Literature DB >> 33906580

Kiss goodbye to the 'kissing knees': no association between frontal plane inward knee motion and risk of future non-contact ACL injury in elite female athletes.

Agnethe Nilstad1, Erich Petushek2, Kam-Ming Mok3,4, Roald Bahr1, Tron Krosshaug1.   

Abstract

The aim of this study was to investigate if frontal plane knee and hip control in single-leg squats or vertical drop jumps with an overhead target were associated with future non-contact anterior cruciate ligament (ACL) injury in elite female athletes. Of the 429 handball and 451 football athletes (age 21.5 ± 4.0 years, height 169.6 ± 6.4 cm, body weight 67.1 ± 8.0 kg), 722 non-injured and 56 non-contact ACL injured participants were eligible for analysis. We calculated lateral pelvic tilt, frontal plane knee projection angle, medial knee position, and side-to-side asymmetry in these from 2D videos recorded at baseline, and recorded any new ACL injuries prospectively. None of the aforementioned variables in either screening task were different or could discriminate between injured and non-injured athletes (all p values >.05 and Cohen's d values < .27). Two-dimensional video assessment of frontal plane knee and hip control during both a single-leg squat and vertical drop jump was unable to identify individuals at increased risk of non-contact ACL injury, thus should not be used for screening.

Entities:  

Keywords:  Sports injury; injury prevention; motion analysis; risk screening; single-leg squat; vertical drop jump

Year:  2021        PMID: 33906580     DOI: 10.1080/14763141.2021.1903541

Source DB:  PubMed          Journal:  Sports Biomech        ISSN: 1476-3141            Impact factor:   2.832


  3 in total

Review 1.  A Framework for Clinicians to Improve the Decision-Making Process in Return to Sport.

Authors:  Kate K Yung; Clare L Ardern; Fabio R Serpiello; Sam Robertson
Journal:  Sports Med Open       Date:  2022-04-13

2.  Don't Peak Too Early: Evidence for an ACL Injury Prevention Mechanism of the 11+ Program.

Authors:  Haraldur B Sigurðsson; Kristín Briem; Karin Grävare Silbernagel; Lynn Snyder-Mackler
Journal:  Int J Sports Phys Ther       Date:  2022-08-01

3.  Predicting ACL Injury Using Machine Learning on Data From an Extensive Screening Test Battery of 880 Female Elite Athletes.

Authors:  Susanne Jauhiainen; Jukka-Pekka Kauppi; Tron Krosshaug; Roald Bahr; Julia Bartsch; Sami Äyrämö
Journal:  Am J Sports Med       Date:  2022-08-19       Impact factor: 7.010

  3 in total

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