Evidence map›Paper›PMID 31375458›Full record

ArticleBrazilian journal of physical therapy

Prediction of maximum oxygen uptake through incremental exercise testing using ventilometry: a cross-sectional study.

Fernando Policarpo Barbosa, Paulo Eugênio Silva, Andréa Carmen Guimarães, Carlos Soares Pernambuco, Estélio Henrique Dantas

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Article in Brazilian journal of physical therapy. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. The Influence of Body Position on Determining Aerobic Exercise Intensity for Healthy Individuals.International journal of environmental research and public health · 2021
    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

5 authors.

Fernando Policarpo BarbosaLaboratory of Human Movement Biosciences, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil. Electronic address: fernandopolicarpo65@gmail.com.
Paulo Eugênio SilvaPost-Graduate Program in Science and Technology in Health, Universidade de Brasília (UnB), Brasília, DF, Brazil.
Andréa Carmen GuimarãesLaboratory of Human Movement Biosciences, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil; Department of Physical Education and Health Sciences, Universidade Federal de São João Del-Rei (UFSJ), São João del Rei, MG, Brazil.
Carlos Soares PernambucoDoctor's Degree Program in Nursing and Biosciences - PPgEnfBio, Federal University of the State of Rio de Janeiro - UNIRIO, Rio de Janeiro, Brazil; Master and Doctor's Degree Program in Health and Environment - PSA, Tiradentes University - UNIT, Aracaju, Brazil.
Estélio Henrique DantasDoctor's Degree Program in Nursing and Biosciences - PPgEnfBio, Federal University of the State of Rio de Janeiro - UNIRIO, Rio de Janeiro, Brazil; College of Physical Education, Universidade Tiradentes, Aracajú, SE, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiopulmonary exercise testing is the main tool assessing cardiorespiratory fitness. However, cardiopulmonary exercise testing devices are expensive and often cannot be used.

objectiveThe present study sought to develop cardiopulmonary exercise testing equations for estimating maximum oxygen uptake from ergometric testing combined with ventilometry.

methods181 volunteers of both sexes were submitted to cardiopulmonary exercise testing on treadmill using an incremental protocol. Volunteers were randomized into two groups: regression group: composed of 68 women with age 24.7±6.0 years and 54 men aged 21.5±3.9 years; and a cross-validation group composed of 29 women with mean age of 23.8±4.7 years and 30 men with a mean age of 23.1±4.4 years. The estimating equations were developed using multiple stepwise linear regressions; comparison of means was done using a t test and reliability assessed by Cronbach's alpha.

results8 independent variables exhibited a significant result for estimating VO

conclusionThe present study demonstrated that the use of parameters collected during maximal ergometric test combined with ventilometry, improved the accuracy of equations for estimating maximum oxygen uptake.

Indexed as

Body Mass IndexCross-Sectional StudiesExercise TestFemaleHeart RateHumansMaleOxygen ConsumptionReproducibility of ResultsCardiopulmonary exercise testingEquationErgometryOxygen consumptionRehabilitationVentilometer

Identifiers

PMID31375458
PMCPMC7351960

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.