Evidence map›Paper›PMID 29898035›Full record

Trial reportBrazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica2018

Effects of resistance training protocols on nonlinear analysis of heart rate variability in metabolic syndrome.

N Turri-Silva, D M Garner, S H Moosavi, A L Ricci-Vitor, D G D Christofaro, J Netto Junior, L M Vanzella, L C M Vanderlei

Open access · goldAbstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 19% of its field
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, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Does resistance training modulate cardiac autonomic control? A systematic review and meta-analysis.Clinical autonomic research : official journal of the Clinical Autonomic Research Society · 2019
    Pooled it
  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

8 authors at 2 institutions in 2 countries.

N Turri-SilvaDepartmento de Fisioterapia, Faculdade de Ciências e Tecnologia, Câmpus de Presidente Prudente, Universidade Estadual Paulista, Presidente Prudente, SP, Brasil.
D M GarnerDepartment of Biological and Medical Sciences, Oxford Brookes University, Headington Campus, Oxford, United Kingdom.
S H MoosaviDepartment of Biological and Medical Sciences, Oxford Brookes University, Headington Campus, Oxford, United Kingdom.
A L Ricci-VitorDepartmento de Fisioterapia, Faculdade de Ciências e Tecnologia, Câmpus de Presidente Prudente, Universidade Estadual Paulista, Presidente Prudente, SP, Brasil.
D G D ChristofaroDepartmento de Fisioterapia, Faculdade de Ciências e Tecnologia, Câmpus de Presidente Prudente, Universidade Estadual Paulista, Presidente Prudente, SP, Brasil.
J Netto JuniorDepartmento de Fisioterapia, Faculdade de Ciências e Tecnologia, Câmpus de Presidente Prudente, Universidade Estadual Paulista, Presidente Prudente, SP, Brasil.
L M VanzellaDepartmento de Fisioterapia, Faculdade de Ciências e Tecnologia, Câmpus de Presidente Prudente, Universidade Estadual Paulista, Presidente Prudente, SP, Brasil.
L C M VanderleiDepartmento de Fisioterapia, Faculdade de Ciências e Tecnologia, Câmpus de Presidente Prudente, Universidade Estadual Paulista, Presidente Prudente, SP, Brasil.
Universidade Estadual Paulista (Unesp) · BROxford Brookes University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the various standard non-linear measurements used in autonomic modulation (AM) assessments usually being applied to long time-series, such analyses can sometimes be applied to shorter term series. To overcome this disadvantage, chaotic global methods were formulated by putting together heart rate variability (HRV) linear methods. Chaos provides information about vegetative function control related to cardiovascular risks. Applying this method can be useful to investigate the complexity of the health condition after resistance training protocols, as a therapeutic intervention in AM in metabolic syndrome individuals (MetS). This study aimed to compare the effects of two resistance training programs (conventional vs functional) in MetS using nonlinear analysis of AM. MetS subjects (n=50) of both sexes aged 40 to 60 years were randomly divided into two programs; a group of 12 people served as a control group. Both groups performed 30 sessions of training. AM was assessed in the chaos domain by chaotic global techniques. The main results showed that both resistance training, functional and conventional, increased chaos when compared to the control group, respectively, observed by chaotic forward parameter (CFP)1 (13.9±17.9 vs 12.8±14.4 vs -2.23±7.96; P≤0.05) and CFP3 (15.4±19.8 vs 21.9±13.2 vs -4.82±11.4; P≤0.05). In addition, 30 sessions of both resistance programs increased chaos, and non-linear analysis enabled discrimination of AM after interventions when compared to the control group.

Indexed as

AdultAutonomic Nervous SystemBlood PressureFemaleHeart RateHumansMaleMetabolic SyndromeMiddle AgedNonlinear DynamicsResistance Training

Identifiers

PMID29898035
PMCPMC6002142
OpenAlexW2809256674

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.