Based on Bayesian multivariate skewed regression analysis: the interaction between skeletal muscle mass and left...

Area of Science:

• Cardiology
• Gerontology
• Musculoskeletal Health

Background:

• Sarcopenia, characterized by loss of skeletal muscle mass, is prevalent in aging populations.
• Left ventricular mass (LVM) is a critical indicator of cardiac health.
• The relationship between skeletal muscle mass (SMM) and LVM requires further investigation for effective health management.

Purpose of the Study:

• To investigate the association between SMM and LVM.
• To provide a basis for health management and cardiac health interventions in sarcopenic populations.

Main Methods:

• Retrospective analysis of 278 participants with SMM assessment.
• Bayesian multivariate skewed regression with ridge regression for LVM data.
• Markov Chain Monte Carlo (MCMC) methods for posterior inference.

Main Results:

• Age and appendicular lean mass (ALM) showed a significant positive correlation with LVM (ridge regression).
• Skeletal muscle index (SMI) significantly positively affected LVM (Bayesian multivariate skewed regression).
• LVM increased with higher levels of ALM and SMI (LOWESS analysis).

Conclusions:

• SMM (ALM, SMI) is significantly associated with LVM.
• Improvements in skeletal muscle mass may positively impact cardiac health.
• Interventions targeting ALM enhancement could benefit cardiac health in sarcopenic populations.