Evidence map›Paper›PMID 37729178›Full record

ArticlePloS one2023

Effect of gas exchange data selection methods on resting metabolic rate estimation in young athletes.

Victor Zaban Bittencourt, Raul Freire, Juan M A Alcantara, Luiz Lannes Loureiro, Taillan Martins de Oliveira, Fábio Luiz Candido Cahuê, Alex Itaborahy, Anna Paola Trindade Rocha Pierucci

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Victor Zaban BittencourtDAFEE Laboratory, Graduate Program in Nutrition, Instituto de Nutrição Josué de Castro, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Raul FreireOlympic Laboratory, Brazil Olympic Committee, Rio de Janeiro, Brazil.
Juan M A AlcantaraInstitute for Innovation & Sustainable Food Chain Development, Department of Health Sciences, Public University of Navarre, Campus Arrosadía, Pamplona, Spain.ORCID 0000-0002-8842-374X
Luiz Lannes LoureiroDAFEE Laboratory, Graduate Program in Nutrition, Instituto de Nutrição Josué de Castro, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Taillan Martins de OliveiraDAFEE Laboratory, Graduate Program in Nutrition, Instituto de Nutrição Josué de Castro, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Fábio Luiz Candido CahuêDAFEE Laboratory, Graduate Program in Nutrition, Instituto de Nutrição Josué de Castro, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.ORCID 0000-0003-2273-8893
Alex ItaborahyDAFEE Laboratory, Graduate Program in Nutrition, Instituto de Nutrição Josué de Castro, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Anna Paola Trindade Rocha PierucciDAFEE Laboratory, Graduate Program in Nutrition, Instituto de Nutrição Josué de Castro, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.ORCID 0000-0002-9826-3081

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This cross-sectional study analysed the effect of the gas exchange data selection methods on the resting metabolic rate (RMR) estimation and proposed a protocol shortening providing a suitable RMR estimation for young athletes. Sixty-six healthy young Brazilian athletes performed a 30-minute RMR assessment. Different methods of gas exchange data selection were applied: short and long-time intervals, steady-state (SSt), and filtering. A mixed one-way ANOVA was used to analyse the mean differences in gas exchange, RMR, respiratory exchange ratio (RER), and coefficients of variation across all methods. Additionally, paired Student's t-test were used to compare the first and best SSt RMR values for each SSt method (3, 4, and 5-min). The 5-min SSt method provided the lowest RMR estimate (1454 kcal.day-1). There was a statistical difference between methods (F = 2.607, p = 0.04), but they presented a clinically irrelevant absolute difference (~36 kcal.day-1). There were no differences in RER among methods. In addition, using the SSt method, 12 minutes of assessment were enough to obtain a valid estimation of RMR. The 5-min SSt method should be employed for assessing the RMR among young athletes, considering the possibility of obtaining a shortened assessment (~12 min) with an acceptable and low coefficient of variation.

Indexed as

AthletesBasal MetabolismAnalysis of VarianceBrazilCross-Sectional StudiesHumans

Identifiers

PMID37729178
PMCPMC10511082

What OpenQuestion holds

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Registered trials

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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.