Dynamic knee control and movement strategies in athletes and non‐athletes in side hops: Implications for knee injury

Markström, Jonas L.; Grip, Helena; Schelin, Lina; Häger, Charlotte

doi:10.1111/sms.13432

Cited by 24 publications

(22 citation statements)

References 41 publications

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“…The study found that the groups differed significantly in PT of extensor muscles but not in PT of flexor muscles. 37 Adequate strength and ratio of the lower limbs, particularly the knee muscles, is necessary in many gymnastics tasks (e.g., landing, cutting, jumping, accelerating). PT and rate of torque development (RTD) are important variables of isometric strength in determining the athlete´s risk of injury.…”

Section: Discussionmentioning

confidence: 99%

Comparison between gymnasts and non-gymnasts in isometric strength of the lower limbs

Čeklić

Šarabon

2021

Eur J Transl Myol

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Muscle asymmetries in gymnasts are common and can lead to injury. We aimed to determine differences in hip, knee, and ankle strength between female gymnasts and non-gymnasts, and secondly, to determine the effect of strength training intervention. Fifteen gymnasts (aged 11.19 ± 1.89 years) and 15 non-gymnasts (aged 10.92 ± 1.96 years) performed unilateral isometric maximal voluntary contractions of the hip (extensor, flexor, abductor, adductor, internal and external rotator), knee and ankle flexors and extensors on a dynamometer. Inter-limb asymmetries (ILAs) were compared across strength outcomes (MVC torque) and groups. ILAs was calculated based on the strength measurements. The gymnasts were retested after 8 weeks, during which the participants performed 5 weeks of regular training and 3 weeks of targeted strength training intervention. We found significant differences between groups in most observed hip strength parameters, but not in knee and ankle strength. The intervention did not significantly affect any parameter of ILAs. Gymnasts and non-gymnasts differ in hip strength parameters. A longer intervention program may decrease ILA parameters.

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Section: Discussionmentioning

confidence: 99%

Comparison between gymnasts and non-gymnasts in isometric strength of the lower limbs

Čeklić

Šarabon

2021

Eur J Transl Myol

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“…The Max curve is frequently used when it comes to evaluation of performance (Ryan et al, 2006), and since it actually represents a true hop trial, it is easily interpretable. The Mean curve is not as easy to interpret, but in the presence of higher variability between trials it should in theory be more reliable (Markström et al, 2019). Group comparisons are however based on group averages, and hence both these outcome measures provide relevant information.…”

Section: Choice Of Outcome Measuresmentioning

confidence: 99%

“…Similarly, including parts of the domain where we do not suspect any differences will also decrease the possibility of detecting significant parts. Here, we analyzed the whole jump from the take-off phase to the landing phase, but if the research question only relates to the take-off or the landing, these should be analyzed separately (as in e.g., Markström et al, 2019).…”

Section: Choice Of Multiple Joint Comparisonsmentioning

confidence: 99%

“…For analysis of movement curves, there has been a growing interest in using more recently progressed statistical methods within the functional data analysis (FDA) framework. In the context of knee control and ACL injury evaluation, FDA-methods have been applied for analysis of movement curves from different hops tests like the vertical hop (Ryan et al, 2006), the one-leg hop for distance (Hébert-Losier et al, 2015), the drop jump (Hébert-Losier et al, 2018) and a novel standardized side hop (Markström et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…For movement analysis, individuals are usually represented by either one single movement curve or by extracted variables derived from the time-series data (e.g., Ryan et al, 2006;Thomeé et al, 2012). Alternatively, an average curve or averaged eventrelated variables are used to represent individuals (e.g., Wang et al, 2013;Tate et al, 2017;Markström et al, 2019). To evaluate how consistently a movement is performed by an individual, analysis commonly involves either movement curves or event-related variables from repeated trials, representing movement variability (e.g., Fleisig et al, 2009;Preatoni et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

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Analysis Choices Impact Movement Evaluation: A Multi-Aspect Inferential Method Applied to Kinematic Curves of Vertical Hops in Knee-Injured and Asymptomatic Persons

Strandberg

Pini

Häger

et al. 2021

Front. Bioeng. Biotechnol.

