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

Abstract

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·s−2; r = 0.46–0.61]). Sprint count (≥2 m·s−2), AccD (≥2.5 m·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·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.

Low-fat, lactose-free and leucine-enriched chocolate cow milk prototype: A preliminary study on sensorial acceptability and gastrointestinal complaints following exhaustive exercise

“…In the first visit, the athletes were characterized (weight and height) and familiarized using a standardized 90min football-match simulation protocol (FMP) [29,30]. The energetic value of the athletes' habitual intake was determined by registering their usual food diet during three consecutive days, and also including their average weekend consumption [31].…”

“…The hydration in FMP occurred with water (2 mL.kg [BW] − 1 ) every 15 min up to 75 min to ensure adequate hydration [32]. FMP was a 90-min fatiguing exercise protocol (T-SAFT 90 ) corresponding to an official football match played from audio commands [29,30]. Each player used a strap equipment component of Polar Team System® (Polar Electro Oy, Kempele, Finland).…”

External Load Variables Affect Recovery Markers up to 72 h After Semiprofessional Football Matches

“…A few studies have investigated the relationship between external load variables and recovery from football matches via muscle damage indicators in blood and neuromuscular fatigue measurements (Thorpe and Sunderland, 2012; de Hoyo et al, 2016; Russell et al, 2016; da Silva et al, 2018b). While these studies have reported associations between creatine kinase (CK) and high-intensity running distance, sprint distance, and number of sprints, between myoglobin (MYO) and number of sprints, and between countermovement jump performance (CMJ) and decelerations and accelerations, they are somewhat limited to correlation analyses with small sample sizes.…”

“…Seventy-two hours post-match is a key time-point where the next match or a hard training session may take place. Most studies have examined the relationships for only 24–48 h post-match (Thorpe and Sunderland, 2012; de Hoyo et al, 2016; Russell et al, 2016; da Silva et al, 2018b), despite evidence showing substantial changes in recovery markers at 72 h post-match (Ascensão et al, 2008; Ispirlidis et al, 2008). Additionally, due to individual differences in recovery time, some players might be recovered and some players not, hence being able to predict the recovery status on day three post-match is practically important.…”

Information technologies in training process modelling

“…Iako je u pitanju nova tehnologija, istaživanja koja su se bavila validacijom uređaja za predviđanje laktatnog praga pokazala su da ovi uređaji mogu biti pouzdan alat za predviđanje vrednosti laktatnog praga kod sportista i na osnovu toga moguće je planirati trenažna opterećenja (Perrey & Ferrari, 2011;Borges & Driller, 2016;Farzam, Starkweather, & Franceschini, 2018;). (Bayliff, Jacobson, Moghaddam, & Estrada, 2019;da Silva et al, 2018;Waldron, Twist, Highton, Worsfold, & Daniels, 2011). Kao predstavnik ove grupe uređaja mogao bi se istaći, već spomenuti OptimEye S5, kompanije Catapult Sports.…”