Evidence map›Paper›PMID 29031999›Full record

ArticleGait & posture2018

Analysis of biases in dynamic margins of stability introduced by the use of simplified center of mass estimates during walking and turning.

Kathryn L Havens, Tatri Mukherjee, James M Finley

Abstract read
In one paragraph

Article in Gait & posture, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 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

50 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Visual Context Influences Lateral Balance While Walking on Winding Paths.bioRxiv : the preprint server for biology · 2026
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  11. Identification of Subtypes of Post-Stroke and Neurotypical Gait Behaviors Using Neural Network Analysis of Gait Cycle Kinematics.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025
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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.

Kathryn L HavensDivision of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, CA, 90033, USA. Electronic address: khavens@usc.edu.
Tatri MukherjeeDivision of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, CA, 90033, USA. Electronic address: tatri1990@gmail.com.
James M FinleyDivision of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, CA, 90033, USA. Electronic address: jmfinley@usc.edu.

Funding

Interdisciplinary Engineering Career Development Center in Movement and Rehabilitation SciencesK12HD073945 · NICHD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI DEWALD, JULIUS P, REINKENSMEYER, DAVID JAY · 2012 to 2021
$7.9M
NICHD NIH HHS K12 HD073945
6 · The paper itself

Abstract

The ability to control the body's center of mass (CoM) is critical for preventing falls, which are a major health concern in aging populations. Control of the CoM has been assessed by characterizing dynamic margins of stability (MoS) which capture the dynamic relationship between the CoM and the base of support. Accurate estimation of CoM dynamics is best accomplished using a full-body marker set. However, a number of simplified estimates have been used throughout literature. Here, we determined the biases and sources of bias when computing MoS using four simplified CoM models, and we characterized how these biases varied in straight walking versus turning. CoM kinematics were characterized using a full-body marker set, the lower extremities and trunk, lower extremities only, an average of four pelvic markers, and one pelvic marker alone. Significant bias was demonstrated for most methods and was larger during turning tasks compared to straight walking. In the fore-aft direction, only overestimates in the MoS were observed, and these ranged from 15 to 110% larger than the true MoS value. In the mediolateral direction, both under- and over-estimates were observed and ranged from -175 to 225%. Across tasks, bias was smallest when using the lower extremity plus trunk (-23 to 62%) and pelvis average methods (-71 to 43%). Sources of bias were attributed to misestimates of CoM height, velocity, and position. Together, our findings suggest that the 1) lower extremity and trunk model and 2) pelvis average model should be considered in future studies to minimize bias when simplified models of CoM dynamics are desired.

Indexed as

RotationAdultBiasBiomechanical PhenomenaFemaleHealthy VolunteersHumansLower ExtremityMaleModels, BiologicalPelvisPostural BalanceTorsoWalkingBalanceCenter of mass estimatesMargin of stabilityTurningWalking

Identifiers

PMID29031999
PMCPMC5690861

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Registered trials

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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.