Using Compositional Data Analysis to Explore Movement Behaviors in People Who Have Experienced a Stroke

This study aimed to investigate the relationship between the composition of movement behaviors (active, sedentary, and sleep) and physical function in individuals who have experienced a stroke, using compositional data analysis (CoDA). The findings revealed that the overall composition of these behaviors was significantly associated with physical function, demonstrating that CoDA provides a more nuanced understanding compared to traditional analyses that treat these behaviors as independent. The authors suggest that comprehensive interventions targeting these movement behaviors may enhance recovery outcomes for stroke survivors.