Correlations Between Agility, Speed And Effort Capacity In Women's Soccer, Handball And Rugby

In team sports, the essential factors in achieving performance are represented by speed and agility, expressed in conditions of high intensity and high volume. The aim of this study is to analyze the relationships between speed, agility and effort in women's soccer, rugby and handball. At the same time, we want to compare these parameters in order to determine the profile for each discipline. The research analyzed 49 performance women athletes from the first leagues of Romania, divided into 3 groups: soccer, rugby and handball. To evaluate the speed we applied the 10 m test. Agility was assessed using samples 505 and 1001. Anaerobic effort capacity was assessed by the 8x10 + 10m and aerobic effort capacity by the VAM-Eval test. The Pearson correlation showed a direct relationship between 505 and 1001, for all groups. Significant correlations were shown between speed and agility, the effort capacity being also involved in the detected interferences.

Epidemiology of Concussions in National Collegiate Athletic Association (NCAA) Sports: 2014/15-2018/19

Background: Updated epidemiology studies examining sports-related concussions (SRCs) are critical in evaluating recent efforts aimed at reducing the incidence of SRCs in National Collegiate Athletic Association (NCAA) sports. Purpose: To describe the epidemiology of SRCs in 23 NCAA sports during the 2014/15-2018/19 academic years. Study Design: Descriptive epidemiology study. Methods: SRC and exposure data collected in the NCAA Injury Surveillance Program were analyzed. Injury counts, rates, and proportions were used to describe injury characteristics by sport, event type (practices, competitions), injury mechanism (player contact, surface contact, equipment/apparatus contact), and injury history (new, recurrent). Injury rate ratios (IRRs) were used to examine differential injury rates, and injury proportion ratios (IPRs) were used to examine differential distributions. Results: A total of 3497 SRCs from 8,474,400 athlete-exposures (AEs) were reported during the study period (4.13 per 10,000 AEs); the competition-related SRC rate was higher than was the practice-related SRC rate (IRR, 4.12; 95% CI, 3.86-4.41). The highest SRC rates were observed in men’s ice hockey (7.35 per 10,000 AEs) and women’s soccer (7.15 per 10,000 AEs); rates in women’s soccer and volleyball increased during 2015/16-2018/19. Player contact was the most prevalently reported mechanism in men’s sports (77.0%), whereas equipment/apparatus contact was the most prevalently reported mechanism in women’s sports (39.2%). Sex-related differences were observed in soccer, basketball, softball/baseball, and swimming and diving. Most SRCs reported in men’s sports (84.3%) and women’s sports (81.1%) were reported as new injuries. Conclusion: Given the increasing SRC rates observed in women’s soccer and volleyball during the latter years of the study, these results indicate the need to direct further attention toward trajectories of SRC incidence in these sports. The prevalence of equipment/apparatus contact SRCs in women’s sports also suggests that SRC mechanisms in women’s sports warrant further investigation. As most SRCs during the study period were reported as new injuries, the prevalence of recurrent SRCs in men’s and women’s ice hockey is also noteworthy.

Contextual Variation in External and Internal Workloads across the Competitive Season of a Collegiate Women’s Soccer Team

As sports technology has continued to develop, monitoring athlete workloads, performance, and recovery has demonstrated boundless benefits for athlete and team success. Specifically, technologies such as global positioning systems (GPS) and heart rate (HR) monitors have granted the opportunity to delve deeper into performance contributors, and how variations may exist based upon context. A team of NCAA Division I women’s soccer athletes were monitored during games throughout one competitive season. Individual athlete, positional groups, and team external and internal workloads were explored for differences based upon game location, opponent ranking, game result, and the final score differential. Game location and opponent ranking were found to have no effect on team-wide absolute or relative external workloads, whereas game result and score differential did. Internal workloads across the team tended to only vary by game half, independent of game context; however, the HR of defenders was determined to be higher during losses as compared to wins (p = 0.0256). Notably, the games that resulted in losses also represented the games with the fewest number of substitutions. These findings suggest high value in monitoring performance and workloads that are characteristic of varying, often multifaceted, contexts. It is hoped that this information can lead to more informed approaches to vital game-time and coaching decisions.

External and internal load during training sessions in elite women’s soccer: a systematic mini review

Review question / Objective: The present systematic mini review aim to provide an overview about external and internal load during training sessions in elite women’s soccer, with special focus on fatigue, training adaptions and injuries. Condition being studied: Continuous training load monitoring in the context of the regular team routine. Eligibility criteria: To investigate continuous monitoring, we include articles with a minimum of one week of monitoring, irrespective of gender and study focus (e.g. studies reporting descriptive data of training load without studying its effects will be included). Articles will be excluded if: the participants are not all elite women’s soccer players (e.g. mixed samples including elite and non-elite players); the participants are aged under 18; the participants are not monitored longitudinally over a minimum of a 1-week period or five sessions (if the duration is not stated; friendly matches are considered training sessions) to consider continuous monitoring practices; no GPS-derived training load data are reported; the articles do not report any training load indicators; single drills are monitored rather than the entire training session, or the article focuses on the comparison between a specific drill and match demands; data from training sessions are not reported; and the articles are editorials or reviews.

