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Sinéad O’Keeffe, Niamh Ní Chéilleachair and Siobhán O’Connor

inherent risk of musculoskeletal injury. 5 Musculoskeletal injuries are defined as injuries resulting from direct trauma or overuse that are sustained during sports participation. 6 Injuries are common in male adolescent Gaelic footballers. Recent research reported that one third of all players sustain

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Robert McCunn, Hugh H.K. Fullagar, Sean Williams, Travis J. Halseth, John A. Sampson and Andrew Murray

The potential for physical injury is an accepted risk that differs in size across all sports. The cost of sustaining an injury is multifaceted and the burden is shared among numerous parties, not least the athlete themselves. Consequences incorporate financial, 1 long-term health, 2 emotional

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Heidi R. Thornton, Jace A. Delaney, Grant M. Duthie and Ben J. Dascombe

Purpose:

To investigate the ability of various internal and external training-load (TL) monitoring measures to predict injury incidence among positional groups in professional rugby league athletes.

Methods:

TL and injury data were collected across 3 seasons (2013–2015) from 25 players competing in National Rugby League competition. Daily TL data were included in the analysis, including session rating of perceived exertion (sRPE-TL), total distance (TD), high-speed-running distance (>5 m/s), and high-metabolic-power distance (HPD; >20 W/kg). Rolling sums were calculated, nontraining days were removed, and athletes’ corresponding injury status was marked as “available” or “unavailable.” Linear (generalized estimating equations) and nonlinear (random forest; RF) statistical methods were adopted.

Results:

Injury risk factors varied according to positional group. For adjustables, the TL variables associated most highly with injury were 7-d TD and 7-d HPD, whereas for hit-up forwards they were sRPE-TL ratio and 14-d TD. For outside backs, 21- and 28-d sRPE-TL were identified, and for wide-running forwards, sRPE-TL ratio. The individual RF models showed that the importance of the TL variables in injury incidence varied between athletes.

Conclusions:

Differences in risk factors were recognized between positional groups and individual athletes, likely due to varied physiological capacities and physical demands. Furthermore, these results suggest that robust machine-learning techniques can appropriately monitor injury risk in professional team-sport athletes.

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Jahan Heidari, Johanna Belz, Monika Hasenbring, Jens Kleinert, Claudia Levenig and Michael Kellmann

Suffering from pain, illnesses, and injuries illustrates the downside of athletic engagement as these factors significantly impact well-being and performance while hampering regular training and competition routines. 1 , 2 Chronic and unspecific developments of illnesses or injuries may even

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Inne Aerts, Elke Cumps, Evert Verhagen, Bram Wuyts, Sam Van De Gucht and Romain Meeusen

Context:

In jump-landing sports, the injury mechanism that most frequently results in an injury is the jump-landing movement. Influencing the movement patterns and biomechanical predisposing factors are supposed to decrease injury occurrence.

Objectives:

To evaluate the influence of a 3-mo coach-supervised jump-landing prevention program on jump-landing technique using the jump-landing scoring (JLS) system.

Design:

Randomized controlled trial.

Setting:

On-field.

Participants:

116 athletes age 15–41 y, with 63 athletes in the control group and 53 athletes in the intervention group. Intervention: The intervention program in this randomized control trial was administered at the start of the basketball season 2010–11. The jump-landing training program, supervised by the athletic trainers, was performed for a period of 3 mo.

Main Outcome Measures:

The jump-landing technique was determined by registering the jump-landing technique of all athletes with the JLS system, pre- and postintervention.

Results:

After the prevention program, the athletes of the male and female intervention groups landed with a significantly less erect position than those in the control groups (P < .05). This was presented by a significant improvement in maximal hip flexion, maximal knee flexion, hip active range of motion, and knee active range of motion. Another important finding was that postintervention, knee valgus during landing diminished significantly (P < .05) in the female intervention group compared with their control group. Furthermore, the male intervention group significantly improved (P < .05) the scores of the JLS system from pre- to postintervention.

Conclusion:

Malalignments such as valgus position and insufficient knee flexion and hip flexion, previously identified as possible risk factors for lower-extremity injuries, improved significantly after the completion of the prevention program. The JLS system can help in identifying these malalignments.

Level of Evidence:

Therapy, prevention, level 1b.

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Pablo A. Domene, Michelle Stanley and Glykeria Skamagki

Injury risk exists in all physical activities. In sport, 1 fitness, 2 and dance, 3 it is acknowledged that thorough risk assessment and injury surveillance are necessary to guide injury reduction and, thus, health promotion strategies. In a sporting context, these strategies involve

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Siobhán O’Connor, Róisín Leahy, Enda Whyte, Paul O’Donovan and Lauren Fortington

Key Points ▸ The majority of respondents (88%) reported an injury in the previous season. ▸ The self-reported worst camogie injury of the previous season mostly impacted knee ligaments. ▸ Respondents reported continuing to play through injury for 85% of their injuries. ▸ The survey justifies

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Pedro Gómez-Carmona, Ismael Fernández-Cuevas, Manuel Sillero-Quintana, Javier Arnaiz-Lastras and Archit Navandar

Injuries are an inherent part of high-level sports performance, with soccer having one of the highest injury incidences. 1 Specifically, epidemiological studies in soccer have observed a prevalence of injuries about 15% per season, affecting 65% to 95% of all players. 1 , 2 Injury rate in soccer

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Álvaro Cuñado-González, Aitor Martín-Pintado-Zugasti and Ángel L. Rodríguez-Fernández

The prevalence of injury in volleyball is considered lower than in other team sports, such as basketball, handball, or soccer. 1 , 2 These differences are thought to be the consequence of the noncontact nature of volleyball. 3 , 4 However, volleyball injuries accounted for 5.3% of all sports

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Andressa Silva, Fernanda V. Narciso, Igor Soalheiro, Fernanda Viegas, Luísa S.N. Freitas, Adriano Lima, Bruno A. Leite, Haroldo C. Aleixo, Rob Duffield and Marco T. de Mello

performance and affect muscle recovery, 6 , 8 changes occurring in these sleep variables may favor the appearance of musculoskeletal injuries. 8 The release of growth hormone, testosterone, and cortisol occur during sleep as part of the processes regulating protein synthesis and degradation, which, in turn