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Three-dimensional human motion analysis provides in-depth understanding in order to optimize sports performance or rehabilitation following disease or injury. Recent developments of statistical methods for functional data allow for novel ways to analyze often complex biomechanical data. Even so, for such methods as well as for traditional well-established statistical methods, the interpretations of the results may be influenced by analysis choices made prior to the analysis. We evaluated the consequences of three such choices when comparing one-leg vertical hop (OLVH) performance in individuals who had ruptured their anterior cruciate ligament (ACL), to that of asymptomatic controls, and also athletes. Kinematic data were analyzed using a statistical approach for functional data, targeting entire curve data. This was done not only for one joint at a time but also for multiple lower limb joints and movement planes simultaneously using a multi-aspect methodology, testing for group differences while also accounting for covariates. We present the results of when an individual representative curve out of three available was either: (1) a mean curve (Mean), (2) a curve from the highest hop (Max), or (3) a curve describing the variability (Var), as a representation of performance stability. We also evaluated choice of sample leg comparison; e.g., ACL-injured leg compared to either the dominant or non-dominant leg of asymptomatic groups. Finally, we explored potential outcome effects of different combinations of included joints. There were slightly more pronounced group differences when using Mean compared to Max, while the specifics of the observed differences depended on the outcome variable. For Var there were less significant group differences. Generally, there were more disparities throughout the hop movement when comparing the injured leg to the dominant leg of controls, resulting in e.g., group differences for trunk and ankle kinematics, for both Mean and Max. When the injured leg was instead compared to the non-dominant leg of controls, there were trunk, hip and knee joint differences. For a more stringent comparison, we suggest considering to compare the injured leg to the non-dominant leg. Finally, the multiple-joint analyses were coherent with the single-joint analyses. The direct effects of analysis choices can be explored interactively by the reader in the Supplementary Material. To summarize, the choices definitively have an impact on the interpretation of a hop test results commonly used in rehabilitation following knee injuries. We therefore strongly recommend well-documented methodological analysis choices with regards to comparisons and representative values of the measures of interests.

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Investigation of multiple populations highlight VEGFA polymorphisms to modulate anterior cruciate ligament injury

Feldmann

Rahim

Suijkerbuijk

et al. 2021

Journal Orthopaedic Research

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Polymorphisms in VEGFA and KDR encoding proteins have been associated with anterior cruciate ligament (ACL) injury risk. We leveraged a collective sample from Sweden, Poland, and Australia to investigate the association of functional polymorphisms in VEGFA and KDR with susceptibility to ACL injury risk. Using a case–control genetic association approach, polymorphisms in VEGFA and KDR were genotyped and haplotypes inferred from 765 controls, and 912 cases clinically diagnosed with ACL rupture. For VEGFA, there was a significant overrepresentation of the rs2010963 CC genotype (p = 0.0001, false discovery rate [FDR]: p = 0.001, odds ratio [OR]: 2.16, 95% confidence interval [CI]: 1.47–3.19) in the combined ACL group (18%) compared to the combined control group (11%). The VEGFA (rs699947 C/A, rs1570360 G/A, rs2010963 G/C) A‐A‐G haplotype was significantly (p = 0.010, OR: 0.85, 95% CI: 0.69–1.05) underrepresented in the combined ACL group (23%) compared to the combined control group (28%). In addition, the A‐G‐G construct was significantly (p = 0.036, OR: 0.81, 95% CI: 0.64–1.02) underrepresented in the combined ACL group (12%) compared to the combined CON group (16%). Our findings support the association of the VEGFA rs2010963 CC genotype with increased risk and (ii) the VEGFA A‐A‐G haplotype with a reduced risk, and are in alignment with the a priori hypothesis. Collectively identifying a genetic interval within VEGFA to be implicated in ACL risk modulation and highlight further the importance of vascular regulation in ligament biology.

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Dynamic knee control and movement strategies in athletes and non‐athletes in side hops: Implications for knee injury

Cited by 24 publications

References 41 publications

Comparison between gymnasts and non-gymnasts in isometric strength of the lower limbs

Comparison between gymnasts and non-gymnasts in isometric strength of the lower limbs

Analysis Choices Impact Movement Evaluation: A Multi-Aspect Inferential Method Applied to Kinematic Curves of Vertical Hops in Knee-Injured and Asymptomatic Persons

Investigation of multiple populations highlight VEGFA polymorphisms to modulate anterior cruciate ligament injury

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