Evidence map›Paper›PMID 38952461›Full record

ArticleJournal of physical therapy science2024

Analyzing muscle thickness changes in lateral abdominal muscles while exercising using virtual reality.

Masashi Kitano, Masami Nakamoto, Kengo Kawanishi, Masahiko Hara, Shintarou Kudo

Abstract read
In one paragraph

Article in Journal of physical therapy science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Masashi KitanoGraduate School of Health Science, Morinomiya University of Medical Science, Japan.
Masami NakamotoInclusive Medical Science Research Institute, Morinomiya University of Medical Sciences: 1-26-16 Nankokita, Suminoe-ku, Osaka-shi, Osaka 559-0034, Japan.
Kengo KawanishiInclusive Medical Science Research Institute, Morinomiya University of Medical Sciences: 1-26-16 Nankokita, Suminoe-ku, Osaka-shi, Osaka 559-0034, Japan.
Masahiko HaraInclusive Medical Science Research Institute, Morinomiya University of Medical Sciences: 1-26-16 Nankokita, Suminoe-ku, Osaka-shi, Osaka 559-0034, Japan.
Shintarou KudoGraduate School of Health Science, Morinomiya University of Medical Science, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[Purpose] Virtual reality (VR) rehabilitation has become popular in the medical field. VR-guided exercises (VR-ge) have demonstrated positive effects on gait and trunk control. Trunk muscle activation, particularly that of the transversus abdominis (TrA), is responsible for these improvements. However, the difference in muscle activation between VR and real space remains unclear. Therefore, this study aimed to clarify the differences in trunk muscle activation during exercise therapy performed in VR and real space. [Participants and Methods] A total of 22 healthy male volunteers were divided into two equal groups: VR-ge and Control exercise (C-e) groups. Both groups performed reaching exercises in a seated position. Ultrasound imaging was used to measure the thicknesses of the right external oblique, internal oblique, and TrA muscles, both at rest and during the reaching exercises performed in six different directions. [Results] No significant differences were observed in TrA muscle thickness changes between the groups before the intervention. However, after the intervention, the VR-ge group showed significantly greater TrA muscle thickness changes during reaching compared to that of the C-e group. [Conclusion] VR-ge increased TrA activation during reaching compared to exercising in real space.

Indexed as

Biomechanical phenomenaExerciseVirtual reality

Identifiers

PMID38952461
PMCPMC11214813

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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.