Evidence map›Paper›PMID 35455857›Full record

ArticleHealthcare (Basel, Switzerland)2022

The Application of Balance Exercise Using Virtual Reality for Rehabilitation.

Yukio Urabe, Kazuki Fukui, Keita Harada, Tsubasa Tashiro, Makoto Komiya, Noriaki Maeda

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

6 authors.

Yukio UrabeGraduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima 734-8553, Japan.
Kazuki FukuiGraduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima 734-8553, Japan.
Keita HaradaGraduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima 734-8553, Japan.
Tsubasa TashiroGraduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima 734-8553, Japan.ORCID 0000-0001-8339-3652
Makoto KomiyaGraduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima 734-8553, Japan.ORCID 0000-0003-4183-6114
Noriaki MaedaGraduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima 734-8553, Japan.ORCID 0000-0002-4447-8917

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To prevent falls, it is important to devise a safe balance training program that can be easily performed. This study investigated whether tilting an image in virtual reality (VR) can generate a center-of-gravity sway. Five men and five women were asked to rest standing upright (control condition) and to rest standing upright with a head-mounted display showing a tilted virtual image (VR condition), and changes in their standing balance were observed. Standing balance was assessed by measuring the distance traveled by the center of pressure (COP) of each of the participants’ legs. In order to investigate the effects of different tilt speeds and angles on COP, four different images were displayed in VR: an image tilting to 10° moving at a rate of 1°/s; an image tilting to 20° moving 1°/s; an image tilting to 10° moving 10°/s; an image tilting to 20° moving 10°/s. Change in COP was significantly greater in the VR than in the control condition (p < 0.01), and a tilt of 10° moving 1°/s showed the greatest change in COP (p < 0.01). Tilting an image in VR while in a resting standing position can change an individual’s COP; thus, VR may be applied to balance training.

Indexed as

balance trainingcenter of pressurerehabilitationvirtual reality

Identifiers

PMID35455857
PMCPMC9031468

What OpenQuestion holds

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Registered trials

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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.