Evidence map›Paper›PMID 27756571›Full record

ArticleJournal of biomechanics2016

Evaluation of measurements of propulsion used to reflect changes in walking speed in individuals poststroke.

HaoYuan Hsiao, Thomas M Zabielski, Jacqueline A Palmer, Jill S Higginson, Stuart A Binder-Macleod

Abstract readEvaluation Study
In one paragraph

Article in Journal of biomechanics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Effects of unilateral real-time biofeedback on propulsive forces during gait.Journal of neuroengineering and rehabilitation · 2017
    Trial
  5. Article
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  9. Walking speed can be modulated on an adaptive split-belt treadmill.bioRxiv : the preprint server for biology · 2025
    Article
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  15. How Important is Position in Adaptive Treadmill Control?Journal of biomechanical engineering · 2024
    Article
  16. Article
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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

5 authors.

HaoYuan HsiaoBiomechanics and Movement Science Program, University of Delaware, DE 19716, United States. Electronic address: haoyuan@udel.edu.
Thomas M ZabielskiDepartment of Kinesiology and Applied Physiology, University of Delaware, DE 19716, United States. Electronic address: tzab@udel.edu.
Jacqueline A PalmerBiomechanics and Movement Science Program, University of Delaware, DE 19716, United States. Electronic address: palmerja@udel.edu.
Jill S HigginsonDepartment of Mechanical Engineering, University of Delaware, DE 19716, United States. Electronic address: higginson@udel.edu.
Stuart A Binder-MacleodDepartment of Physical Therapy, University of Delaware, DE 19716, United States. Electronic address: sbinder@udel.edu.

Funding

Robotic Exoskeletons, FES, and Biomechanics: Treating Movement DisordersR01HD038582 · NICHD · UNIVERSITY OF DELAWARE · PI BINDER-MACLEOD, STUART A. · 2002 to 2012
$6.1M
Fast Treadmill Training/Functional Electrical Stimulation to Improve WalkingR01NR010786 · NINR · UNIVERSITY OF DELAWARE · PI BINDER-MACLEOD, STUART A. · 2007 to 2011
$2.8M
Active Distributed Electrode Array Network for Electrical Stimulation TherapyR44HD062065 · NICHD · CUSTOMKYNETICS, INC. · PI HARTMAN, ERIC C · 2011 to 2012
$964k
NICHD NIH HHS R01 HD038582NICHD NIH HHS R44 HD062065NINR NIH HHS R01 NR010786
6 · The paper itself

Abstract

Recent rehabilitation approaches for individuals poststroke have focused on improving walking speed because it is a reliable measurement that is associated with quality of life. Previous studies have demonstrated that propulsion, the force used to propel the body forward, determines walking speed. However, there are several different ways of measuring propulsion and no studies have identified which measurement best reflects differences in walking speed. The primary purposes of this study were to determine for individuals poststroke, which measurement of propulsion (1) is most closely related to their self-selected walking speeds and (2) best reflects changes in walking speed within a session. Participants (N=43) with chronic poststroke hemiparesis walked at their self-selected and maximal walking speeds on a treadmill. Propulsive impulse, peak propulsive force, and mean propulsive value (propulsive impulse divided by duration) were analyzed. In addition, each participant׳s cadence was calculated. Pearson correlation coefficients were used to determine the relationships between different measurements of propulsion versus walking speed as well as changes in propulsion versus changes in walking speed. Stepwise linear regression was used to determine which measurement of propulsion best predicted walking speed and changes in walking speed. The results showed that all 3 measurements of propulsion were correlated to walking speed, with peak propulsive force showed the strongest correlation. Similarly, when participants increased their walking speeds, changes in peak propulsive forces showed the strongest correlation to changes in walking speed. In addition, multiplying each measurement by cadence improved the correlations. The present study suggests that measuring peak propulsive force and cadence may be most appropriate of the variables studied to characterize propulsion in individuals poststroke.

Indexed as

Walking SpeedAgedExercise TestFemaleHumansMaleMiddle AgedParesisQuality of LifeRecovery of FunctionStrokeStroke RehabilitationGaitGround reaction forcePropulsionSpeedStroke

Identifiers

PMID27756571
PMCPMC5164961

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.