Evidence map›Paper›PMID 34370766›Full record

ArticlePloS one2021

Dynamic physiological responses in obese and non-obese adults submitted to cardiopulmonary exercise test.

Bárbara de Barros Gonze, Thatiane Lopes Valentim Di Paschoale Ostolin, Alan Carlos Brisola Barbosa, Agatha Caveda Matheus, Evandro Fornias Sperandio, Antônio Ricardo de Toledo Gagliardi, Rodolfo Leite Arantes, Marcello Romiti, Victor Zuniga Dourado

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.3field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

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  11. Cardiorespiratory fitness as a mediator in the relationship between lung function and blood pressure in adults.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2022
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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

9 authors at 2 institutions in 2 countries.

Bárbara de Barros GonzeDepartment of Human Movement Sciences, Federal University of São Paulo (UNIFESP), Santos, São Paulo, Brazil.ORCID 0000-0001-6785-4527
Thatiane Lopes Valentim Di Paschoale OstolinDepartment of Human Movement Sciences, Federal University of São Paulo (UNIFESP), Santos, São Paulo, Brazil.
Alan Carlos Brisola BarbosaDepartment of Human Movement Sciences, Federal University of São Paulo (UNIFESP), Santos, São Paulo, Brazil.
Agatha Caveda MatheusDepartment of Human Movement Sciences, Federal University of São Paulo (UNIFESP), Santos, São Paulo, Brazil.
Evandro Fornias SperandioDepartment of Human Movement Sciences, Federal University of São Paulo (UNIFESP), Santos, São Paulo, Brazil.
Antônio Ricardo de Toledo GagliardiAngiocorpore Institute of Cardiovascular Medicine, Santos, São Paulo, Brazil.
Rodolfo Leite ArantesAngiocorpore Institute of Cardiovascular Medicine, Santos, São Paulo, Brazil.
Marcello RomitiAngiocorpore Institute of Cardiovascular Medicine, Santos, São Paulo, Brazil.
Victor Zuniga DouradoDepartment of Human Movement Sciences, Federal University of São Paulo (UNIFESP), Santos, São Paulo, Brazil.
Universidade Federal de São Paulo · BRHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeObese individuals have reduced performance in cardiopulmonary exercise testing (CPET), mainly considering peak values of variables such as oxygen uptake ([Formula: see text]), carbon dioxide production ([Formula: see text]), tidal volume (Vt), minute ventilation ([Formula: see text]) and heart rate (HR). The CPET interpretation and prognostic value can be improved through submaximal ratios analysis of key variables like [Formula: see text], [Formula: see text], [Formula: see text] [Formula: see text] and oxygen uptake efficiency slope (OUES). The obesity influence on these responses has not yet been investigated. Our purpose was to evaluate the influence of adulthood obesity on maximal and submaximal physiological responses during CPET, emphasizing the analysis of submaximal dynamic variables.

methodsWe analyzed 1,594 CPETs of adults (755 obese participants, Body Mass Index ≥ 30 kg/m2) and compared the obtained variables among non-obese (normal weight and overweight) and obese groups (obesity classes I, II and III) through multivariate covariance analyses.

resultObesity influenced the majority of evaluated maximal and submaximal responses with worsened CPET performance. Cardiovascular, metabolic and gas exchange variables were the most influenced by obesity. Other maximal and submaximal responses were altered only in morbidly obese. Only a few cardiovascular and ventilatory variables presented inconsistent results. Additionally, Vtmax, [Formula: see text], Vt/Inspiratory Capacity, Vt/Forced Vital Capacity, Lowest [Formula: see text], [Formula: see text], and the y-intercepts of [Formula: see text] did not significantly differ regardless of obesity.

conclusionObesity expressively influences the majority of CPET variables. However, the prognostic values of the main ventilatory efficiency responses remain unchanged. These dynamic responses are not dependent on maximum effort and may be useful in detecting incipient ventilatory disorder. Our results present great practical applicability in identifying exercise limitation, regardless of overweight and obesity.

Indexed as

Exercise TestAdultBody Mass IndexBody WeightCarbon DioxideExerciseFemaleHumansMaleMiddle AgedObesityObesity, MorbidOverweightOxygenCarbon DioxideOxygen

Identifiers

PMID34370766
PMCPMC8351979
OpenAlexW3190364071

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.