Evidence map›Paper›PMID 25293431›Full record

Trial reportEuropean journal of clinical nutrition2015

Effect of resistance training on resting metabolic rate and its estimation by a dual-energy X-ray absorptiometry metabolic map.

J C Aristizabal, D J Freidenreich, B M Volk, B R Kupchak, C Saenz, C M Maresh, W J Kraemer, J S Volek

Open access · bronzeAbstract readComparative StudyRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in European journal of clinical nutrition, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 19% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.

  1. Pooled it
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  15. Accuracy of Resting Metabolic Rate Prediction Equations in Sport Climbers.International journal of environmental research and public health · 2023
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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

8 authors at 2 institutions in 1 country.

J C Aristizabal1] The Human Performance Laboratory, Department of Kinesiology, University of Connecticut, Storrs, CT, USA [2] Grupo de Investigación en Fisiología y Bioquimica (PHYSIS), Universidad de Antioquia, Medellín, Colombia.
D J FreidenreichThe Human Performance Laboratory, Department of Kinesiology, University of Connecticut, Storrs, CT, USA.
B M VolkThe Human Performance Laboratory, Department of Kinesiology, University of Connecticut, Storrs, CT, USA.
B R KupchakThe Human Performance Laboratory, Department of Kinesiology, University of Connecticut, Storrs, CT, USA.
C SaenzThe Human Performance Laboratory, Department of Kinesiology, University of Connecticut, Storrs, CT, USA.
C M MareshDepartment of Human Sciences, The Ohio State University, Columbus, OH, USA.
W J KraemerThe Human Performance Laboratory, Department of Kinesiology, University of Connecticut, Storrs, CT, USA.
J S VolekDepartment of Human Sciences, The Ohio State University, Columbus, OH, USA.
University of Connecticut · USThe Ohio State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesFat-free mass (FFM) is the major predictor of resting metabolic rate (RMR). As protein supplementation during resistance training may augment gains in FFM, we investigated the effects of resistance training combined with protein supplementation on RMR and whether RMR responses could be estimated by a dual-energy X-ray absorptiometry (DXA) metabolic map. SUBJECTS/

methodsHealthy adults completed a whole-body periodized resistance training program consisting of 96 workouts (~9 months). Participants were randomly assigned to supplement with whey protein (whey; n=18), soy protein (soy; n=21) or carbohydrate (carb; n=22). RMR was measured using indirect calorimetry (RMR(IC)) and estimated by DXA metabolic mapping (RMR(MM)) pretraining and posttraining.

resultsRMR(IC) increased from pretraining to posttraining in the whole cohort (1653±302 to 1726±291 kcal/day, P=0.001) without differences between the groups. Delta RMR(IC) and RMR(MM) (73±158 vs 52±41 kcal/day were not significantly different by t-test (P=0.303), although they were not significantly correlated (r=0.081; P=0.535). Stepwise regression identified 43% of the shared variance in delta RMR(IC) using total serum thyroxine, RMR(IC) and FFM at baseline (P=0.009).

conclusionsThese results indicate that 9 months of resistance training significantly increased RMR ~5% on average, but there was wide variability between individuals, which can be partially accounted for by changes in FFM and thyroid hormones.

Indexed as

Basal MetabolismDietary SupplementsResistance TrainingSports Nutritional Physiological PhenomenaAbsorptiometry, PhotonAdolescentAdultCalorimetry, IndirectCohort StudiesDietary ProteinsDouble-Blind MethodFemaleHumansMalePatient ComplianceReproducibility of ResultsDietary ProteinsSoybean ProteinsWhey Proteins

Identifiers

PMID25293431
OpenAlexW2093499710

What OpenQuestion holds

Textmetadata
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.