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Nicola Marotta, Andrea Demeco, Gerardo de Scorpio, Angelo Indino, Teresa Iona and Antonio Ammendolia

in male and female athletes. 12 This study also aimed to determine onset muscle activity of thigh muscles during a drop landing task that puts stress on the ACL and to assess neuromotor involvement in ACL injury risk. Methods This study was in accordance with the Declaration of Helsinki; written

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Jason Brumitt, Jill Sikkema, Saiko Mair, CJ Zita, Victor Wilson and Jordan Petersen

–Lower Quarter to discriminate injury risk in a heterogeneous population of Division III collegiate athletes is unknown. Nearly 200,000 student-athletes compete in sport at the National Collegiate Athletic Association (NCAA) Division-III (D-III) level. 1 Student-athletes who participate in sport at the D

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Sandra J. Shultz and Randy J. Schmitz

highlight two areas that have emerged in recent years as potential ancillary targets. Knee-Joint Laxity and BMI Two large multivariate risk-factor studies have identified the combination of anterior knee-joint laxity and BMI to be among the strongest predictors of ACL-injury risk in young female athletes

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John J. Smith and Daniel J. Baer

Key Points ▸ Preseason football presents a high injury risk due to high exposure to contact. ▸ We identified a decrease in the total number of lower extremity strains and time-loss lower extremity strains, following NCAA football practice rule changes. ▸ Examination of injury records and

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Zenzi Huysmans and Damien Clement

stress response (i.e., attentional disruption and muscular tension) that leads to injury risk. It is also necessary to explore whether or not the culture surrounding sport allows for concepts such as self-compassion to be acknowledged and whether its use for athletes is more complex than with other

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Fergus O’Connor, Heidi R. Thornton, Dean Ritchie, Jay Anderson, Lindsay Bull, Alex Rigby, Zane Leonard, Steven Stern and Jonathan D. Bartlett

little or too much exposure to sprinting presents an injury risk, 12 suggesting that sprinting volume should be carefully planned and monitored. In AF, a range of high-risk scenarios that may increase injury risk has been examined, which include total distance, sprint distance (>85% individual maximum

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Caroline Lisee, Tom Birchmeier, Arthur Yan, Brent Geers, Kaitlin O’Hagan, Callum Davis and Christopher Kuenze

prevention. 1 , 2 Visual or instrumented evaluation of kinematics during functional tasks is incorporated into evaluations of injury risk. 2 Consistent with this approach, verbal or visual feedback related to high-risk movement patterns is often provided by clinicians to aid patients or athletes in

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Timothy J.H. Lathlean, Paul B. Gastin, Stuart V. Newstead and Caroline F. Finch

wellness 3 and injury risk. 4 Such injury risk can have implications on individual player and team performance. 5 , 6 In practice, elite junior AF players compete across different levels of AF including state league, state and national representative/academy, and school and local club competition. 7 A

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Mostafa Zarei, Hamed Abbasi, Abdolhamid Daneshjoo, Mehdi Gheitasi, Kamran Johari, Oliver Faude, Nikki Rommers and Roland Rössler

strength, especially in the muscles around the knee and hip, seems to increase injury risk in elite-level youth football players. 2 Exercise-based injury prevention programs generally aim at altering modifiable, intrinsic risk factors, such as a lack of strength. 3 , 4 It has been shown that exercise

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Shelby Waldron, J.D. DeFreese, Brian Pietrosimone, Johna Register-Mihalik and Nikki Barczak

health outcomes, primarily injury risk, leaving a gap in knowledge surrounding psychosocial outcomes, such as athlete burnout ( Baker et al., 2009 ; Jayanthi, LaBella, Fischer, Pasulka, & Dugas, 2015 ). According to Côté, Baker, and Abernathy ( 2007 ) in their Developmental Model of Sport Participation