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dc.contributor.authorSu, EY-S
dc.contributor.authorCarroll, TJ
dc.contributor.authorFarris, DJ
dc.contributor.authorLichtwark, GA
dc.date.accessioned2023-01-23T11:35:35Z
dc.date.issued2023-01-23
dc.date.updated2023-01-23T09:59:57Z
dc.description.abstractBackground During counter movement jumps, adding weight in the eccentric phase and then suddenly releasing this weight during the concentric phase, known as accentuated eccentric loading (AEL), has been suggested to immediately improve jumping performance. The level of evidence for the positive effects of AEL remains weak, with conflicting evidence over the effectiveness in enhancing performance. Therefore, we proposed to theoretically explore the influence of implementing AEL during constrained vertical jumping using computer modelling and simulation and examined whether the proposed mechanism of enhanced power, increased elastic energy storage and return, could enhance work and power. Methods We used a simplified model, consisting of a ball-shaped body (head, arm, and trunk), two lower limb segments (thigh and shank), and four muscles, to simulate the mechanisms of AEL. We adjusted the key activation parameters of the muscles to influence the performance outcome of the model. Numerical optimization was applied to search the optimal solution for the model. We implemented AEL and non-AEL conditions in the model to compare the simulated data between conditions. Results Our model predicted that the optimal jumping performance was achieved when the model utilized the whole joint range. However, there was no difference in jumping performance in AEL and non-AEL conditions because the model began its push-off at the similar state (posture, fiber length, fiber velocity, fiber force, tendon length, and the same activation level). Therefore, the optimal solution predicted by the model was primarily driven by intrinsic muscle dynamics (force-length-velocity relationship), and this coupled with the similar model state at the start of the push-off, resulting in similar push-off performance across all conditions. There was also no evidence of additional tendon-loading effect in AEL conditions compared to non-AEL condition. Discussion Our simplified simulations did not show improved jump performance with AEL, contrasting with experimental studies. The reduced model demonstrates that increased energy storage from the additional mass alone is not sufficient to induce increased performance and that other factors like differences in activation strategies or movement paths are more likely to contribute to enhanced performance.en_GB
dc.description.sponsorshipUQ Graduate School Scholarshipen_GB
dc.description.sponsorshipAustralian Research Council (ARC)en_GB
dc.identifier.citationVol. 11:, article e14687en_GB
dc.identifier.doihttps://doi.org/10.7717/peerj.14687
dc.identifier.grantnumberFT190100129en_GB
dc.identifier.urihttp://hdl.handle.net/10871/132306
dc.identifierORCID: 0000-0002-6720-1961 (Farris, Dominic)
dc.language.isoenen_GB
dc.publisherPeerJen_GB
dc.rights© 2023 Su et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.en_GB
dc.subjectAccentuated eccentric loadingen_GB
dc.subjectMusculoskeletal modellingen_GB
dc.subjectBiomechanicsen_GB
dc.subjectExercise trainingen_GB
dc.subjectSports performanceen_GB
dc.subjectSports scienceen_GB
dc.subjectOpenSimen_GB
dc.subjectComputer simulationen_GB
dc.titleMusculoskeletal simulations to examine the effects of accentuated eccentric loading (AEL) on jump heighten_GB
dc.typeArticleen_GB
dc.date.available2023-01-23T11:35:35Z
dc.identifier.issn2167-8359
dc.descriptionThis is the final version. Available on open access from PeerJ via the DOI in this recorden_GB
dc.descriptionData Availability: The following information was supplied regarding data availability: The simulation codes, simulation animations, and results are available in the Supplemental Files.en_GB
dc.identifier.journalPeerJen_GB
dc.relation.ispartofPeerJ – the Journal of Life & Environmental Sciences
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2022-12-13
dcterms.dateSubmitted2022-04-01
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-01-23
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-01-23T11:33:39Z
refterms.versionFCDVoR
refterms.dateFOA2023-01-23T11:35:40Z
refterms.panelAen_GB


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© 2023 Su et al.
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
Except where otherwise noted, this item's licence is described as © 2023 Su et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.