Evidence map›Paper›PMID 23516062›Full record

ReviewJournal of the Royal Society, Interface2013

Assessing the stability of human locomotion: a review of current measures.

S M Bruijn, O G Meijer, P J Beek, J H van Dieën

Erratum issuedOpen access · bronzeAbstract readReview
In one paragraph

Review in Journal of the Royal Society, Interface, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 257 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
257citing papers in PubMed, 3 pooled it
69.2field-weighted citation impact, top 1% 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.

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

257 citing papers in PubMed, 3 syntheses or guidelines pooled it, 663 citations in OpenAlex.

  1. Assessing running stability: a systematic review of methods.BMC sports science, medicine & rehabilitation · 2026
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197 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

S M BruijnMotor Control Laboratory, Department of Biomedical Kinesiology, Research Centre for Movement Control and Neuroplasticity, K.U. Leuven, Belgium. s.m.bruijn@gmail.com
O G Meijer
P J Beek
J H van Dieën
KU Leuven · BESecond Affiliated Hospital of Fujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Falling poses a major threat to the steadily growing population of the elderly in modern-day society. A major challenge in the prevention of falls is the identification of individuals who are at risk of falling owing to an unstable gait. At present, several methods are available for estimating gait stability, each with its own advantages and disadvantages. In this paper, we review the currently available measures: the maximum Lyapunov exponent (λS and λL), the maximum Floquet multiplier, variability measures, long-range correlations, extrapolated centre of mass, stabilizing and destabilizing forces, foot placement estimator, gait sensitivity norm and maximum allowable perturbation. We explain what these measures represent and how they are calculated, and we assess their validity, divided up into construct validity, predictive validity in simple models, convergent validity in experimental studies, and predictive validity in observational studies. We conclude that (i) the validity of variability measures and λS is best supported across all levels, (ii) the maximum Floquet multiplier and λL have good construct validity, but negative predictive validity in models, negative convergent validity and (for λL) negative predictive validity in observational studies, (iii) long-range correlations lack construct validity and predictive validity in models and have negative convergent validity, and (iv) measures derived from perturbation experiments have good construct validity, but data are lacking on convergent validity in experimental studies and predictive validity in observational studies. In closing, directions for future research on dynamic gait stability are discussed.

Indexed as

Models, BiologicalPostural BalanceAccidental FallsBiomechanical PhenomenaGaitHumansLocomotionRisk Factors

Identifiers

PMID23516062
PMCPMC3645408
OpenAlexW2114121779

What OpenQuestion holds

Textmetadata
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.