Evidence map›Paper›PMID 32630373›Full record

ArticleInternational journal of environmental research and public health2020

Shoes and Insoles: The Influence on Motor Tasks Related to Walking Gait Variability and Stability.

Luca Russo, Roberto Di Capua, Benedetto Arnone, Marta Borrelli, Roberto Coppola, Fabio Esposito, Johnny Padulo

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
5.9field-weighted citation impact, top 4% 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

9 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Gait Variability at Different Walking Speeds.Journal of functional morphology and kinesiology · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. The Impact of Nordic Walking Pole Length on Gait Kinematic Parameters.Journal of functional morphology and kinesiology · 2023
    Article
  9. Article
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 4 institutions in 2 countries.

Luca RussoDepartment of Biotechnological and Applied Clinical Sciences, University of L'Aquila, 67100 L'Aquila, Italy.
Roberto Di CapuaDepartment of Physics "E. Pancini", University of Naples "Federico II", and CNR-SPIN Institute, 80126 Naples, Italy.
Benedetto ArnoneDepartment of Biotechnological and Applied Clinical Sciences, University of L'Aquila, 67100 L'Aquila, Italy.
Marta BorrelliDepartment of Biomedical Sciences for Health, Università degli Studi di Milano, 20133 Milan, Italy.
Roberto CoppolaFaculty of Human and Society Sciences-University of Enna "Kore", 94100 Enna, Italy.
Fabio EspositoDepartment of Biomedical Sciences for Health, Università degli Studi di Milano, 20133 Milan, Italy.ORCID 0000-0002-4420-2611
Johnny PaduloDepartment of Biomedical Sciences for Health, Università degli Studi di Milano, 20133 Milan, Italy.ORCID 0000-0002-4254-3105
University of Milan · ITUniversity of L'Aquila · ITSuperconducting and other Innovative Materials and Devices Institute · ITUniversità degli Studi di Enna Kore · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rhythmic control of the lower limb muscles influences the cycle-to-cycle variability during a walking task. The benefits of insoles, commonly used to improve the walking gait, have been little studied. Therefore, the aim of this study was to assess the walking gait variability and stability on different walking conditions (without shoes, WTS, with shoes, WS, with shoes and insoles, WSI) related to brain activity. Twelve participants randomly (WTS/WS/WSI) walked on a treadmill at 4 km/h for 10 min. Kinematic analysis (i.e., footstep and gait variability), brain activation (beta wave signal), rating of perceived exertion (RPE, CR-10 scale), and time domain measures of walking variability were assessed. The maximum Lyapunov exponent (LyE) on the stride cycle period's datasets was also calculated. Stride length and cycle calculated for all walking conditions were 61.59 ± 2.53/63.38 ± 1.43/64.09 ± 2.40 cm and 1.11 ± 0.03/1.14 ± 0.03/1.15 ± 0.04 s (F

Indexed as

ShoesWalkingBiomechanical PhenomenaFootGaitHumansbarefootelectroencephalogram (EEG)footLyapunov exponentmotor control

Identifiers

PMID32630373
PMCPMC7345333
OpenAlexW3037250386

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.