Predicting Future Mobility Limitation in Older Adults: A Machine Learning Analysis of Health ABC Study Data.

ABSTRACT:

Background

Mobility limitation in older adults is common and associated with poor health outcomes and loss of independence. Identification of at-risk individuals remains challenging because of time-consuming clinical assessments and limitations of statistical models for dynamic outcomes over time. Therefore, we aimed to develop machine learning models for predicting future mobility limitation in older adults using repeated measures data.

Methods

We used annual assessments over 9 years of follow-up from the Health, Aging, and Body Composition study to model mobility limitation, defined as self-report of any difficulty walking a quarter mile or climbing 10 steps. We considered 46 predictors, including demographics, lifestyle, chronic conditions, and physical function. With a s

SUBMITTER: Speiser JL 

PROVIDER: S-EPMC9071470 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature