Evidence map›Paper›PMID 39063471›Full record

ArticleInternational journal of environmental research and public health2024

Comparison between Measured and Predicted Resting Metabolic Rate Equations in Cross-Training Practitioners.

Ana Flávia Sordi, Bruno Ferrari Silva, Breno Gabriel da Silva, Déborah Cristina de Souza Marques, Isabela Mariano Ramos, Maria Luiza Amaro Camilo, Jorge Mota, Pablo Valdés-Badilla, Sidney Barnabé Peres, Braulio Henrique Magnani Branco

Abstract readComparative Study
In one paragraph

Article in International journal of environmental research and public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Ana Flávia SordiInterdisciplinary Laboratory of Intervention in Health Promotion, Cesumar University, Maringá 87050-390, Paraná, Brazil.ORCID 0000-0002-8441-8206
Bruno Ferrari SilvaInterdisciplinary Laboratory of Intervention in Health Promotion, Cesumar University, Maringá 87050-390, Paraná, Brazil.ORCID 0000-0002-6503-5576
Breno Gabriel da SilvaLuiz de Queiroz College of Agriculture-ESALQ, USP Department of Exact Sciences, University of Sao Paulo, Sao Paulo 13418-900, Sao Paulo, Brazil.ORCID 0000-0002-8322-9235
Déborah Cristina de Souza MarquesInterdisciplinary Laboratory of Intervention in Health Promotion, Cesumar University, Maringá 87050-390, Paraná, Brazil.
Isabela Mariano RamosInterdisciplinary Laboratory of Intervention in Health Promotion, Cesumar University, Maringá 87050-390, Paraná, Brazil.
Maria Luiza Amaro CamiloInterdisciplinary Laboratory of Intervention in Health Promotion, Cesumar University, Maringá 87050-390, Paraná, Brazil.ORCID 0009-0003-5134-222X
Jorge MotaResearch Center in Physical Activity, Health and Leisure (CIAFEL), Faculty of Sports, University of Porto (FADEUP), Porto 4200-450, Portugal.ORCID 0000-0001-7571-9181
Pablo Valdés-BadillaDepartment of Physical Activity Sciences, Faculty of Education Sciences, Universidad Católica del Maule, Talca 3530000, Chile.ORCID 0000-0002-3948-8280
Sidney Barnabé PeresDepartment of Physiological Sciences, State University of Maringá, Maringá 87020-900, Paraná, Brazil.
Braulio Henrique Magnani BrancoInterdisciplinary Laboratory of Intervention in Health Promotion, Cesumar University, Maringá 87050-390, Paraná, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to investigate the resting metabolic rate (RMR) in cross-training practitioners (advanced and novice) using indirect calorimetry (IC) and compare it with predictive equations proposed in the scientific literature.

methodsA cross-sectional and comparative study analyzed 65 volunteers, both sexes, practicing cross-training (CT). Anthropometry and body composition were assessed, and RMR was measured by IC (FitMate PRO

resultsThe main results indicated that men showed a higher RMR than women, and the most discrepant equations were Cunningham, Tinsley (b), and Johnstone compared to IC. Tinsley's (a) equation indicated greater precision in measuring the RMR in CM overestimated it by only 1.9%, and BIA and the Harris-Benedict in CW overestimated RMR by only 0.1% and 3.4%, respectively.

conclusionsThe BIA and Harris-Benedict equation could be used reliably to measure the RMR of females, while Tinsley (a) is the most reliable method to measure the RMR of males when measuring with IC is unavailable. By knowing which RMR equations are closest to the gold standard, these professionals can prescribe a more assertive diet, training, or ergogenic resources. An assertive prescription increases performance and can reduce possible deleterious effects, maximizing physical sports performance.

Indexed as

Basal MetabolismBody CompositionCalorimetry, IndirectAdultAnthropometryCross-Sectional StudiesElectric ImpedanceFemaleHumansMaleYoung Adultathleticcalorimetryenergy expenditureextreme functional fitness training

Identifiers

PMID39063471
PMCPMC11276680

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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.