Evidence map›Paper›PMID 41835330›Full record

ArticleBMJ open sport & exercise medicine2026

Should we use fat-free mass or body mass and percentage body fat as separate predictors to predict maximum oxygen uptake?

Alan Nevill, Matthew Harber, Matthew Wyon, Jonathan Myers, Ross Arena, Tony Myers, Leonard A Kaminsky

Abstract read
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In one paragraph

Article in BMJ open sport & exercise medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Alan NevillFaculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, UK.ORCID https://orcid.org/0000-0003-0506-3652
Matthew HarberHealth Sciences, Taylor University, Upland, Indiana, USA.
Matthew WyonSport and Physical Activity Research Centre, University of Wolverhampton Faculty of Education Health and Wellbeing, Walsall, UK.ORCID https://orcid.org/0000-0003-0942-2333
Jonathan MyersCardiology, VA Palo Alto Health Care System, Palo Alto, California, USA.ORCID https://orcid.org/0000-0003-2592-136X
Ross ArenaDepartment of Physical Therapy, University of Illinois Chicago, Chicago, Illinois, USA.
Tony MyersNewman University, Birmingham, West Midlands, UK.
Leonard A KaminskyBall State University, Muncie, Indiana, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/objective: To assess whether fat-free mass (FFM) or body mass (M) is the more appropriate body size variable to predict maximum oxygen uptake (VO Methods: Data (3930 cardiopulmonary exercise tests) were provided from the FRIEND registry. Our prediction equations adopted the well-known allometric/power function model VO Results: Initially, when predicting Ln(VO Conclusion: Incorporating FFM into equations to predict VO

Indexed as

Aerobic fitnessBody compositionExercise testingFitness testing

Identifiers

PMID41835330
PMCPMC12983784

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.