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1000 Titel
  • Addressing muscle–tendon imbalances in adult male athletes with personalized exercise prescription based on tendon strain
1000 Autor/in
  1. Weidlich, Kolja |
  2. Domroes, Theresa |
  3. Bohm, Sebastian |
  4. Arampatzis, Adamantios |
  5. Mersmann, Falk |
1000 Verlag Springer Berlin Heidelberg
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-06-06
1000 Erschienen in
1000 Quellenangabe
  • 124(11):3201-3214
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s00421-024-05525-z |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11519156/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:sec> <jats:title>Purpose</jats:title> <jats:p>Imbalances of muscle strength and tendon stiffness can increase the operating strain of tendons and risk of injury. Here, we used a new approach to identify muscle–tendon imbalances and personalize exercise prescription based on tendon strain during maximum voluntary contractions (ε<jats:sub>max</jats:sub>) to mitigate musculotendinous imbalances in male adult volleyball athletes.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>Four times over a season, we measured knee extensor strength and patellar tendon mechanical properties using dynamometry and ultrasonography. Tendon micromorphology was evaluated through an ultrasound peak spatial frequency (PSF) analysis. While a control group (<jats:italic>n</jats:italic> = 12) continued their regular training, an intervention group (<jats:italic>n</jats:italic> = 10) performed exercises (3 × /week) with personalized loads to elicit tendon strains that promote tendon adaptation (i.e., 4.5–6.5%).</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>Based on a linear mixed model, ε<jats:sub>max</jats:sub> increased significantly in the control group over the 9 months of observation (<jats:italic>p</jats:italic><jats:sub>Con</jats:sub> = 0.010), while there was no systematic change in the intervention group (<jats:italic>p</jats:italic><jats:sub>Int</jats:sub> = 0.575). The model residuals of ε<jats:sub>max</jats:sub>, as a measure of imbalances in muscle–tendon adaptation, demonstrated a significant reduction over time exclusively in the intervention group (<jats:italic>p</jats:italic><jats:sub>Int</jats:sub> = 0.007). While knee extensor muscle strength increased in both groups by ~ 8% (<jats:italic>p</jats:italic><jats:sub>Con</jats:sub> &lt; 0.001, <jats:italic>p</jats:italic><jats:sub>Int</jats:sub> = 0.064), only the intervention group showed a trend toward increased normalized tendon stiffness (<jats:italic>p</jats:italic><jats:sub>Con</jats:sub> = 0.824, <jats:italic>p</jats:italic><jats:sub>Int</jats:sub> = 0.051). PSF values did not change significantly in either group (<jats:italic>p</jats:italic> &gt; 0.05).</jats:p> </jats:sec><jats:sec> <jats:title>Conclusion</jats:title> <jats:p>These results suggest that personalized exercise prescription can reduce muscle–tendon imbalances in athletes and could provide new opportunities for tendon injury prevention.</jats:p> </jats:sec>
1000 Sacherschließung
lokal Tendon strain
lokal Muscle Strength/physiology [MeSH]
lokal Volleyball/physiology [MeSH]
lokal Adult [MeSH]
lokal Muscle, Skeletal/physiology [MeSH]
lokal Humans [MeSH]
lokal Prevention
lokal Athletes [MeSH]
lokal Exercise Therapy/methods [MeSH]
lokal Plyometric loading
lokal Individualization
lokal Muscle–tendon diagnostics
lokal Tendons/physiology [MeSH]
lokal Exercise/physiology [MeSH]
lokal Original Article
lokal Patellar Ligament/physiology [MeSH]
lokal Male [MeSH]
lokal Patellar tendon adaptation
lokal Young Adult [MeSH]
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/V2VpZGxpY2gsIEtvbGph|https://frl.publisso.de/adhoc/uri/RG9tcm9lcywgVGhlcmVzYQ==|https://frl.publisso.de/adhoc/uri/Qm9obSwgU2ViYXN0aWFu|https://frl.publisso.de/adhoc/uri/QXJhbXBhdHppcywgQWRhbWFudGlvcw==|https://orcid.org/0000-0001-7180-7109
1000 Hinweis
  • DeepGreen-ID: e2c438538fce443b961ce731ae055fba ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Förderer
  1. Bundesinstitut für Sportwissenschaft |
  2. Humboldt-Universität zu Berlin |
1000 Fördernummer
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  2. -
1000 Förderprogramm
  1. -
  2. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Bundesinstitut für Sportwissenschaft |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Humboldt-Universität zu Berlin |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6520167.rdf
1000 Erstellt am 2025-07-05T23:02:55.968+0200
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1000 Zuletzt bearbeitet 2025-08-08T09:15:46.563+0200
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