Unknown

Dataset Information

Development of a Frailty Prediction Model Among Older Adults in China: A Cross-Sectional Analysis Using the Chinese Longitudinal Healthy Longevity Survey.


ABSTRACT:

Aims

To identify the risk factors associated with frailty among older adults in China and develop a predictive model for assessing their frailty risk.

Design

Secondary cross-sectional analysis.

Methods

The 2018 Chinese Longitudinal Healthy Longevity Survey (CLHLS) provided data for this study. A total of 9006 participants were included in the analysis. Their general demographic, socioeconomic status and health behaviour risk factors were collected in the CLHLS. Frailty was assessed using the Frailty Index. A visual nomogram model was constructed based on independent predictors identified using multivariate analysis. The nomogram's discrimination and calibration capabilities were evaluated using the C-statistics and calibration curves. A 1000-times resampling enhanced

SUBMITTER: Tang X 

PROVIDER: S-EPMC11551788 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature