Seasonal Changes and Relationships in Training Loads, Neuromuscular Performance, and Recovery and Stress State in Competitive Female Soccer Players

Ishida, Ai; Bazyler, Caleb D.; Sayers, Adam L.; Stone, Michael H.; Gentles, Jeremy A.

doi:10.3389/fspor.2021.757253

Cited by 6 publications

(8 citation statements)

References 43 publications

(98 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…3 To minimize the negative aspects of training, clinicians have begun relying on wearable devices to capture internal and external training loads. [4][5][6][7] These measures aid in predicting injury 1,[6][7][8] and performance capabilities, 5 in addition to having impacts on athlete wellness measures. [9][10][11] Tracking training loads is now extremely clinically feasible, 4,12,13 however, there are numerous methods of tracking training loads, such as global positioning systems, 10,12,14 heart rate monitors, 6,15,16 and accelerometers.…”

Section: Introductionmentioning

confidence: 99%

Training Load and Current Soreness Predict Future Delayed Onset Muscle Soreness in Collegiate Female Soccer Athletes

Pexa,

Johnston,

Taylor

et al. 2023

International Journal of Sports Physical Therapy

View full text Add to dashboard Cite

Background Delayed onset muscles soreness (DOMS) is an indication of muscle stress and trauma that develops from excessive musculoskeletal loads. Musculoskeletal loads can be measured with wearable devices, but there is limited research on specific training load metrics that most correlate with DOMS after activity. Purpose To determine the predictive capabilities of training load variables on the development of lower extremity DOMS in female collegiate soccer athletes throughout an entire season. Study Design Prospective Cohort Methods Twenty-seven collegiate female soccer athletes reported their lower extremity DOMS each day prior to all soccer activity. Participants wore Polar heart rate and global positioning monitors to capture training load measures. Pearson correlation coefficients were used to assess the relationships between the training load variables and change in DOMS when collapsed across dates. Separate linear mixed models were performed with the following day’s DOMS as the outcome variable, training load and the current day’s DOMS as predictor variables, and participants serving as random intercepts. Results All training load variables significantly predicted change in DOMS, with number of decelerations (ρ=0.72, p <0.001), minutes spent at greater than 80% of maximum heart rate (HRmax) (ρ=0.71 , p <0.001), and distance (ρ=0.70 , p <0.001) best correlating with change in DOMS. Linear mixed models revealed a significant interaction of all training load and current day’s DOMS on the following day’s DOMS (p<0.001), but number of decelerations, HRmax, and total number of accelerations demonstrated the highest coefficient of determination (R2 marginal=33.2% - 29.2% , R2 conditional= 46.9% - 44.8%). Conclusions Training load variables paired with the current day’s DOMS significantly predict lower extremity DOMS in the future, with number of decelerations, accelerations, and HRmax best predicting future DOMS. Although this demonstrates that training load variables predict lower extremity DOMS, future research should incorporate objective measures of strength or jump kinetics to identify if similar relationships exist. Level of Evidence Level 3

show abstract

Section: Introductionmentioning

confidence: 99%

Training Load and Current Soreness Predict Future Delayed Onset Muscle Soreness in Collegiate Female Soccer Athletes

Pexa,

Johnston,

Taylor

et al. 2023

International Journal of Sports Physical Therapy

View full text Add to dashboard Cite

show abstract

“…More specifically, current evidence (1,8,30,35,42) has indicated that soccer players tend to accumulate different ITL and ETL depending on the competition phase and player position. Ishida et al (19) reported that a 7-day average of total distance covered statistically increased from the preseason to the midcompetitive season ( p = 0.02), whereas the countermovement jump height was statistically higher at midseason compared with baseline ( p = 0.03) in NCAA Division I women's soccer players. Abbott et al (1) also reported that central midfielders covered the greatest distance compared with other positions ( p < 0.01) in U23 Premier League academy male players.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, Delaney et al (10) indicated that physical preparedness measured by the ratio between ITL and ETL increased over the 7 weeks in professional rugby players. Based on current evidence (1,4,10,14,19,24,26,35), contextual variables such as competition phase and player position would play an important role in accurately assessing the relationship between ITL and ETL. In particular, it is expected that players could demonstrate a higher ITL in response to a given ETL during the early competitive phase regardless of player position because of low physical preparedness (10,19).…”

