Evidence map›Paper›PMID 31678694›Full record

ArticleGait & posture2020

Functional resistance training during walking: Mode of application differentially affects gait biomechanics and muscle activation patterns.

Edward P Washabaugh, Thomas E Augenstein, Chandramouli Krishnan

Registry-linked trialOpen access · greenAbstract readEvaluation Study
In one paragraph

Article in Gait & posture, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06673810 (Effects Of Ankle Weighted Cuffs Training on Kinesthetic Awareness and Toe Walking in Children With Autism Spectrum Disorder.), which is not on this map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06673810 nacompletednot on this mapstarted 2024, after this paper: background citation

Effects Of Ankle Weighted Cuffs Training on Kinesthetic Awareness and Toe Walking in Children With Autism Spectrum Disorder.

TypeinterventionalSponsorRiphah International UniversityRan2024 to 2025Enrolled44ConditionsAutism Spectrum DisorderArmsAnkle Weighted Cuffs Training Along with Routine Physical Therapy Exercises, Routine Physical Therapy Exercises
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

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  14. The "Journal of functional morphology and kinesiology · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Edward P WashabaughDepartment of Physical Medicine and Rehabilitation, Michigan Medicine, Ann Arbor, MI, USA; Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
Thomas E AugensteinDepartment of Physical Medicine and Rehabilitation, Michigan Medicine, Ann Arbor, MI, USA; Michigan Robotics Institute, University of Michigan, Ann Arbor, MI, USA.
Chandramouli KrishnanDepartment of Physical Medicine and Rehabilitation, Michigan Medicine, Ann Arbor, MI, USA; Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA; Michigan Robotics Institute, University of Michigan, Ann Arbor, MI, USA; School of Kinesiology, University of Michigan, Ann Arbor, MI, USA. Electronic address: mouli@umich.edu.
Michigan Medicine · USUniversity of Michigan–Ann Arbor · US

Funding

Functional Resistance Training during Gait: A Novel Intervention to Improve Knee Function after ACL ReconstructionR21HD092614 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KRISHNAN, CHANDRAMOULI, PALMIERI-SMITH, RIANN MARIE · 2017 to 2018
$428k
NICHD NIH HHS R21 HD092614
6 · The paper itself

Abstract

backgroundTask-specific loading of the limbs-termed as functional resistance training-is commonly used in gait rehabilitation; however, the biomechanical and neuromuscular effects of various forms of functional resistance training have not been studied systematically. This information is crucial for correctly selecting the appropriate mode of functional resistance training when treating individuals with gait disorders. RESEARCH QUESTION: To comprehensively evaluate the biomechanical (i.e., joint moment and power) and muscle activation changes with different forms of functional resistance training that are commonly used in clinics and research using biomechanical simulation-based analyses.

methodsWe developed simulations of functional resistance training during walking using OpenSim (Gait2354, 23 degrees of freedom and 54 muscles) and custom MATLAB scripts. We investigated five modes of functional resistance training that have been commonly used in clinics or in research: (1) a weight attached at the ankle, (2) an elastic band attached at the ankle, (3) a viscous device attached to the hip and knee, (4) a weight attached at the pelvis, and (5) a constant backwards pulling force at the pelvis. Lower-extremity joint moments and powers were computed using inverse dynamics and muscle activations were estimated using computed muscle control while walking with each device under multiple resistance levels: normal walking with no resistance, and walking with 30, 60, and 90 Newtons of resistance.

resultsThe results indicate that the way in which resistance is applied during gait training differentially affects the internal joint moments, powers, and muscle activations as well as the joints and phase of the gait cycle where the resistance was experienced. SIGNIFICANCE: The results highlight the importance of understanding the joints and muscles that are targeted by various modes of functional resistance training and carefully choosing the best mode of training that meets the specific therapeutic needs of the patient.

Indexed as

Biomechanical PhenomenaComputer SimulationGaitHumansModels, AnatomicMuscle ContractionMuscle, SkeletalResistance TrainingWalkingWeight-BearingComputed muscle controlFunctional strength trainingInverse dynamicsKinematicsModeling

Identifiers

PMID31678694
PMCPMC6905622
OpenAlexW2981572844

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.