Evidence map›Paper›PMID 25496052›Full record

Trial reportJournal of neuroengineering and rehabilitation2014

Interactive balance training integrating sensor-based visual feedback of movement performance: a pilot study in older adults.

Michael Schwenk, Gurtej S Grewal, Bahareh Honarvar, Stefanie Schwenk, Jane Mohler, Dharma S Khalsa, Bijan Najafi

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of neuroengineering and rehabilitation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03656458 (Effects of Balance Training on Fall Risk and Mobility in the Elderly), which is not on this map. Cited by 51 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 11 pooled it
16.5field-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.

NCT03656458 nacompletednot on this mapstarted 2016, after this paper: background citation

Effects of Balance Training on Fall Risk and Mobility in the Elderly

TypeinterventionalSponsorFoundation University IslamabadRan2016 to 2017Enrolled105ConditionsFallArmsWarm Up, Conventional Balance Training, Biodex Balance Training
3 · Its place in the literature

Who cites it

51 citing papers in PubMed, 11 syntheses or guidelines pooled it, 107 citations in OpenAlex.

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  14. Different Effects of 12-Week Speed or Accuracy Training on Obstacle-Crossing Foot Motion in Healthy Elderly.International journal of environmental research and public health · 2022
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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

7 authors at 2 institutions in 1 country.

Michael SchwenkInterdisciplinary Consortium on Advanced Motion Performance (iCAMP), Department of Surgery, College of Medicine, University of Arizona, Tucson, AZ, USA. schwenk.michael@gmail.com.
Gurtej S Grewal
Bahareh Honarvar
Stefanie Schwenk
Jane Mohler
Dharma S Khalsa
Bijan Najafi
University of Arizona · USAlzheimer's Association · US

Funding

A Virtually Supervised Web-Based Home Exercise Technology for Older AdultsR43AG044882 · NIA · BIOSENSICS, LLC · PI GWIN, JOSEPH T, NAJAFI, BIJAN · 2013 to 2014
$398k
NIA NIH HHS 1R43AG044882-01A1NIA NIH HHS R43 AG044882
6 · The paper itself

Abstract

backgroundWearable sensor technology can accurately measure body motion and provide incentive feedback during exercising. The aim of this pilot study was to evaluate the effectiveness and user experience of a balance training program in older adults integrating data from wearable sensors into a human-computer interface designed for interactive training.

methodsSenior living community residents (mean age 84.6) with confirmed fall risk were randomized to an intervention (IG, n = 17) or control group (CG, n = 16). The IG underwent 4 weeks (twice a week) of balance training including weight shifting and virtual obstacle crossing tasks with visual/auditory real-time joint movement feedback using wearable sensors. The CG received no intervention. Outcome measures included changes in center of mass (CoM) sway, ankle and hip joint sway measured during eyes open (EO) and eyes closed (EC) balance test at baseline and post-intervention. Ankle-hip postural coordination was quantified by a reciprocal compensatory index (RCI). Physical performance was quantified by the Alternate-Step-Test (AST), Timed-up-and-go (TUG), and gait assessment. User experience was measured by a standardized questionnaire.

resultsAfter the intervention sway of CoM, hip, and ankle were reduced in the IG compared to the CG during both EO and EC condition (p = .007-.042). Improvement was obtained for AST (p = .037), TUG (p = .024), fast gait speed (p = . 010), but not normal gait speed (p = .264). Effect sizes were moderate for all outcomes. RCI did not change significantly. Users expressed a positive training experience including fun, safety, and helpfulness of sensor-feedback.

conclusionsResults of this proof-of-concept study suggest that older adults at risk of falling can benefit from the balance training program. Study findings may help to inform future exercise interventions integrating wearable sensors for guided game-based training in home- and community environments. Future studies should evaluate the added value of the proposed sensor-based training paradigm compared to traditional balance training programs and commercial exergames.

trial registrationhttp://www.clinicaltrials.govNCT02043834.

Indexed as

Accidental FallsAged, 80 and overExercise TherapyFeedback, SensoryFemaleHumansMaleMovementPilot ProjectsPostural BalanceUser-Computer Interface

Identifiers

PMID25496052
PMCPMC4290812
OpenAlexW2101132022

What OpenQuestion 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 OpenQuestion graph.