Evidence map›Paper›PMID 35009667›Full record

ArticleSensors (Basel, Switzerland)2021

Validity and Reliability of a Smartphone App for Gait and Balance Assessment.

Usman Rashid, David Barbado, Sharon Olsen, Gemma Alder, Jose L L Elvira, Sue Lord, Imran Khan Niazi, Denise Taylor

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
13.5field-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.

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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Pooled it
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  10. Establishing the Reliability of the GaitONSensors (Basel, Switzerland) · 2024
    Article
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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

8 authors at 3 institutions in 3 countries.

Usman RashidHealth & Rehabilitation Research Institute, Auckland University of Technology, Auckland 0627, New Zealand.ORCID 0000-0002-1109-5493
David BarbadoDepartment of Sport Science, Sports Research Centre, Miguel Hernandez University of Elche, 03202 Elche, Spain.ORCID 0000-0002-4314-9185
Sharon OlsenHealth & Rehabilitation Research Institute, Auckland University of Technology, Auckland 0627, New Zealand.ORCID 0000-0002-7453-9127
Gemma AlderHealth & Rehabilitation Research Institute, Auckland University of Technology, Auckland 0627, New Zealand.
Jose L L ElviraDepartment of Sport Science, Sports Research Centre, Miguel Hernandez University of Elche, 03202 Elche, Spain.ORCID 0000-0003-0821-9210
Sue LordHealth & Rehabilitation Research Institute, Auckland University of Technology, Auckland 0627, New Zealand.
Imran Khan NiaziHealth & Rehabilitation Research Institute, Auckland University of Technology, Auckland 0627, New Zealand.ORCID 0000-0001-8752-7224
Denise TaylorHealth & Rehabilitation Research Institute, Auckland University of Technology, Auckland 0627, New Zealand.ORCID 0000-0002-0955-5702
Auckland University of Technology · NZUniversitat de Miguel Hernández d'Elx · ESNew Zealand College of Chiropractic · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in technology provide an opportunity to enhance the accuracy of gait and balance assessment, improving the diagnosis and rehabilitation processes for people with acute or chronic health conditions. This study investigated the validity and reliability of a smartphone-based application to measure postural stability and spatiotemporal aspects of gait during four static balance and two gait tasks. Thirty healthy participants (aged 20-69 years) performed the following tasks: (1) standing on a firm surface with eyes opened, (2) standing on a firm surface with eyes closed, (3) standing on a compliant surface with eyes open, (4) standing on a compliant surface with eyes closed, (5) walking in a straight line, and (6) walking in a straight line while turning their head from side to side. During these tasks, the app quantified the participants' postural stability and spatiotemporal gait parameters. The concurrent validity of the smartphone app with respect to a 3D motion capture system was evaluated using partial Pearson's correlations (r

Indexed as

Mobile ApplicationsGaitHumansPostural BalanceReproducibility of ResultsSmartphoneWalkingWalking Speedappbalancegaitreliabilitysmartphonesvalidity

Identifiers

PMID35009667
PMCPMC8747233
OpenAlexW4205603367

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.