Evidence map›Paper›PMID 38775922›Full record

ArticleSports medicine - open2024

Walking on a Balance Beam as a New Measure of Dynamic Balance to Predict Falls in Older Adults and Patients with Neurological Conditions.

Tibor Hortobágyi, Tomas Vetrovsky, Azusa Uematsu, Lianne Sanders, Andréia Abud da Silva Costa, Rosangela Alice Batistela, Renato Moraes, Urs Granacher, Szilvia Szabó-Kóra, Bence Csutorás and 2 more

Registry-linked trialAbstract read
In one paragraph

Article in Sports medicine - open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03532984 (Beam Walking to Assess Dynamic Balance in Health and Disease), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT03532984 unknown statusnot on this map

Beam Walking to Assess Dynamic Balance in Health and Disease: A Protocol for the 'BEAM' Multi-center Observational Study

TypeobservationalSponsorUniversity Medical Center GroningenRan2018 to 2020Enrolled432ConditionsAging, Parkinson Disease, Stroke, DementiaArmsBeam test to predict falls
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
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

12 authors.

Tibor Hortobágyi *Department of Neurology, Somogy County Kaposi Mór Teaching Hospital, 7400, Kaposvár, Hungary.
Tomas VetrovskyFaculty of Physical Education and Sport, Charles University, Prague, Czech Republic.
Azusa UematsuFaculty of Sociology, Otemon Gakuin University, Ibaraki, Osaka, 567-8502, Japan.
Lianne SandersLentis Center for Rehabilitation, Groningen, The Netherlands.
Andréia Abud da Silva CostaCenter for Human Movement Sciences, Medical Center, University of Groningen, University of Groningen, 9713 AV, Groningen, The Netherlands.
Rosangela Alice BatistelaBiomechanics and Motor Control Lab, School of Physical Education and Sport of Ribeirao Preto, University of Sao Paulo, Ribeirão Preto, Brazil.
Renato MoraesBiomechanics and Motor Control Lab, School of Physical Education and Sport of Ribeirao Preto, University of Sao Paulo, Ribeirão Preto, Brazil.
Urs GranacherDepartment of Sport and Sport Science, Exercise and Human Movement Science, University of Freiburg, Freiburg, Germany. Urs.Granacher@sport.uni-freiburg.de.ORCID http://orcid.org/0000-0002-7095-813X
Szilvia Szabó-KóraFaculty of Health Sciences, Doctoral School of Health Sciences, University of Pécs, 7622, Pécs, Hungary.
Bence CsutorásDepartment of Neurology, Somogy County Kaposi Mór Teaching Hospital, 7400, Kaposvár, Hungary.
Klaudia SzéphelyiFaculty of Health Sciences, Doctoral School of Health Sciences, University of Pécs, 7622, Pécs, Hungary.
József Tollár *Department of Neurology, Somogy County Kaposi Mór Teaching Hospital, 7400, Kaposvár, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBeam walking is a new test to estimate dynamic balance. We characterized dynamic balance measured by the distance walked on beams of different widths in five age groups of healthy adults (20, 30, 40, 50, 60 years) and individuals with neurological conditions (i.e., Parkinson, multiple sclerosis, stroke, age: 66.9 years) and determined if beam walking distance predicted prospective falls over 12 months.

methodsIndividuals with (n = 97) and without neurological conditions (n = 99, healthy adults, age 20-60) participated in this prospective longitudinal study. Falls analyses over 12 months were conducted. The summed distance walked under single (walking only) and dual-task conditions (walking and serial subtraction by 7 between 300 to 900) on three beams (4, 8, and 12-cm wide) was used in the analyses. Additional functional tests comprised grip strength and the Short Physical Performance Battery.

resultsBeam walking distance was unaffected on the 12-cm-wide beam in the healthy adult groups. The distance walked on the 8-cm-wide beam decreased by 0.34 m in the 20-year-old group. This reduction was ~ 3 × greater, 1.1 m, in the 60-year-old group. In patients, beam walking distances decreased sharply by 0.8 m on the 8 versus 12 cm beam and by additional 1.6 m on the 4 versus 8 cm beam. Beam walking distance under single and dual-task conditions was linearly but weakly associated with age (R

conclusionBalance beam walking is a new but worthwhile measure of dynamic balance to predict falls in the combined population of healthy adults and patients with neurological conditions. Future studies are needed to evaluate the predictive capability of beam walking separately in more homogenous populations. Clinical Trial Registration Number NCT03532984.

Indexed as

AgingBalanceDual tasksFallsGait

Identifiers

PMID38775922
PMCPMC11111647

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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 Socratic graph.