NCT03532984

Brief Summary

Background: Dynamic balance keeps the vertical projection of the center of mass within the base of support while the center of mass moves. The age-related decrease in dynamic balance is a risk factor for falls. Dynamic balance tests are used to predict the risks for falls and eventual falls but the psychometric properties of most tests assessing dynamic balance are unsatisfactory and comprise no actual loss of balance while walking. Objectives: Using beam walking distance as a measure of dynamic balance, we will determine the psychometric properties, lifespan and patient reference values, the relationship with selected 'dynamic balance tests', and the accuracy of beam walking distance to predict falls. Methods: This cross-sectional observational study will examine healthy adults in 7 decades (n=432) at 4 centers. Center 5 will examine patients (n=100) diagnosed with Parkinson's disease, multiple sclerosis, stroke, and balance disorders. At Test 1, all participants will be measured for demographics, medical history, grip and leg strength, short physical performance battery, static balance on a force platform, and dynamic balance using beam walking (4m-long, 4, 8, and 12 cm wide) under single (beam walking only) and dual task conditions (beam walking while concurrently performing an arithmetic task). In addition, cognitive function (global cognition, attention, executive function, processing speed, memory) will be assessed. Patients and healthy participants age 50+ will be additionally measured for fear of falling, history of falls, miniBESTest, functional reach on a force platform, timed up and go, and reactive balance. At Test 2, 7-10 days after Test 1, healthy adults young and age 50+ (n=40) will be re-tested for reliability of beam walking performance. All participants age 50+ will be re-called to report fear of falling and fall history 6 and 12 months after Test 1. Conclusion: The investigators expect to find that beam walking performance vis-à-vis the traditionally used balance outcomes predicts more accurately fall risks and falls.

Trial Health

50
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
432

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Jun 2018

Geographic Reach
5 countries

5 active sites

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

April 27, 2018

Completed
25 days until next milestone

First Posted

Study publicly available on registry

May 22, 2018

Completed
10 days until next milestone

Study Start

First participant enrolled

June 1, 2018

Completed
12 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

May 31, 2019

Completed
1 year until next milestone

Study Completion

Last participant's last visit for all outcomes

May 31, 2020

Completed
Last Updated

May 22, 2018

Status Verified

May 1, 2018

Enrollment Period

12 months

First QC Date

April 27, 2018

Last Update Submit

May 9, 2018

Conditions

Outcome Measures

Primary Outcomes (1)

  • distance in balance beam walking under single and dual-task conditions

    Outcomes are the sum of length traversed (3-5 trials, 4m each, 12m maximum), average velocity, number of steps, and average step length determined from video tape recordings (60Hz) made at 90° relative to the walking direction with full beam length in view using off-the-shelf HD video cameras (Kinovea software).

    2 hours

Secondary Outcomes (17)

  • Physical activity

    10 minutes

  • Fall history

    10 minutes

  • Falls efficacy scale-international

    10 minutes

  • Balance confidence

    15 minutes

  • Mini-BESTest

    20 minutes

  • +12 more secondary outcomes

Study Arms (8)

adults aged 20-29

healthy adults will perform the following tests: Functional tests Mini BESTest Mobility, SPPB Static balance Proactive balance (Reach, TUG) Reactive balance Dynamic balance (beam test) Grip, leg strength Cognitive tests Global cognition Attention, executive f. Processing speed Memory

adults aged 30-39

healthy adults will perform the following tests: Functional tests Mini BESTest Mobility, SPPB Static balance Proactive balance (Reach, TUG) Reactive balance Dynamic balance (beam test) Grip, leg strength Cognitive tests Global cognition Attention, executive f. Processing speed Memory

adults aged 40-49

healthy adults will perform the following tests: Functional tests Mini BESTest Mobility, SPPB Static balance Proactive balance (Reach, TUG) Reactive balance Dynamic balance (beam test) Grip, leg strength Cognitive tests Global cognition Attention, executive f. Processing speed Memory

adults aged 50-59

healthy adults will perform the following tests: Functional tests Mini BESTest Mobility, SPPB Static balance Proactive balance (Reach, TUG) Reactive balance Dynamic balance (beam test to predict falls) Grip, leg strength Cognitive tests Global cognition Attention, executive f. Processing speed Memory In the follow up study 6, 12 months after baseline, fear of falling and fall history will be assessed in 50+

Diagnostic Test: Beam test to predict falls

adults aged 60-69

healthy adults will perform the following tests: Functional tests Mini BESTest Mobility, SPPB Static balance Proactive balance (Reach, TUG) Reactive balance Dynamic balance (beam test to predict falls) Grip, leg strength Cognitive tests Global cognition Attention, executive f. Processing speed Memory In the follow up study 6, 12 months after baseline, fear of falling and fall history will be assessed in 50+

