Evidence map›Paper›PMID 31789296›Full record

SynthesisJournal of musculoskeletal & neuronal interactions2019

The effects of whole body vibration therapy on reducing fat mass in the adult general population: A systematic review and meta-analyses.

Maryam Omidvar, Seyed Mohammad Alavinia, Beverley Catharine Craven

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of musculoskeletal & neuronal interactions, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. 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

3 authors.

Maryam OmidvarNeural Engineering and Therapeutic Team, Lyndhurst Centre, KITE-Toronto Rehab, University Health Network, Canada.
Seyed Mohammad AlaviniaNeural Engineering and Therapeutic Team, Lyndhurst Centre, KITE-Toronto Rehab, University Health Network, Canada.
Beverley Catharine CravenNeural Engineering and Therapeutic Team, Lyndhurst Centre, KITE-Toronto Rehab, University Health Network, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole Body Vibration (WBV) is a popular and a purported alternative to physical activity to reduce body fat, but reports of efficacy are inconsistent. We aimed to describe the efficacy of WBV therapy for reducing fat mass in the adult general population. A systematic search was conducted using Medline, Embase, Cochrane, CINAHL, and PubMed up to March 27, 2019. Studies, which evaluated the effects of WBV on fat mass (%/kg) as a primary or secondary outcome, were considered for inclusion. Of 2,418 studies, after title and abstract screening, 45 articles underwent full-text screening. Seven controlled trials with a total of 280 subjects were included in the systematic review. The meta-analyses were performed for six studies based on reported fat mass (%/kg) changes in the intervention and control groups. The mean change for total fat mass per kg and % body fat were -0.76 (95% CI: -1.42, -0.09) and -0.61 (95% CI: -1.51, 0.13) respectively. This systematic review and meta-analyses showed a significant effect of WBV on total fat mass (kg), however clinically insignificant effects of 6-24 weeks of WBV therapy on % body fat. Longer duration studies with adequate sample sizes are required to determine the efficacy of WBV therapy.

Indexed as

Adipose TissueHumansOverweightTreatment OutcomeVibrationExerciseFat MassSystematic ReviewWeight LossWhole Body Vibration

Identifiers

PMID31789296
PMCPMC6944803

What OpenQuestion holds

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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.