ORIGINAL RESEARCH article
Front. Physiol.
Sec. Exercise Physiology
Volume 16 - 2025 | doi: 10.3389/fphys.2025.1515560
Based on Bayesian Multivariate Skewed Regression Analysis: The Interaction between Skeletal Muscle Mass and Left Ventricular Mass
Provisionally accepted
- 1Qingdao University, Qingdao, China
- 2Linyi People's Hospital, Linyi, Shandong Province, China
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Objective This study aims to investigate the association between skeletal muscle mass (SMM) and left ventricular mass (LVM), providing a basis for health management and cardiac health interventions in sarcopenic populations. Methods We conducted a retrospective analysis of participants who underwent SMM assessment at Linyi People's Hospital from January 2017 to December 2023, including a total of 278 individuals. The study employed Bayesian multivariate skewed regression analysis, incorporating ridge regression as a prior distribution to address the skewness and heavy-tailed characteristics of the LVM data. Data collection included clinical information, SMM, and cardiac function metrics. Posterior inference was conducted using Markov Chain Monte Carlo (MCMC) methods, and model convergence was assessed through Gelman-Rubin diagnostics. Results The results of ridge regression indicate that age (β=4.54, 95% CI=1. 23-7.85) and appendicular lean mass (ALM) (β=16.82, 95% CI=2.87-30.77) are significantly positively correlated with LVM. In contrast, Bayesian multivariate skewed regression analysis demonstrates that the skeletal muscle index (SMI) (β=22.22, 95% CI=2.41~39.07) exerts a significant positive effect on LVM. Additionally, locally weighted scatterplot smoothing (LOWESS) analysis reveals that LVM tends to increase with higher levels of both ALM and SMI. Conclusion This study found that skeletal muscle mass (such as ALM and SMI) is significantly associated with LVM, suggesting that there is an association between improvements in skeletal muscle and a potential positive impact on cardiac health, highlighting the importance of regional muscle mass. These findings provide new insights for cardiac health management in sarcopenic populations, indicating that there is a relationship where interventions could potentially involve enhancing ALM.
Keywords: Sarcopenia, left ventricular mass, Bayesian Multivariate Skewed Regression, Skeletal muscle mass, Skewness, heavy-tailed characteristics
Received: 07 Nov 2024; Accepted: 14 Jul 2025.
Copyright: © 2025 Liu, Lei, Liu, Guo, Wang and Cao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Zhenchao Liu, Qingdao University, Qingdao, China
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