The applied impact of ‘naïve’ statistical modelling of clustered observations of motion data in injury biomechanics research

Staynor, Jonathan; Byrne, Sean; Alderson, Jacqueline; Donnelly, Cyril J.

doi:10.1016/j.jsams.2018.10.006

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…For each model, three‐dimensional preparatory trunk and hip angles along with three‐dimensional mean preparatory trunk and hip momenta were included as predictor variables. Linear mixed models were chosen for the analysis as they allow individual trials to be used as data points, while accounting for within‐participant effects inherent within clustered biomechanical data . For each model, the predictor variables were entered as fixed effects, the participants were entered as random effects, a random intercept was included and the alpha was set to 0.05.…”

Section: Methodsmentioning

confidence: 99%

By failing to prepare, you are preparing your anterior cruciate ligament to fail

Staynor

Alderson

Byrne

et al. 2019

Scandinavian Med Sci Sports

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There is strong evidence linking an athlete's movement technique during sidestepping with anterior cruciate ligament (ACL) injury risk. However, it is unclear how these injurious postures are influenced by prior movement. We aim to describe preparatory trunk and thigh kinematics at toe‐off of the penultimate‐step and flight‐phase angular momenta, and explore their associations with frontal‐plane risk factors during unplanned sidestepping maneuvers. We analyzed kinematic and kinetic data of 33 male Australian Football players performing unplanned sidestepping tasks (103 trials). Linear mixed models tested for reliable associations between ACL injury risk during weight acceptance of the execution‐step, with preparatory kinematics and angular momenta of the trunk and thigh during the penultimate‐step. Multi‐planar flight‐phase trunk momenta along with hip abduction angle at penultimate‐step toe‐off were significantly associated with peak knee valgus moments during the execution‐step (R2 = .21, P < .01). Execution‐step trunk lateral flexion was significantly predicted by frontal and sagittal‐plane preparatory trunk positioning at toe‐off of the penultimate‐step (R2 = .44, P < .01). Multi‐planar flight‐phase trunk momenta as well as multi‐planar trunk and hip positioning at penultimate‐step toe‐off were associated with hip abduction during the execution‐step (R2 = .53, P < .01). Preparatory positioning of the trunk and hip, along with flight‐phase trunk momentum adjusting this positioning are linked to known ACL injury risk factors. We recommend that during the penultimate‐step athletes maintain an upright trunk, as well as minimize frontal‐plane trunk momentum and transverse‐plane trunk momentum toward the sidestep direction to reduce risk of ACL injury during unplanned sidesteps.

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Section: Methodsmentioning

confidence: 99%

By failing to prepare, you are preparing your anterior cruciate ligament to fail

Staynor

Alderson

Byrne

et al. 2019

Scandinavian Med Sci Sports

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“…In other words, variance in the data due to participant-specific differences like height, weight, hitting position, age, experience, etc. are treated as covariates and their influence removed thus allowing for the variance of the optimization procedure to be analyzed [ 25 , 35 ]. All statistical tests were performed in R 3.3.1 (R Core Team, 2016, R: A language and environment for statistical computing.…”

Section: Methodsmentioning

confidence: 99%

Goal-Oriented Optimization of Dynamic Simulations to Find a Balance between Performance Enhancement and Injury Prevention during Volleyball Spiking

Gupta

Donnelly

Jensen

et al. 2021

Life

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Performance enhancement and injury prevention are often perceived as opposite sides of a coin, where focusing on improvements of one leads to detriment of the other. In this study, we used physics-based simulations with novel optimization methods to find participant-specific, whole-body mechanics of volleyball spiking that enhances performance (the peak height of the hitting hand and its forward velocity) while minimizing injury risk. For the volleyball spiking motion, the shoulder is the most common injury site because of the high mechanical loads that are most pronounced during the follow-through phase of the movement. We analyzed 104 and 209 spiking trials across 13 participants for the power and follow-through phases, respectively. During the power phase, simulations increased (p < 0.025) the peak height of the hitting wrist by 1% and increased (p < 0.025) the forward wrist velocity by 25%, without increasing peak shoulder joint torques, by increasing the lower-limb forward swing (i.e., hip flexion, knee extension). During the follow-through phase, simulations decreased (p < 0.025) peak shoulder joint torques by 75% elicited by synergistic rotation of the trunk along the pathway of the hitting arm. Our results show that performance enhancement and injury prevention are not mutually exclusive and may both be improved simultaneously, potentially leading to better-performing and injury-free athletes.

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Motion analysis for ACL injuries prevention in sport: a systematic review

Sawacha¹,

Ciniglio²,

Scaldaferro³

et al. 2021

Minerva Orthop

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The applied impact of ‘naïve’ statistical modelling of clustered observations of motion data in injury biomechanics research

Cited by 3 publications

References 21 publications

By failing to prepare, you are preparing your anterior cruciate ligament to fail

By failing to prepare, you are preparing your anterior cruciate ligament to fail

Goal-Oriented Optimization of Dynamic Simulations to Find a Balance between Performance Enhancement and Injury Prevention during Volleyball Spiking

Motion analysis for ACL injuries prevention in sport: a systematic review

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