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Examples of how mediating and moderating variables explain the association between a workload spike and subsequent injury. Top, neuromuscular fatigue is shown as a mediator (ie, domino) of the effect of workload spikes on injury. In this example, a spike in workload causes an increase in neuromuscular fatigue, and an increase in neuromuscular fatigue leads to an injury. Bottom, aerobic fitness acts as a moderator (ie, dimmer switch) of the relationship between workload spikes and injury. In this case, a given spike in workload will elicit a different injury risk dependent on an individual’s fitness level.

Examples of how mediating and moderating variables explain the association between a workload spike and subsequent injury. Top, neuromuscular fatigue is shown as a mediator (ie, domino) of the effect of workload spikes on injury. In this example, a spike in workload causes an increase in neuromuscular fatigue, and an increase in neuromuscular fatigue leads to an injury. Bottom, aerobic fitness acts as a moderator (ie, dimmer switch) of the relationship between workload spikes and injury. In this case, a given spike in workload will elicit a different injury risk dependent on an individual’s fitness level.

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Spikes in training and competition workloads, especially in undertrained athletes, increase injury risk. However, just as attributing athletic injuries to single risk factors is an oversimplification of the injury process, interpreting this workload-injury relationship should not be done in isolation. Instead, we must further unpack how (ie, throug...

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Citations

... In the literature, it has been described that there is a relationship between sessions completed by preseason players and the likelihood of injury. In rugby players during an 18-week preseason, Windt et al. (2017b) found a significant inverse relationship (r = -0.40) between the number of training sessions completed and the percentage of games lost due to injury during the competitive season. Based on these results, there is a relationship between the athlete's participation during the preseason and the decrease in chances of sports injury during the in-season. ...
... The authors justify this protective effect that happens when completing the preseason in two non-exclusive hypotheses. On the one hand, athletes who complete the preseason may acquire a higher level of preparation, and this higher level of fitness has already been described as a modulator of the effects of the training load, causing more robust athletes to injury (Windt et al., 2017b). In addition, they accumulate higher values of chronic load, an aspect linked to the increase in fitness and which has also been shown as a modulator of the effect of the load, allowing athletes to withstand higher load levels without significantly increasing the likelihood of injury (Malone et al., 2017) and probably, players with good fitness (e.g. ...
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Purpose: the main aim of this study was to quantify and compare the weekly external loads of pre-season in two professional football teams. Methods: GPS devices monitored forty-five players in two teams daily in a five-week pre-season period. The external load measures were: number of sessions, total duration, acceleration load (aLoad), total distance (TD), distance at >21 km·h-1 (TD21), distance at >24 km·h-1 (TD24) and Player-Load® (PL). Results: there were differences in the weekly external load between both teams. Team1 trained 30% more time and training sessions than Team2, so the weekly load for all external load variables was higher except for aLoad and TD21 for W1 (Team2>Team1, p<0.05). These differences between teams were not similar for all weeks, with higher differences in weeks 2, 3, and 4. While Team2 proposed a distribution more stable and progressive in high-speed distances (TD21 and TD24) among weeks, Team1 used the inverted U model. In this line, variations between weeks were lower for Team2 (from -4% to 38%) than for Team1 (from -26% to 1,653%). Conclusions: The study's main conclusion was that in addition to a load management with an inverted U model, more widespread in professional football, a more stable and progressive distribution strategy can be proposed in pre-season in a professional setting. Keywords: GPS, training load, team sports, periodization, monitoring.
... When applied consistently, large training volumes will induce physiological adaptations in athletes which prepare them for their sport and competition, and therefore might actually assist in the prevention of injuries (52). Whilst it must be acknowledged that increased training volume has been suggested to be associated with injury risk in athletes (53), it has equally been debated whether sudden and rapid spikes in training volume may be responsible for the increased injury risk, as opposed to training volume when considered as a consistent variable over a period of time (54). The results of the current study and others (5,9,55), indicate that future studies should be conducted to investigate the relationship between training volume and climbing overuse injuries, with an enhanced focus on the quality of the data collected. ...
... The findings of the current study support previous work by , who also described a relationship between increased climbing intensity/grade and an increase in injury risk, and this association has been discussed in other reviews in the literature (14). High intensity training maintained over long periods of time (52) or when introduced abruptly during the training process (54) appears to increase the likelihood of sustaining an overuse injury in athletes, and this risk likely exists in climbers. This result underlines the need for training to be programmed and monitored in a sensible and accurate way, in accordance with currently known best practice in training periodization and planning (52,56,57). ...
