Evidence map›Paper›PMID 33828487›Full record

ArticleFrontiers in physiology2021

Resting Energy Expenditure of Master Athletes: Accuracy of Predictive Equations and Primary Determinants.

Petra Frings-Meuthen, Sara Henkel, Michael Boschmann, Philip D Chilibeck, José Ramón Alvero Cruz, Fabian Hoffmann, Stefan Möstl, Uwe Mittag, Edwin Mulder, Natia Rittweger and 3 more

Abstract read
In one paragraph

Article in Frontiers in physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Observational
  5. Article
  6. Article
  7. Predicting resting energy expenditure: a critical appraisal.European journal of clinical nutrition · 2023
    Article
  8. Review
  9. Accuracy of Resting Metabolic Rate Prediction Equations in Sport Climbers.International journal of environmental research and public health · 2023
    Article
  10. Review
  11. Review
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

13 authors.

Petra Frings-MeuthenGerman Aerospace Center (DLR), Institute of Aerospace Medicine, Cologne, Germany.
Sara HenkelGerman Aerospace Center (DLR), Institute of Aerospace Medicine, Cologne, Germany.
Michael BoschmannExperimental and Clinical Research Center - a joint co-operation between Charité Universitätsmedizin Berlin and Max Delbrück Center for Molecular Medicine, Berlin, Germany.
Philip D ChilibeckCollege of Kinesiology, University of Saskatchewan, Saskatoon, SK, Canada.
José Ramón Alvero CruzFacultad de Medicina, Instituto de Investigación Biomédica de Málaga, Universidad de Málaga, Málaga, Spain.
Fabian HoffmannGerman Aerospace Center (DLR), Institute of Aerospace Medicine, Cologne, Germany.
Stefan MöstlGerman Aerospace Center (DLR), Institute of Aerospace Medicine, Cologne, Germany.
Uwe MittagGerman Aerospace Center (DLR), Institute of Aerospace Medicine, Cologne, Germany.
Edwin MulderGerman Aerospace Center (DLR), Institute of Aerospace Medicine, Cologne, Germany.
Natia RittwegerGerman Aerospace Center (DLR), Institute of Aerospace Medicine, Cologne, Germany.
Wolfram SiesGerman Aerospace Center (DLR), Institute of Aerospace Medicine, Cologne, Germany.
Hirofumi TanakaDepartment of Kinesiology and Health Education, The University of Texas at Austin, Austin, TX, United States.
Jörn RittwegerGerman Aerospace Center (DLR), Institute of Aerospace Medicine, Cologne, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resting energy expenditure (REE) is determined mainly by fat-free mass (FFM). FFM depends also on daily physical activity. REE normally decreases with increased age due to decreases in FFM and physical activity. Measuring REE is essential for estimating total energy expenditure. As such, there are a number of different equations in use to predict REE. In recent years, an increasing number of older adults continue to participate in competitive sports creating the surge of master athletes. It is currently unclear if these equations developed primarily for the general population are also valid for highly active, older master athletes. Therefore, we tested the validity of six commonly-used equations for predicting REE in master athletes. In conjunction with the World Masters Athletic Championship in Malaga, Spain, we measured REE in 113 master athletes by indirect calorimetry. The most commonly used equations to predict REE [Harris & Benedict (H&B), World Health Organization (WHO), Müller (MÜL), Müller-FFM (MÜL-FFM), Cunningham (CUN), and De Lorenzo (LOR)] were tested for their accuracies. The influences of age, sex, height, body weight, FFM, training hours per week, phase angle, ambient temperature, and athletic specialization on REE were determined. All estimated REEs for the general population differed significantly from the measured ones (H&B, WHO, MÜL, MÜL-FFM, CUN, all

Indexed as

body compositionenergy metabolismmaster athletespredictive equationresting energy expenditure

Identifiers

PMID33828487
PMCPMC8020034

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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.