Section: Introductionmentioning

confidence: 99%

“…The NCAA Division I women's soccer season consists of 2-3 weeks of a preseason, followed by 10-12 weeks of competition phase, including nonconference and conference phases. In NCAA soccer, coaching staff often prescribe markedly higher training loads (TLs) during preseason compared with the competitive season (5,19). This substantial increase in work typically increases physiological damage (6,44) and decreases neuromuscular performance (32).…”

Section: Introductionmentioning

confidence: 99%

“…Based on current evidence (1,4,10,14,19,24,26,35), contextual variables such as competition phase and player position would play an important role in accurately assessing the relationship between ITL and ETL. In particular, it is expected that players could demonstrate a higher ITL in response to a given ETL during the early competitive phase regardless of player position because of low physical preparedness (10,19). However, to the authors' knowledge, no investigation has been performed regarding the effects of contextual variables on the relationship between ITL and ETL in competitive soccer.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Player Position Affects Relationship Between Internal and External Training Loads During Division I Collegiate Female Soccer Season

Ishida

Travis

Draper

et al. 2021

Journal of Strength and Conditioning Research

Self Cite

View full text Add to dashboard Cite

Ishida, A, Travis, SK, Draper, G, White, JB, and Stone, MH. Player position affects relationship between internal and external training loads during Division I collegiate female soccer season. J Strength Cond Res 36(2): 513-517, 2022-The purpose of this study was to investigate how competition phase and player position affect the relationship between internal and external training loads (ITL and ETL, respectively) in collegiate female soccer. Seventeen players participated (21.8 6 1.7 years; 165.1 6 6.2 cm; and 63.7 6 7.9 kg). Nineteen match-plays (10 nonconference and 9 conference) were completed during the 2019 competitive season, including 270 observations of 17 players (defenders 5 5, midfielders 5 9, and forwards 5 3). Internal training load was assessed using session rating of perceived exertion (sRPE). External training load included total distance and high-speed running (HSR) distance. A linear mixed model was compiled with fixed effects of total distance, HSR, competition phase, and player position (defenders, midfielders, and forwards) and random effects of player. There were statistically significant main effects for total distance (p , 0.001), HSR (p 5 0.047) and player position (p 5 0.045) on the prediction model of sRPE. However, the main effect of competition phase did not statistically contribute to the prediction model of sRPE (p 5 0.38). In the final model, total distance (p , 0.001) and player position for forwards (p 5 0.008) were significant predictors of sRPE. However, there was no statistically significant fixed effect of HSR on sRPE (p 5 0.15). The final model explained 60.6% of the variance in sRPE (R 2 5 0.60), whereas the random effect also explained 6.1% of the variance (R 2 5 0.06). Our findings indicated that total distance and player position were strong predictors of sRPE. The relationship between ITL and ETL should be monitored by player position in female soccer players.

show abstract

Whole-body photobiomodulation improves post-exercise recovery but does not affect performance or physiological response during maximal anaerobic cycling

et al. 2023

View full text Add to dashboard Cite

Seasonal Changes and Relationships in Training Loads, Neuromuscular Performance, and Recovery and Stress State in Competitive Female Soccer Players

Cited by 6 publications

References 43 publications

Training Load and Current Soreness Predict Future Delayed Onset Muscle Soreness in Collegiate Female Soccer Athletes

Training Load and Current Soreness Predict Future Delayed Onset Muscle Soreness in Collegiate Female Soccer Athletes

Player Position Affects Relationship Between Internal and External Training Loads During Division I Collegiate Female Soccer Season

Whole-body photobiomodulation improves post-exercise recovery but does not affect performance or physiological response during maximal anaerobic cycling

Contact Info

Product

Resources

About