4.4 Article

Muscle Damage-Based Recovery Strategies Can Be Supported by Predictive Capacity of Specific Global Positioning System Accelerometry Parameters Immediately a Post-Soccer Match-Load

期刊

JOURNAL OF STRENGTH AND CONDITIONING RESEARCH
卷 35, 期 5, 页码 1410-1418

出版社

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1519/JSC.0000000000002922

关键词

external load; prediction; athlete management; time-motion analysis; fatigue

资金

  1. Coordination of Improvement of Higher Level Personnel - Brazil (CAPES) [001]
  2. State Department of Sport of Minas Gerais (SEESP- MG) through the State Act of Incentive to Sports
  3. FAPEMIG
  4. CNPQ
  5. FUNARBE
  6. Dean's Office for Graduate and Research Studies
  7. Center of Life and Health Sciences from the Federal University of Vicosa, Brazil

向作者/读者索取更多资源

The study found that only the average speed parameter can predict the changes in serum creatine kinase levels post soccer match, providing practical application for making decisions on post-game recovery. Other global positioning system accelerometry parameters and subjective variables did not show significant correlation.
da Silva, CD, Machado, G, Fernandes, AA, Teoldo, I, Pimenta, EM, Marins, JCB, and Garcia, ES. Muscle damage-based recovery strategies can be supported by predictive capacity of specific global positioning system accelerometry parameters immediately after soccer match-load. J Strength Cond Res 35(5): 1410-1418, 2021-Soccer match-load can be linked to recovery kinetic markers. However, match variability hinders the magnitude of relationship between parameters of interest. Therefore, we examined the correlation between 21 global positioning system accelerometry (GPS-A) parameters and changes in serum creatine kinase (CK) concentrations, muscle soreness (MS), and perceptive recovery quality (PRQ) assessed at baseline (1 h before) and post (0 minute, 2, 4, and 24 hours) a standardized 90-minute match-simulation in 20 university players. Global positioning system accelerometry (15 Hz) data were tested as manufacturer and configurable thresholds. Four GPS-A parameters showed moderate to very large correlations with CK changes at all time points (average speed [avgSP, r = 0.75 to r = 0.84]; running symmetry foot strikes [RSfst, r = 0.53-0.63]; running series [RunS, r = 0.53-0.61]; and acceleration distance [AccD >= 1.5 m center dot s(-2); r = 0.46-0.61]). Sprint count (>= 2 m center dot s(-2)), AccD (>= 2.5 m center dot s(-2)) and speed exertion (SpEx) had a moderate to large correlation (r = 0.46-0.56) with CK changes from 2 to 24 hours. Changes in MS at 0 minute had large correlation with avgSP (r = 0.53) and moderate with deceleration distance (>=-2 and >=-3 m center dot s(-2); r = 0.47, r = 0.48, respectively). The PRQ changes had moderate inverse correlation with avgSP at 0 minute (r = -0.39) and SpEx at 2 h (r = -0.69). Our results suggest that during a simulated soccer protocol with a standard workload, only the avgSP has practical application for predicting CK changes over 24 hours, allowing for a decision-making toward a postgame recovery based on previously known CK cutoff points. Global positioning system accelerometry parameters and subjective variables did not demonstrate relevant correlation.

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