Evidence map›Paper›PMID 32753385›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

A global view on how local muscular fatigue affects human performance.

Márcio F Goethel, Mauro Gonçalves, Cayque Brietzke, Adalgiso C Cardozo, João P Vilas-Boas, Ulysses F Ervilha

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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.

Márcio F GoethelLaboratory of Physical Activity Sciences, School of Arts, Sciences, and Humanities, University of São Paulo, 03828-000 São Paulo, Brazil; gbiomech@gmail.com.ORCID 0000-0003-4382-0159
Mauro GonçalvesDepartment of Physical Education, São Paulo State University, 13506-692 Rio Claro, Brazil.ORCID 0000-0002-4087-1113
Cayque BrietzkeLaboratory of Physical Activity Sciences, School of Arts, Sciences, and Humanities, University of São Paulo, 03828-000 São Paulo, Brazil.ORCID 0000-0002-7557-3140
Adalgiso C CardozoDepartment of Physical Education, São Paulo State University, 13506-692 Rio Claro, Brazil.ORCID 0000-0001-9462-0240
João P Vilas-BoasCentre of Research, Education, Innovation, and Intervention in Sport, Faculty of Sport, University of Porto, 4200-450 Porto, Portugal.ORCID 0000-0002-4109-2939
Ulysses F ErvilhaLaboratory of Physical Activity Sciences, School of Arts, Sciences, and Humanities, University of São Paulo, 03828-000 São Paulo, Brazil.ORCID 0000-0003-4528-4644

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a growing interest in scientific literature on identifying how and to what extent interventions applied to a specific body region influence the responses and functions of other seemingly unrelated body regions. To investigate such a construct, it is necessary to have a global multivariate model that considers the interaction among several variables that are involved in a specific task and how a local and acute impairment affects the behavior of the output of such a model. We developed an artificial neural network (ANN)-based multivariate model by using parameters of motor skills obtained from kinematic, postural control, joint torque, and proprioception variables to assess the local fatigue effects of the abductor hip muscles on the functional profile during a single-leg drop landing and a squatting task. Findings suggest that hip abductor muscles' local fatigue produces a significant effect on a general functional profile, built on different control systems. We propose that expanded and global approaches, such as the one used in this study, have great applicability and have the potential to serve as a tool that guarantees ecological validity of future investigations.

Indexed as

Muscle FatiguePhysical Functional PerformanceFemaleHumansMotor SkillsMuscle, SkeletalNeural Networks, ComputerPostural BalanceYoung Adultartificial neural networkexercisefatigueself-organizing feature maps

Identifiers

PMID32753385
PMCPMC7443896

What OpenQuestion holds

Textmetadata
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.