The Association between Body Composition Patterns and Cardio-Cerebrovascular Disease in the UK Biobank

Motivation: The association between body composition patterns and coexistence of cardiovascular and cerebrovascular diseases (Cardio-Cerebrovascular diseases) remains elusive. Goal(s): To explore the association between body composition patterns and Cardio-Cerebrovascular diseases. Approach: We employed multivariate logistic models, restricted cubic spline methods to assess the association between body composition patterns (determined via principal component analysis) and coexisting CSVD-CHD. Results: Our findings indicate that male gender, high "trunk fat mass", and low "bone density" patterns are associated with higher risk of coexisting CSVD-CHD with gender-specific differences. Impact: These results highlight the potential of body composition management in reducing the risk of CSVD-CHD coexistence.