Evidence map›Paper›PMID 41385303›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2026

Gait variability predicts falls in older adults with multiple sclerosis.

Manuel E Hernandez, Robert W Motl, Frederick W Foley, Meltem Izzetoglu, Mark Wagshul, Roee Holtzer

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Manuel E HernandezDepartment of Biomedical and Translational Sciences, Carle Illinois College of Medicine, University of Illinois Urbana-Champaign, Urbana, Illinois, United States.ORCID 0000-0002-3501-9508
Robert W MotlDepartment of Kinesiology and Nutrition, College of Applied Health Sciences, University of Illinois Chicago, Chicago, Illinois, United States.
Frederick W FoleyFerkauf Graduate School of Psychology, Yeshiva University, Bronx, New York, United States.
Meltem IzzetogluElectrical and Computer Engineering, Villanova University, Villanova, Pennsylvania, United States.ORCID 0000-0002-1768-3384
Mark WagshulDepartment of Radiology, Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York, United States.
Roee HoltzerFerkauf Graduate School of Psychology, Yeshiva University, Bronx, New York, United States.ORCID 0000-0001-6639-0724

Funding

Brain Predictors of Mobility and Falls in Older Adults with Multiple SclerosisR01NS109023 · NINDS · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI HOLTZER, ROEE · 2019 to 2023
$3.4M
NIH HHS R01NS109023
6 · The paper itself

Abstract

backgroundFalls and gait variability are prevalent in older adults with and without multiple sclerosis. Gait variability has been associated with an increased likelihood of reporting falls in older adults, yet its prediction of falls in older adults with multiple sclerosis (OAMS) remains unclear.

methodsWe examined whether gait variability measured under single- and dual-task walking conditions predicted falls during longitudinal follow-up in OAMS and healthy older adults (HOA). HOA (n = 106, mean age = 69 years) and OAMS (n = 95, mean age = 65 years) completed a single and dual-task walking paradigm and reported falls during a longitudinal follow-up. Gait variability was measured using an instrumented walkway.

resultsCox-regression models indicated that larger coefficients of variation (CVs) of dual-task-walk stride length (HR = 1.04, p = .017), dual-task-walk swing time (HR = 1.03, p = .044), and single-task-walk swing time (HR = 1.05, p < .001) were significantly associated with increased hazards of incident falls, even after adjustment. Cohort-stratified cox-regression models with adjustment showed that larger single-task-walk swing time CV was associated with a higher hazard of incident falls in HOA (HR = 1.10, p = .028), while larger CVs in dual-task-walk stride velocity (HR = 1.04, p = .017), stride length (HR = 1.06, p = .016), and swing time (HR = 1.05, p = .018) were significantly associated with a higher hazard of incident falls in OAMS.

conclusionsFindings suggest that greater gait variability predicts increased fall risk in OAMS and HOA participants, with a 1% increase in CV associated with a 4-10% fall hazard increase. However, walking condition influenced this association with single-task-walk variability being predictive in HOA, whereas dual-task-walk variability is more predictive in OAMS.

Indexed as

Accidental FallsGaitMultiple SclerosisAgedFemaleHumansLongitudinal StudiesMaleMiddle AgedProportional Hazards ModelsAgingFallsGait variabilityMultiple sclerosis

Identifiers

PMID41385303
PMCPMC13376660

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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.