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... 51 In this line, avoiding spikes in the daily and weekly workload has been demonstrated to prevent injuries in high-level athletes. 52 In the present case study one of the principles that has governed training programing is the overload principle, especially avoiding large sudden increases in load. To monitor the fatigue and the training intensity, movement velocity measured through linear encoders has been demonstrated to accurately measure the degree of effort through velocity loss. ...
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... While the Borg scale is widely used to control overload, some studies suggest that training pressure and monotony could be a more accurate indicator of players' risk of injury (Brink et al., 2010;Lu et al., 2017). The associations between training monotony and training strain with injury exposure or disease risk are likely to be complex (Windt et al., 2017). In this sense, moderators such as players' tness (ie, professional vs amateur) and season period (ie, preseason vs season) should be analyzed. ...
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... However, rather than focusing purely on the ACWR, Gabbett 36 recommend consideration of known moderators to the workload-injury relationship (eg, injury history and other factors known to influence the risk of injury). A moderator may either increase or decrease risk of injury at a given training load.37 Specific to MTSS, example moderators to the workload-injury relationship may include MTSS history and previous years of running experience. ...
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Objectives Medial tibial stress syndrome (MTSS) is a common musculoskeletal injury in both sporting and military settings. No reliable treatments exist, and reoccurrence rates are high. Prevention of MTSS is critical to reducing operational burden. Therefore, this study aimed to build a decision-making model to predict the individual risk of MTSS within officer cadets and test the external validity of the model on a separate military population. Design Prospective cohort study. Methods This study collected a suite of key variables previously established for predicting MTSS. Data were obtained from 107 cadets (34 women and 73 men). A follow-up survey was conducted at 3 months to determine MTSS diagnoses. Six ensemble learning algorithms were deployed and trained five times on random stratified samples of 75% of the dataset. The resultant algorithms were tested on the remaining 25% of the dataset, with models then compared for accuracy. The most accurate new algorithm was tested on an unrelated data sample of 123 Australian Navy recruits to establish external validity of the model.
... However, rather than focusing purely on the ACWR, Gabbett 36 recommend consideration of known moderators to the workload-injury relationship (eg, injury history and other factors known to influence the risk of injury). A moderator may either increase or decrease risk of injury at a given training load.37 Specific to MTSS, example moderators to the workload-injury relationship may include MTSS history and previous years of running experience. ...
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Objectives Medial tibial stress syndrome (MTSS) is a common musculoskeletal injury in both sporting and military settings. No reliable treatments exist, and reoccurrence rates are high. Prevention of MTSS is critical to reducing operational burden. Therefore, this study aimed to build a decision-making model to predict the individual risk of MTSS within officer cadets and test the external validity of the model on a separate military population. Design Prospective cohort study. Methods This study collected a suite of key variables previously established for predicting MTSS. Data were obtained from 107 cadets (34 women and 73 men). A follow-up survey was conducted at 3 months to determine MTSS diagnoses. Six ensemble learning algorithms were deployed and trained five times on random stratified samples of 75% of the dataset. The resultant algorithms were tested on the remaining 25% of the dataset, with models then compared for accuracy. The most accurate new algorithm was tested on an unrelated data sample of 123 Australian Navy recruits to establish external validity of the model. Results Calibrated random forest modelling was the most accurate in identifying a diagnosis of MTSS; (area under curve (AUC)=98%, classification accuracy (CA)=96%). External validation on a sample of Navy recruits resulted in comparable accuracy; (AUC=95%, CA=94%). When the model was tested on the combined datasets, similar accuracy was achieved; (AUC=92%, CA=91%). Conclusion This model is highly accurate in predicting those who will develop MTSS. The model provides important preventive capacity which should be trialled as a risk management intervention.
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... A recent British Journal of Sports Medicine editorial called for exploration of the mediators driving load related injuries, and more training-specific data informing injury resilience protocols (Windt et al., 2017). In responding to this call, I propose that the mechanical stressors, implicit in deceleration activities, are critical mediators serving as potent drivers of both neuromuscular fatigue and tissue damage. ...