Session Rating of Perceived Exertion (sRPE) Load and Training Impulse Are Strongly Correlated to GPS-Derived Measures of External Load in NCAA Division I Women’s Soccer Athletes

Purpose: The purpose of this study was to determine whether session rating of perceived exertion-derived training load (sRPE-TL) correlates with GPS-derived measures of external load in National Collegiate Athletics Association (NCAA) Division I female soccer athletes. Methods: Twenty-one NCAA Division 1 collegiate women’s soccer athletes (11 starters, 10 non-starters; 65.1 ± 7.2 kg, 168.4 ± 7.9 cm, 20.3 ± 1.5 yrs) volunteered to take part in this study. Data for this study were collected over the course of 16 weeks during the 2018 NCAA women’s soccer season. External load and heart rate (HR) data were collected during each training session and match during the season. At least 30 min after the end of an activity (e.g., match or practice), athletes were prompted to complete a questionnaire reporting their perceived exertion for the session. sRPE-TL was calculated at the end of the season by multiplying perceived exertion by the respective session duration. Results: sRPE-TL was very strongly correlated with total distance, distance covered in velocity zones 1–3, the number of accelerations in zones 4 and 5, total PlayerLoad™, and PlayerLoad™. For internal load, sRPE-TL correlated very strongly (0.70 ≤ |r| < 0.90) with Edward’s and Bannister’s TRIMP and strongly (0.50 ≤ |r| < 0.70) with duration spent in in heart rate zones 5 and 6 (80–90% and 90–100% max HR, respectively) while correlations with maximum HR (bpm), mean HR (bpm), and mean HR (%) and sRPE-TL were moderate (0.30 ≤ |r| < 0.50). Conclusions: In NCAA Division I women soccer, sRPE-TL is strongly associated with external measures of workload. These relationships were stronger during match play, with acceleration load and total distance exhibiting the strongest relationship with sRPE-TL.

Increased Lower Extremity Injury Risk Associated With Player Load and Distance in Collegiate Women’s Soccer

Background: There is limited research regarding the impact of workload on injury risk specific to women’s soccer. Wearable global positioning system (GPS) units can track workload metrics such as total distance traveled and player load during games and training sessions. These metrics can be useful in predicting injury risk. Purpose: To examine the relationship between injury risk and player workload as collected from wearable GPS units in National Collegiate Athletic Association (NCAA) Division I women’s soccer players. Study Design: Case-control study; Level of evidence, 3. Methods: Lower extremity injury incidence and GPS workload data (player load, total distance, and high-speed distance) for 65 NCAA Division I women’s soccer players were collected over 3 seasons. Accumulated 1-, 2-, 3-, and 4-week loads and acute-to-chronic workload ratios (ACWR) were classified into discrete ranges by z-scores. ACWR was calculated using rolling averages and exponentially weighted moving averages (EWMA) models. Binary logistic regression models were used to compare the 7:28 rolling average and EWMA ACWRs between injured and noninjured players for all GPS/accelerometer variables. The prior 1-, 2-, 3-, and 4-week accumulated loads for all GPS/accelerometer variables were compared between the injured and uninjured cohorts using 2-sample t tests. Results: There were a total of 53 lower extremity injuries that resulted in lost time recorded (5.76/1000 hours “on-legs” exposure time; 34 noncontact and 19 contact injuries). The prior 2-week (7242 vs 6613 m/s2; P = .02), 3-week (10,533 vs 9718 m/s2; P = .02), and 4-week (13,819 vs 12,892 m/s2; P = .04) accumulated player loads and 2-week (62.40 vs 57.25 km; P = .04), 3-week (90.97 vs 84.10 km; P = .03), and 4-week (119.31 vs 111.38 km; P = .05) accumulated total distances were significantly higher for injured players compared with noninjured players during the same time frames. There were no significant differences in player load, total distance, or high-speed distance ACWR between injured and noninjured players for both the rolling averages and EWMA calculations. Conclusion: Higher accumulated player load and total distance, but not ACWR, were associated with injury in women’s soccer players.

Factors Associated With Noncontact Injury in Collegiate Soccer: A 12-Team Prospective Study of NCAA Division I Men’s and Women’s Soccer

Background: Multiteam, multi-institution prospective studies of both women’s and men’s sports are essential for collectively investigating injury and primary to the generalization and individualization of injury prevention strategies. Hypothesis: Characteristics of workload, sleep, and contextual factors will be associated with injury risk in collegiate soccer athletes. Study Design: Cohort study; Level of evidence, 2. Methods: Injuries, workload, and sleep characteristics were recorded daily throughout a complete season for 256 athletes from 12 separate National Collegiate Athletic Association Division I men’s and women’s soccer teams. Workload and contextual factors were assessed via multilevel Poisson regression to capture differences in injury incidence rate ratio (IRR). Paired t test and multilevel logistic regressions were used to assess the relationship between sleep behavior and injury. Results: Collegiate soccer athletes had lower rates of noncontact injury in the in-season (IRR, 0.42) and postseason (IRR, 0.48) compared with preseason, lower rates of injury in training (IRR, 0.64) compared with matches, and higher injury rates with only 1 day of rest in the previous week (IRR, 1.58) compared with >1 day. Injury rates peaked when training occurred 4 days before a match (IRR, 2.24) compared with a match. Injury rate increased exponentially with increases in the number of noncontact injuries incurred throughout the season (IRR, 2.23). Lower chronic loading, higher training monotony, and acute spikes and lulls in workload were associated with higher noncontact injury rates. Alterations in previous week sleep quality were associated with injury, while chronic sleep behavior and acute alterations (<7 days) in sleep behavior were not ( P > .05). Conclusion: Athlete and schedule-specific contextual factors, combined with characteristics of workload and weekly sleep behavior, are significantly associated with injury in collegiate soccer. Multiteam prospective cohort studies involving objective and subjective monitoring allow for the identification of multiple injury risk factors in sports, which can be used to guide injury prevention strategies. Maintaining higher chronic workloads, lowering training monotony, minimizing acute spikes or lulls in workloads, managing workloads during preseason and for athletes with previous injury, integrating more rest and recovery during congested periods, and optimizing sleep quality are all practical considerations for reducing injury risk in collegiate soccer.