Diagnostic Test: Beam test to predict falls

adults aged 70-79

healthy adults will perform the following tests: Functional tests Mini BESTest Mobility, SPPB Static balance Proactive balance (Reach, TUG) Reactive balance Dynamic balance (beam test to predict falls) Grip, leg strength Cognitive tests Global cognition Attention, executive f. Processing speed Memory In the follow up study 6, 12 months after baseline, fear of falling and fall history will be assessed in 50+

Diagnostic Test: Beam test to predict falls

adults aged 80+

healthy adults will perform the following tests: Functional tests Mini BESTest Mobility, SPPB Static balance Proactive balance (Reach, TUG) Reactive balance Dynamic balance (beam test to predict falls) Grip, leg strength Cognitive tests Global cognition Attention, executive f. Processing speed Memory In the follow up study 6, 12 months after baseline, fear of falling and fall history will be assessed in 50+

Diagnostic Test: Beam test to predict falls

geriatric patients

healthy adults will perform the following tests: Functional tests Mini BESTest Mobility, SPPB Static balance Proactive balance (Reach, TUG) Reactive balance Dynamic balance (beam test to predict falls) Grip, leg strength Cognitive tests Global cognition Attention, executive f. Processing speed Memory In the follow up study 6, 12 months after baseline, fear of falling and fall history will be assessed in 50+

Diagnostic Test: Beam test to predict falls

Interventions

Dynamic balance will be determined in all participants during beam walking. The beams are 4m long, 2cm high, and 4, 8, and 12cm wide. After a practice trial, participants will perform three trials on each width with and without a calculation task. Trials will be block-randomized based on beam width then on task. Instructions: 'Traverse the entire length of the beam safely at your preferred speed without stepping off, facing forward, with your arms folded in front of your chest. Trials end when you step off, walk sideways, or unfold the arms.' Outcomes are the sum of length traversed, average velocity, number of steps, and average step length determined from video recordings made at 90° relative to the walking direction with full beam length in view using off-the-shelf video cameras.

Also known as: Beam walking
adults aged 50-59adults aged 60-69adults aged 70-79adults aged 80+geriatric patients

Eligibility Criteria

Age20 Years - 80 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Healthy participants will be recruited from local areas at the four centers using word of mouth and advertisements in public areas, libraries, churches, newspapers, fitness clubs, health care facilities, and on radio, TV, and the Internet. Volunteer participants included will be male and female adults aged over 20, in good health, balance, and mobility.

You may qualify if:

  • Volunteer participants included will be male and female adults aged over 20, in good health, balance, and mobility.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (5)

School of Physical Education and Sport of Ribeirão Preto

São Paulo, Brazil

Location

University of Potsdam

Potsdam, Germany

Location

Somogy County Kaposi Mór Teaching Hospital

Kaposvár, Hungary

Location

Dokkyo Medical University

Mibu, Japan

Location

University of Groningen

Groningen, Netherlands

Location

Related Publications (2)

  • Hortobagyi T, Vetrovsky T, Uematsu A, Sanders L, da Silva Costa AA, Batistela RA, Moraes R, Granacher U, Szabo-Kora S, Csutoras B, Szephelyi K, Tollar J. Walking on a Balance Beam as a New Measure of Dynamic Balance to Predict Falls in Older Adults and Patients with Neurological Conditions. Sports Med Open. 2024 May 22;10(1):59. doi: 10.1186/s40798-024-00723-7.

  • Hortobagyi T, Uematsu A, Sanders L, Kliegl R, Tollar J, Moraes R, Granacher U. Beam Walking to Assess Dynamic Balance in Health and Disease: A Protocol for the "BEAM" Multicenter Observational Study. Gerontology. 2019;65(4):332-339. doi: 10.1159/000493360. Epub 2018 Oct 18.

MeSH Terms

Conditions

Parkinson DiseaseStrokeDementiaCognitive Dysfunction

Condition Hierarchy (Ancestors)

Parkinsonian DisordersBasal Ganglia DiseasesBrain DiseasesCentral Nervous System DiseasesNervous System DiseasesMovement DisordersSynucleinopathiesNeurodegenerative DiseasesCerebrovascular DisordersVascular DiseasesCardiovascular DiseasesNeurocognitive DisordersMental DisordersCognition Disorders

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
professor of healthy ageing

Study Record Dates

First Submitted

April 27, 2018

First Posted

May 22, 2018

Study Start

June 1, 2018

Primary Completion

May 31, 2019

Study Completion

May 31, 2020

Last Updated

May 22, 2018

Record last verified: 2018-05

Data Sharing

IPD Sharing
Will not share

Locations