Evidence map›Paper›PMID 39497958›Full record

ArticleHeliyon2024

The effect of percussion and manual activation massage on explosive strength and balance in young adult males: A crossover pilot study.

Peter Bartík, Martin Pacholek

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. 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

2 authors.

Peter BartíkGSD/Health and Physical Education Department, Sport Sciences and Diagnostic Research Group, Prince Sultan University, Riyadh, Saudi Arabia.
Martin PacholekGSD/Health and Physical Education Department, Sport Sciences and Diagnostic Research Group, Prince Sultan University, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Recently, the usage of percussive vibration machines in physiotherapy and sports has increased rapidly. Numerous manufacturers claim they can enhance physical performance. However, there is minimal peer-reviewed research on their efficacy. Therefore, this study aimed to investigate the effect of percussion massage (PM) on muscular performance, particularly explosive strength and balance. Moreover, this is the first study to evaluate the potential PM impact on balance. Materials and methods: 18 young male participants aged 20.89 ± 3.43 years with a BMI of 25.08 ± 3.95 completed three measurements with two interventions - PM by Theragun device (TG), activation massage (AM), and assessment without activation (WA). The targeted area was m. triceps surae, hamstrings, and m. quadriceps femoris of the dominant leg. Single-leg squat jump (SJ), countermovement jump (CMJ), and Y-balance tests (YBT) were performed. One-Way Repeated Measures ANOVA was utilized to analyze the data. The level significance threshold was set to p ≤ 0.05. Results: No statistically significant difference was reported between TG, AM, and WA in the height of the squat jump and countermovement jump (p > 0.05). Furthermore, no significant changes were recorded in the YBT performance score (p > 0.05). Conclusions: No improvement was reported in the monitored physical parameters when the PM by Theragun or manual AM was applied for 90 s right before the muscular performance. Therefore, we do not recommend the short-term stimulative application of PM and AM before athletic performance when lower limb explosive strength or balance improvements are the objective.

Indexed as

And performanceJumpPercussive massageSport massageTheragunY-balance test

Identifiers

PMID39497958
PMCPMC11532880

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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.