Evidence map›Paper›PMID 34640743›Full record

ArticleSensors (Basel, Switzerland)2021

Gait Parameters in Healthy Preschool and School Children Assessed Using Wireless Inertial Sensor.

Ewa Gieysztor, Mateusz Kowal, Małgorzata Paprocka-Borowicz

Abstract 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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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.

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

11 citing papers in PubMed.

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  6. Wearable Technology and Its Influence on Motor Development and Biomechanical Analysis.International journal of environmental research and public health · 2024
    Review
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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

3 authors.

Ewa GieysztorDepartment of Physiotherapy, Faculty of Health Sciences, Wroclaw Medical University, 50-367 Wrocław, Poland.ORCID 0000-0002-4759-5385
Mateusz KowalDepartment of Physiotherapy, Faculty of Health Sciences, Wroclaw Medical University, 50-367 Wrocław, Poland.ORCID 0000-0002-4796-630X
Małgorzata Paprocka-BorowiczDepartment of Physiotherapy, Faculty of Health Sciences, Wroclaw Medical University, 50-367 Wrocław, Poland.ORCID 0000-0003-4296-7052

Funding

Ministerstwo Nauki i Szkolnictwa Wyższego SUB.E060.21.001
6 · The paper itself

Abstract

backgroundThe objective gait assessment in children has become more popular. Basis parameters for comparison during the examination are advisable.

objectivesThe study aim was to investigate the typical gait parameters of healthy preschool and school children, using a wireless inertial sensor as the reference for atypical gait. The additional aim was to compare the specific gait parameters in the younger and older group of children.

methodsOne hundred and sixty-one children's gait parameters were evaluated by a G-Walk BTS G-SENSOR smart analyzer. The children were walking barefoot, at a self-selected speed, on a five-meter walkway, and they turned around and go back twice.

resultsAge significantly influences most of the spatiotemporal parameters. The support phase becomes shorter with age. Accordingly, the swing phase becomes longer with age. The results also show that older children need shorter double support and have longer single support. Moreover, the pelvic tilt symmetry index is higher with increasing age. In each age division, the smallest variation in all gait parameters within the oldest group of examined children was observed. A comparison between the left and right side gait parameters shows the higher difference in boys than in girls. A significant difference was calculated in the pelvic obliquity symmetry index. Girls had significantly more symmetrical obliquity than boys.

conclusionsthe research indicates the basic parameters of typical children's gait, which may be a reference to atypical gait in the case of trauma or disability.

Indexed as

GaitWalkingAdolescentChildChild, PreschoolFemaleHealth StatusHumansMaleSchoolschildrengait analysiswireless inertial sensor

Identifiers

PMID34640743
PMCPMC8512031

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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.