Development and validation of a risk prediction model for older adults with social isolation in China.

ABSTRACT:

Background

Older adults are vulnerable to social isolation due to declining physical and cognitive function, decreased interpersonal interactions, and reduced outdoor activities after retirement. This study aimed to develop and validate a predictive model to assess the risk of social isolation among older adults in China.

Methods

Using data from the 2011 China Health and Retirement Longitudinal Study (CHARLS). The study cohort was randomly divided into training and validation groups in a 70:30 ratio. We used least absolute shrinkage and selection operator (LASSO) regression analysis with tenfold cross-validation to identify optimal predictive factors and examined the correlates of social isolation using logistic regression. A nomogram was constructed for the predictive model

SUBMITTER: Li Q 

PROVIDER: S-EPMC11428333 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature