Evidence map›Paper›PMID 38896201›Full record

ArticleSports medicine (Auckland, N.Z.)2024

Methods to Assess Energy Expenditure of Resistance Exercise: A Systematic Scoping Review.

Lachlan Mitchell, Luke Wilson, Grant Duthie, Kate Pumpa, Jonathon Weakley, Christopher Scott, Gary Slater

Abstract readScoping Review
In one paragraph

Article in Sports medicine (Auckland, N.Z.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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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

7 authors.

Lachlan MitchellSchool of Behavioural and Health Sciences, Australian Catholic University, North Sydney, Australia. lachlan.mitchell@acu.edu.au.ORCID 0000-0003-1316-3688
Luke WilsonSchool of Behavioural and Health Sciences, Australian Catholic University, North Sydney, Australia.
Grant DuthieSchool of Behavioural and Health Sciences, Australian Catholic University, Strathfield, Australia.ORCID 0000-0001-5920-0363
Kate PumpaResearch Institute for Sport and Exercise, University of Canberra, Canberra, Australia.ORCID 0000-0003-3757-3972
Jonathon WeakleySports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre, Australian Catholic University, Melbourne, Australia.ORCID 0000-0001-7892-4885
Christopher ScottDepartment of Exercise, Health, and Sport Sciences, University of Southern Maine, Maine, USA.
Gary SlaterSchool of Health, University of the Sunshine Coast, Sippy Downs, Australia.ORCID 0000-0003-2753-7847

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNutrition guidance for athletes must consider a range of variables to effectively support individuals in meeting energy and nutrient needs. Resistance exercise is a widely adopted training method in athlete preparation and rehabilitation and therefore is one such variable that will influence nutrition guidance. Given its prominence, the capacity to meaningfully quantify resistance exercise energy expenditure will assist practitioners and researchers in providing nutrition guidance. However, the significant contribution of anaerobic metabolism makes quantifying energy expenditure of resistance exercise challenging.

objectiveThe aim of this scoping review was to investigate the methods used to assess resistance exercise energy expenditure.

methodsA literature search of Medline, SPORTDiscus, CINAHL and Web of Science identified studies that included an assessment of resistance exercise energy expenditure. Quality appraisal of included studies was performed using the Rosendal Scale.

resultsA total of 19,867 studies were identified, with 166 included after screening. Methods to assess energy expenditure included indirect calorimetry (n = 136), blood lactate analysis (n = 25), wearable monitors (n = 31) and metabolic equivalents (n = 4). Post-exercise energy expenditure was measured in 76 studies. The reported energy expenditure values varied widely between studies.

conclusionsIndirect calorimetry is widely used to estimate energy expenditure. However, given its limitations in quantifying glycolytic contribution, indirect calorimetry during and immediately following exercise combined with measures of blood lactate are likely required to better quantify total energy expenditure. Due to the cumbersome equipment and technical expertise required, though, along with the physical restrictions the equipment places on participants performing particular resistance exercises, indirect calorimetry is likely impractical for use outside of the laboratory setting, where metabolic equivalents may be a more appropriate method.

Indexed as

Calorimetry, IndirectEnergy MetabolismLactic AcidResistance TrainingHumansWearable Electronic DevicesLactic Acid

Identifiers

PMID38896201
PMCPMC11393209

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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.