Thesis
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Horizontal accelerations and decelerations are crucial components underpinning the many fast changes of speed and direction that are performed in team sports competitive match play. Extensive research has been conducted into the assessment of horizontal acceleration and the underpinning neuromuscular performance determinants, leading to evidence-informed guidelines on how to best develop specific components of a team sport players horizontal acceleration capabilities. Unlike horizontal acceleration, little scientific research has been conducted into how to assess horizontal deceleration, meaning the neuromuscular performance determinants underpinning horizontal deceleration are largely based on anecdotal opinion or qualitative observations. Therefore, the overall purpose of this thesis was to investigate the neuromuscular determinants of maximal horizontal deceleration ability in team sport players. Furthermore, since there are no recognised procedures on how to assess maximal horizontal deceleration ability, an important and novel aim of this thesis was to develop a test capable of obtaining reliable and sensitive data on a team sport player’s maximal horizontal deceleration ability. In part one of this thesis (chapter three) a systematic review and meta-analysis identified that high-intensity (< -2.5 m.s-2) decelerations were more frequently performed than equivalently intense accelerations (> 2.5 m.s-2) in most elite team sports competitive match play, signifying the importance of developing maximal horizontal deceleration ability in team sport players. In chapter four, a new test of maximal horizontal deceleration ability (named the acceleration-deceleration ability test – ADA test), measured using radar technology, identified a number of kinematic and kinetic variables that had good intra- and inter-day reliability and were sensitive to detecting small-to-moderate changes in maximal horizontal deceleration ability. The ADA test was used in chapters five to seven to examine associations with isokinetic eccentric and concentric knee strength capacities and countermovement and drop jump kinetic and kinematic variables, respectively. Using the neuromuscular and biomechanical determinants identified to be important for horizontal deceleration ability within this thesis, in addition to other contemporary research findings, the final part of this thesis developed an evidence-based framework that could be used by practitioners to help inform decisions on training solutions for improving horizontal deceleration ability – named the dynamic braking performance framework.
... The quantification of internal load, and the response to training, should be considered as part of a multivariate system alongside the external load data, in order to understand the dose-response relationship to training [16]. Including measures of the athletes' individual characteristics, such as fitness [52]or maturation [28], into such a system also merits consideration. The cycle of planning and monitoring is an ongoing, iterative process in which the quantification and evaluation of planned and implemented load alongside training responses and outcomes can be beneficial to practitioners and the coaches and athletes they strive to support. ...
Article
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Seeking to obtain a competitive advantage and manage the risk of injury, team sport organisations are investing in tracking systems that can quantify training and competition characteristics. It is expected that such information can support objective decision-making for the prescription and manipulation of training load. This narrative review aims to summarise, and critically evaluate, different tracking systems and their use within team sports. The selection of systems should be dependent upon the context of the sport and needs careful consideration by practitioners. The selection of metrics requires a critical process to be able to describe, plan, monitor and evaluate training and competition characteristics of each sport. An emerging consideration for tracking systems data is the selection of suitable time analysis, such as temporal durations, peak demands or time series segmentation, whose best use depends on the temporal characteristics of the sport. Finally, examples of characteristics and the application of tracking data across seven popular team sports are presented. Practitioners working in specific team sports are advised to follow a critical thinking process, with a healthy dose of scepticism and awareness of appropriate theoretical frameworks, where possible, when creating new or selecting an existing metric to profile team sport athletes.
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Article
The objectives of the study were to examine the incident rate (IR), characteristics, and mechanisms of muscle injuries of 121 men amateur soccer players that voluntarily participated in this project. Sixty-five muscle injuries with an overall IR of 3.62/1000 h, 95% CI 2.7–4.5, were reported. The most frequently injured muscle groups were the hamstrings (IR 1.78/1000 h, 95% CI 1.1–2.3), followed by the adductors (IR 1.5/1000 h, 95% CI 0.93–2.06). Most muscle injuries were characterized as mild (IR 2.3/1000 h, 95% CI 1.53–2.92) or minimal (IR 1.28/1000 h, 95% CI 1.16–2.39. Higher incidence of injury sustained during matches (IR 14.09 injuries/1000 h, 95% CI 9.49–18.7), than in training (IR 1.88 injuries/1000 h, 95% CI 1.19–2.56). The most frequent injury mechanisms were high-speed running (84.4%) and change of direction (44.4%), for hamstring and adductors-related groin injuries, respectively. Players aged over 24 years had a 7-fold increased risk to sustain a hamstring injury but a lower risk to sustain an adductor-related groin injury. Injury prevention and rehabilitation management strategies may reduce muscle injury rates in amateur soccer.