Evidence map›Paper›PMID 39268226›Full record

ArticleInternational journal of sports physical therapy2024

Hop Distance Symmetry Moderately Reflects Knee Biomechanics Symmetry During Landing But Not For Controlled Propulsions.

Stefano Di Paolo, Naoaki Ito, Kayla D Seymore, Haraldur B Sigurðsson, Laura Bragonzoni, Stefano Zaffagnini, Lynn Snyder-Mackler, Karin Gravare Silbernagel

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Article in International journal of sports physical therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Stefano Di PaoloClinica Ortopedica e Traumatologica II IRCCS Istituto Ortopedico Rizzoli.
Naoaki ItoDepartment of Physical Therapy University of Delaware.
Kayla D SeymoreDepartment of Physical Therapy University of Delaware.
Haraldur B SigurðssonSchool of Health Sciences University of Iceland.
Laura BragonzoniLife Quality Studies University of Bologna.
Stefano ZaffagniniClinica Ortopedica e Traumatologica II IRCCS Istituto Ortopedico Rizzoli.
Lynn Snyder-MacklerDepartment of Physical Therapy University of Delaware.
Karin Gravare SilbernagelDepartment of Physical Therapy University of Delaware.

Funding

Dynamic Stability in the ACL Injured KneeR37HD037985 · NICHD · UNIVERSITY OF DELAWARE · PI GRAVARE SILBERNAGEL, KARIN M E · 2012 to 2021
$4.2M
Recovery of symptoms, function, tendon structure and mechanical properties in patients with Achilles Tendinopathy: A comparison between men and womenR01AR072034 · NIAMS · UNIVERSITY OF DELAWARE · PI GRAVARE SILBERNAGEL, KARIN M E · 2018 to 2022
$2.5M
NIAMS NIH HHS R01 AR072034NICHD NIH HHS R37 HD037985
6 · The paper itself

Abstract

Background: Landing with poor knee sagittal plane biomechanics has been identified as a risk factor for Anterior Cruciate Ligament (ACL) injury. However, it is unclear if the horizontal hop test battery reflects knee function and biomechanics. Hypothesis/Purpose: To investigate the correlation between clinical limb symmetry index (LSI) and landing and propulsion knee biomechanics during the hop test battery using markerless motion capture. Study Design: Cross-sectional biomechanics laboratory study. Methods: Forty-two participants with and without knee surgery (age 28.0 ± 8.0 years) performed the hop test battery which consisted of a single hop for distance, crossover hop, triple hop, and 6-m timed hop in the order listed. Eight high speed cameras were used to collect simultaneous 3D motion data and Theia 3D (Theia Markerless Inc.) was used to generate 3D body model files. Lower limb joint kinematics were calculated in Visual3D. Correlation (Spearman's ρ) was computed between clinical LSI and symmetry in peak and initial contact (IC) knee flexion angle during propulsion and landing phases of each movement. Results: In the single hop, clinical LSI showed positive correlation with kinematic LSI at peak landing (ρ= 0.39, p=0.011), but no correlation at peak propulsion (ρ= -0.03, p=0.851). In the crossover hop, non-significant correlations were found in both propulsion and landing. In the triple hop, positive correlation was found at peak propulsion (ρ= 0.38, p=0.027), peak landing (ρ= 0.48 - 0.66, p<0.001), and last landing IC (ρ= 0.45, p=0.009). In the timed hop, peak propulsion showed positive correlation (ρ= 0.51, p=0.003). Conclusions: Single hop and triple hop distance symmetry reflected landing biomechanical symmetry better than propulsion symmetry. Poor scores on the hop test battery reflect asymmetrical knee landing biomechanics, emphasizing the importance of continuing to use the hop test battery as part of clinical decision making. Level of Evidence: 3b.

Indexed as

ACLhop testmarkerless motion capture

Identifiers

PMID39268226
PMCPMC11392465

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.