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Effects of second-generation and indoor sports surfaces on knee joint kinetics and kinematics during 45° and 180° cutting manoeuvres, and exploration using statistical parametric mapping and Bayesian analyses

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Abstract

Purpose

The aim of the current investigation was to examine the influence of second-generation (2G) and indoor surfaces on knee joint kinetics, kinematics, frictional and muscle force parameters during 45° and 180° change of direction movements using statistical parametric mapping (SPM) and Bayesian analyses.

Methods

Twenty male participants performed 45° and 180° change of direction movements on 2G and indoor surfaces. Lower limb kinematics were collected using an eight-camera motion capture system, and ground reaction forces were quantified using an embedded force platform. ACL, patellar tendon and patellofemoral loading, was examined via a musculoskeletal modelling approaches, and the frictional properties of the surfaces were examined using ground reaction force information. Differences between surfaces were examined using SPM and Bayesian analyses.

Results

Both SPM and Bayesian analyses showed that ACL loading parameters were greater in the 2G condition in relation to the indoor surface. Conversely, SPM and Bayesian analyses confirmed that patellofemoral/patellar tendon loading alongside the coefficient of friction and peak rotational moment were larger in the indoor condition compared to the 2G surface.

Conclusions

This study indicates that the indoor surface may improve change of direction performance owing to enhanced friction at the shoe--surface interface but augment the risk from patellar tendon/patellofemoral injuries, whereas the 2G condition may enhance the risk from ACL pathologies.

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Correspondence to Jonathan Sinclair.

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Sinclair, J., Liles, N., Taylor, P.J. et al. Effects of second-generation and indoor sports surfaces on knee joint kinetics and kinematics during 45° and 180° cutting manoeuvres, and exploration using statistical parametric mapping and Bayesian analyses. Sport Sci Health 16, 511–521 (2020). https://doi.org/10.1007/s11332-020-00633-7

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