Exploring the Relationship Between the Acute:Chronic Workload Ratio and Running Parameters in Elite Football Athletes
Source abstract
Abstract
In contemporary sports science, the integration of wearable inertial measurement units (IMUs) has revolutionized athlete performance monitoring, offering insights into training load management and injury risk mitigation. The acute:chronic workload ratio (ACWR) has emerged as a pivotal metric, indicating the balance between acute training stress and chronic adaptation. This study investigates the relationship between ACWR and running parameters, i.e., contact time (CT), flight time (FT), and vertical stiffness (Kvert). Data from thirty-five elite male soccer players were analyzed using the WIMU Pro system. Statistical analyses showed that CT increased with workload, with significant differences observed between athletes in the sweet spot and others in the danger zone (p < 0.05), and effect sizes (Cohen’s d) ranging from 0.28 to 0.37. Kvert values were consistently lower in athletes in the danger zone across all workload indicators (p < 0.001), with large effect sizes going up to 0.94. Conversely, FT showed no significant variation between ACWR groups. These findings suggest that elevated ACWRs may be linked to reductions in vertical stiffness, highlighting a potential increase in risk of injury. Coaches and practitioners can utilize these insights to tailor training programs, integrating load monitoring with tactical considerations to optimize athlete performance. Understanding the nuanced interplay between workload ratios and biomechanical parameters provides valuable insights for performance optimization for elite football athletes.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Sports Performance and Training · Sports injuries and prevention
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department for Life Quality Studies, University of Bologna, Corso D’Augusto 237, 47921 Rimini, Italy
Performance and Analytics Department, Parma Calcio 1913, 43124 Parma, Italy
Department of Movement, Human and Health Sciences, University of Rome “Foro Italico”, 00135 Rome, Italy
Department of Electrical, Electronic, and Information Engineering “Guglielmo Marconi”, University of Bologna, 40127 Bologna, Italy
Sport Expertise and Performance Laboratory, French National Institute of Sports (INSEP), 75012 Paris, France
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