Development and validation of a depression risk prediction model for middle-aged and elderly adults with sensory impairment: Evidence from the China health and retirement longitudinal study.

ABSTRACT:

Objective

Compared with those without such impairment, middle-aged and older adults with sensory impairment (SI) demonstrate a greater prevalence and severity of depressive symptoms, significantly affecting their mental health. We aimed to develop and validate a depression risk prediction model for middle-aged and elderly individuals with SI.

Methods

Data from the 2018 China Health and Retirement Longitudinal Study were randomly partitioned into training and validation sets at a 7:3 ratio. Within the training set, least absolute shrinkage and selection operator (LASSO) regression analysis and binary logistic regression were used to identify predictor variables, and a risk prediction column‒line graph was subsequently developed, with depression status among middle-aged and el

SUBMITTER: Qin M 

PROVIDER: S-EPMC12453246 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature