Factors associated with frailty status compared to pre-frailty in community-dwelling older adults: a cross-sectional study.

ABSTRACT:

Objective

To identify factors distinguishing frail from pre-frail status in community-dwelling older adults and construct a risk prediction model with logistic regression as the primary method to identify independent risk factors, and a neural network as a supplementary approach to explore complex relationships.

Methods

The FRAIL Frailty Screening Scale was used to screen adults aged 65 and above meeting inclusion criteria for pre-frailty and frailty. A cross-sectional survey collected basic information and disease status, while scales assessed nutritional risk, sarcopenia, and activities of daily living (ADL), alongside physical measurements. Binary logistic regression was used as the primary method to identify factors associated with frailty status. A multi-layer perceptro

SUBMITTER: Li W 

PROVIDER: S-EPMC12846931 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature