Development and validation of a risk prediction model for mild cognitive impairment in older Chinese adults with chronic diseases.

ABSTRACT:

Background

As the population continues to age, the prevalence of mild cognitive impairment (MCI) has increased steadily. Studies have shown that older adults with chronic diseases are more likely to develop MCI than those without chronic conditions, suggesting that chronic diseases may play a significant role in the onset of MCI. Therefore, this study is designed to develop a predictive model for MCI among older individuals with chronic diseases in China and to identify the major factors influencing the occurrence of MCI.

Method

The training and internal validation data are from the 2018 China Health and Retirement Longitudinal Study (CHARLS), using retrospective data with 4,712 older adults with chronic diseases. The external validation data are from the General Hospital of

SUBMITTER: Yan L 

PROVIDER: S-EPMC12831458 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature