Frailty Risk Prediction Model among Older Adults: A Chinese Nation-Wide Cross-Sectional Study.

ABSTRACT:

Objectives

Numerous studies have been performed on frailty, but rarely do studies explore the integrated impact of socio-demographic, behavioural and social support factors on frailty. This study aims to establish a comprehensive frailty risk prediction model including multiple risk factors.

Methods

The 2018 wave of the Chinese Longevity and Health Longitudinal Survey was used. Univariate and multivariate logistic regressions were performed to identify the relationship between frailty and multiple risk factors and establish the frailty risk prediction model. A nomogram was utilized to illustrate the prediction model. The area under the receiver operating characteristic curve (AUC), Hosmer-Lemeshow test and calibration curve were used to appraise the prediction model.

Resu

SUBMITTER: Li S 

PROVIDER: S-EPMC9322778 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature