Beyond hypertrophy: a network physiology perspective on the cardio-neuromuscular trade-off in elite soccer.

IF 3
Frontiers in network physiology Pub Date : 2026-02-13 eCollection Date: 2026-01-01 DOI:10.3389/fnetp.2026.1741770
Zacharias Papadakis, Nikolaos Koutlianos, Vassilios Panoutsakopoulos, Evangelia Kouidi
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Abstract

Introduction: Conventional models treat cardiovascular and neuromuscular adaptations as independent, which can hide interference between endurance and power. We investigated whether cardiac remodeling is associated with peak explosive power when adaptation is considered as an integrated system.

Methods: Nineteen male Super League soccer players completed two-dimensional echocardiography to quantify left ventricular mass index (LVMI) and performed a fifteen-repetition vertical jump test. We adjusted variables for body size and training years, then estimated a partial-correlation network with a Gaussian graphical model and ran sensitivity and subgroup checks.

Results: The developed network was sparse and stable. A selective inverse association linked LVMI with maximal jump height (partial correlation -0.41), supported by a complementary Bayesian analysis (Bayes factor 5.70). Neuromuscular variables formed a tight positive cluster, and LVMI did not show negative coupling with other jump metrics, indicating a specific rather than global trade-off.

Discussion: In elite players, a cardiac phenotype consistent with endurance support coincided with constrained peak explosive output when the system was analyzed as a whole. An interdependent network view clarifies interference patterns and points to targeted monitoring and periodization strategies for high-performance sport.

超越肥厚:精英足球中心脏-神经-肌肉权衡的网络生理学视角。
传统模型认为心血管和神经肌肉的适应是独立的,这可以隐藏耐力和力量之间的干扰。我们研究了当适应性被视为一个综合系统时,心脏重构是否与峰值爆发力有关。方法:19名男性中超足球运动员完成二维超声心动图定量左心室质量指数(LVMI),并进行15次重复垂直跳跃测试。我们调整了身体尺寸和训练年限的变量,然后用高斯图形模型估计了部分相关网络,并进行了灵敏度和亚组检查。结果:发育的网络稀疏、稳定。LVMI与最大跳跃高度呈选择性负相关(偏相关-0.41),互补贝叶斯分析(Bayes factor 5.70)支持这一结果。神经肌肉变量形成紧密的正簇,LVMI与其他跳跃指标没有负耦合,表明存在特定的而非全局的权衡。讨论:在精英运动员中,当系统作为一个整体进行分析时,与耐力支持一致的心脏表型与受限的峰值爆发量相一致。相互依赖的网络观点澄清了干扰模式,并指出了针对高性能运动的有针对性的监测和分期策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
2.70
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