Sex-Specific Associations Between Dynapenia and Risk of Atherosclerotic Cardiovascular Disease: A Machine-Learning-Based Approach.

ABSTRACT: Background/Objectives: Dynapenia, age-associated loss in muscle strength, is an emerging risk factor for atherosclerotic cardiovascular disease (ASCVD), which may have different effects depending on sex. This study aims to investigate the association between dynapenia and ASCVD risk, evaluate its predictive significance among traditional factors, and explore sex-specific patterns through machine learning models. Methods: This retrospective case-control study uses data from 19,582 participants aged 40-79 from the Korean National Health and Nutrition Examination Survey (KNHANES). ASCVD risk is assessed using the American College of Cardiology/American Heart Association 10-year risk algorithm, with dynapenia defined based on hand grip strength. Multivariable logistic regression

SUBMITTER: Lee G 

PROVIDER: S-EPMC11942907 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature