered factors associated with their various multimorbidity patterns.

Results

The prevalence of multimorbidity was 34.70% among the old patients with chronic

SUBMITTER: Lu J 

PROVIDER: S-EPMC8214251 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature