Evidence map›Paper›PMID 30558914›Full record

ArticleGait & posture2018

Objective measures of gait and balance in healthy non-falling adults as a function of age.

Tuhin Virmani, Harsh Gupta, Jesal Shah, Linda Larson-Prior

Open access · greenAbstract read
In one paragraph

Article in Gait & posture, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
9.4field-weighted citation impact, top 2% 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

17 citing papers in PubMed, 32 citations in OpenAlex.

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  8. [Clinical value of instrumental gait analysis].Orthopadie (Heidelberg, Germany) · 2023
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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

4 authors at 1 institution in 1 country.

Tuhin VirmaniDepartment of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR, USA; Center for Translational Neuroscience, University of Arkansas for Medical Sciences, Little Rock, AR, USA. Electronic address: TVirmani@uams.edu.
Harsh GuptaDepartment of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Jesal ShahCollege of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Linda Larson-PriorDepartment of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR, USA; Center for Translational Neuroscience, University of Arkansas for Medical Sciences, Little Rock, AR, USA; Department of Psychiatry, Department of Neurobiology & Developmental Sciences, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
University of Arkansas for Medical Sciences · US

Funding

Telemedicine CoreP30GM110702 · NIGMS · UNIV OF ARKANSAS FOR MED SCIS · PI GARCIA-RILL, EDGAR E. · 2014 to 2018
$6.1M
NIGMS NIH HHS P30 GM110702
6 · The paper itself

Abstract

backgroundNeurodegenerative diseases increase in incidence with age. Prior studies using differing populations and gait paradigms have reported various parameters changing with age, some of which correlate with falls and mortality. Here we use three different paradigms to evaluate gait and balance in healthy non-fallers. RESEARCH QUESTION: What objective gait and balance parameters are correlated with aging.

methodsHealthy subjects aged 21-79 years without histories of falls, lower extremity orthopedic procedures or chronic pain were included. Subjects walked on a 20 × 4 foot pressure sensor mat (Zeno Walkway, Protokinetics, Havertown, PA) under three different gait paradigms, (i) steady-state gait, (ii) dual-task while texting on a cellular phone and (iii) tandem gait. Data was collected and analyzed using PKMAS software (Protokinetics). Linear regression analysis, stepwise multivariate analysis, and grouped analysis of gait parameters was performed using SPSS 24 (IBM).

resultsSeventy-five subjects were enrolled. Grouped analysis and linear regression analysis showed differing significance in parameters tested. Step-wise multivariate analysis of all 31 parameters assessed from three different gait paradigms, showed weak but significant correlations in age with (i) stride-to-stride variability in (i) integrated-pressure of footsteps and (ii) stride-length during steady-state gait, (iii) mean stride-length on dual-task, and (iv) mean step-width on tandem gait (R SIGNIFICANCE: In a population of healthy subjects without prior history of falls or medical illness that should affect gait, there were weak but significant age-related changes in objective measures of steady state gait and balance. Future prospective longitudinal data will help predict the relevance of this in relation to falls in the elderly.

Indexed as

Accidental FallsAdultAgedAge FactorsAgingFemaleGaitGait AnalysisHumansMaleMiddle AgedPostural BalanceWalkingYoung AdultAgingBalanceDual-taskGaitTandem gait

Identifiers

PMID30558914
PMCPMC9115806
OpenAlexW2884436377

What OpenQuestion holds

Textmetadata
LicenceTDM
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.