scholarly journals Osteoarthritis action alliance consensus opinion - best practice features of anterior cruciate ligament and lower limb injury prevention programs

2017 ◽  
Vol 8 (9) ◽  
pp. 726 ◽  
Author(s):  
Thomas Trojian ◽  
Jeffrey Driban ◽  
Rathna Nuti ◽  
Lindsay Distefano ◽  
Hayley Root ◽  
...  
2020 ◽  
Vol 29 (3) ◽  
pp. 422
Author(s):  
UgochukwuUzodimma Nnadozie ◽  
ChristianChibuzor Ndubuisi ◽  
EmelieMoris Anekwu ◽  
CharlesChidiebele Maduba ◽  
HenryChinedum Ekwedigwe ◽  
...  

Author(s):  
Robin Mawson ◽  
Michael J Creech ◽  
Devin C Peterson ◽  
Forough Farrokhyar ◽  
Olufemi R Ayeni

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Daphne I. Ling ◽  
Caroline Boyle ◽  
Brandon Schneider ◽  
Joseph Janosky ◽  
James Kinderknecht ◽  
...  

2014 ◽  
Vol 43 (8) ◽  
pp. 2049-2056 ◽  
Author(s):  
Nathan L. Grimm ◽  
John C. Jacobs ◽  
Jaewhan Kim ◽  
Brandon S. Denney ◽  
Kevin G. Shea

2018 ◽  
Vol 53 (9) ◽  
pp. 844-859
Author(s):  
Cortney N. Armitano ◽  
Justin A. Haegele ◽  
Daniel M. Russell

Context:  A comprehensive systematic review of the literature on the use of augmented information in anterior cruciate ligament (ACL) injury-prevention programs to improve jump-landing technique was conducted. The use of motor-learning concepts could provide more robust means of preventing ACL injuries. Objective:  To systematically summarize the effectiveness of augmented information in improving the biomechanical factors associated with an increased risk for ACL injury. Data Sources:  Articles were retrieved using the electronic databases of PubMed, MEDLINE, CINAHL, and Google Scholar and 3 lines of truncated search words: (a) lower extremity, knee, ACL, and anterior cruciate ligament; (b) prevention, injury prevention, and prehab; and (c) augmented information, augmented feedback, feedback, cue, and instruction. We also performed a hand search of the reference lists of the screened articles. Data Extraction:  We independently assessed the methodologic quality using the Cochrane Group on Screening and Diagnostic Test Methods list. Articles were placed in 1 of 3 augmented-information categories: prescriptive, feedback, or transition. Articles were also categorized based on whether the information likely encouraged an internal or external focus of attention. Data Synthesis:  The searches identified a total of 353 studies, of which 18 were included. Most researchers found that augmented information could lead to technique changes to reduce the biomechanical risk factors associated with ACL injury. The average methodologic quality of the studies was 11.8 out of 17, with a range from 8 to 15. The authors of only 7 studies examined retention of the improved techniques. Conclusions:  The evidence suggests that augmented information can be used to significantly improve the biomechanical indicators associated with ACL injury and to enhance current ACL injury-prevention programs. Combined prescriptive and feedback information that encouraged both internal and external foci led to the largest retention effect sizes.


2017 ◽  
Vol 25 (4) ◽  
pp. e79-e82 ◽  
Author(s):  
James O. Sanders ◽  
Gregory Alexander Brown ◽  
Jayson Murray ◽  
Ryan Pezold ◽  
Kaitlyn Sevarino

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