Evidence map›Paper›PMID 42114827›Full record

ArticleJournal of applied biomechanics2026

Assessing the Validity of Whole-Body and Segmental Angular Momenta During Walking in Older Individuals With and Without Transtibial Limb Loss.

Arianna S Monteiro, Nicholas P Fey, Matthew J Major

Abstract readValidation Study
In one paragraph

Article in Journal of applied biomechanics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Arianna S MonteiroWalker Department of Mechanical Engineering, The University of Texas at Austin, Austin, TX, USA.ORCID 0009-0003-9015-1450
Nicholas P FeyWalker Department of Mechanical Engineering, The University of Texas at Austin, Austin, TX, USA.ORCID 0000-0001-9022-1971
Matthew J MajorJesse Brown VA Medical Center, Chicago, IL, USA.ORCID 0000-0002-2330-4619

Funding

RRD VA IK2 RX001322
6 · The paper itself

Abstract

Older individuals (≥65 y old) with and without lower limb loss experience a high prevalence of falls. Minimizing fall risk depends on an individual's ability to maintain dynamic balance. A metric often used to characterize an individual's ability to regulate dynamic balance is angular momenta during steady-state walking. However, a gap exists in the validity of angular momenta as a measure of dynamic balance in these cohorts. The goal of this study was to evaluate the validity of angular momenta in older individuals with and without transtibial amputation during walking through assessments of construct and criterion validity. Construct and criterion validity were evaluated through correlations of momenta with clinical balance measures and prospective fall numbers over 12 months, respectively. For context, falls were categorized by pattern and scenario. Angular momenta of walking demonstrated evidence of construct and criterion validity in both groups through moderate-to-strong correlations with clinical balance measures and prospective falls. These relationships also varied between groups. The most common pattern and scenario of falls in both groups were trips and level-ground walking, respectively. This study contributes evidence that angular momentum during level-ground walking is a valid measure of dynamic balance in older persons with and without transtibial amputation.

Indexed as

Amputation, SurgicalPostural BalanceWalkingAccidental FallsAgedAged, 80 and overBiomechanical PhenomenaFemaleHumansMaleReproducibility of ResultsTibiaagingamputationbalancefallspsychometrics

Identifiers

PMID42114827
PMCPMC13317139

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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.