Evidence map›Paper›PMID 33925047›Full record

ArticleInternational journal of environmental research and public health2021

Characteristics of Gait Variability in the Elderly While Walking on a Treadmill with Gait Speed Variation.

Bohyun Kim, Changhong Youm, Hwayoung Park, Myeounggon Lee, Byungjoo Noh

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Gait Variability at Different Walking Speeds.Journal of functional morphology and kinesiology · 2023
    Article
  7. Observational
  8. 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

5 authors.

Bohyun KimDepartment of Health Sciences, The Graduate School of Dong-A University, Busan 49315, Korea.ORCID 0000-0003-0012-5615
Changhong YoumDepartment of Health Sciences, The Graduate School of Dong-A University, Busan 49315, Korea.ORCID 0000-0001-7574-5259
Hwayoung ParkDepartment of Health Sciences, The Graduate School of Dong-A University, Busan 49315, Korea.ORCID 0000-0002-4625-9021
Myeounggon LeeDepartment of Health Sciences, The Graduate School of Dong-A University, Busan 49315, Korea.ORCID 0000-0001-8546-5613
Byungjoo NohDepartment of Kinesiology, Jeju National University, Jeju 63243, Korea.ORCID 0000-0002-6292-6189

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gait variability (GV), which is a variable for predicting mobility issues and risk of falling in elderly people, is defined as the fluctuation in spatiotemporal characteristics from one step to the next in walking. The goal of this study was to analyze the age- and sex-related spatiotemporal variability characteristics of elderly individuals using the measurements taken while walking on a treadmill for one minute based on gait speed variation. Gait testing was conducted on 225 healthy male and female individuals aged 60-79 years who were able to walk and move on their own and, specifically, walk on a treadmill for one minute. The test was performed at three speed conditions-the preferred speed of the participant, 20% higher than the preferred speed, and 20% lower than the preferred speed-and data were recorded using shoe-type data loggers. The different age groups and sex could be distinguished using the coefficient of variance (CV) of the double support phase and gait asymmetry (GA) at the preferred speed, and CVs of stride length and stance phase at faster speed. The results indicated that the values of GV obtained from the test were used to determine the variation in gait characteristics of elderly individuals.

Indexed as

WalkingWalking SpeedAgedExercise TestFemaleGaitHumansMaleMiddle AgedShoescoefficient of varianceelderly individualsgait stabilitygait variabilityinertial measurement unitspatiotemporal characteristics

Identifiers

PMID33925047
PMCPMC8125411

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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.