Evidence map›Paper›PMID 40680785›Full record

ArticleMedicine and science in sports and exercise2025

Muscle Growth Is Very Strongly Correlated with Strength Gains after Lower Body Resistance Training: New Insight from Within-Participant Associations.

Elisa A Marques, Tom G Balshaw, Mark P Funnell, Emmet J McDermott, Sumiaki Maeo, Lewis J James, Jonathan P Folland

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Article in Medicine and science in sports and exercise, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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4citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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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

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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

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

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4 · The record

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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.

Elisa A Marques
Tom G BalshawSchool of Sport, Exercise, and Health Sciences, Loughborough University, Leicestershire, UNITED KINGDOM.
Mark P Funnell
Emmet J McDermottDepartment of Physical Education and Sport Sciences, University of Limerick, Limerick, IRELAND.
Sumiaki Maeo
Lewis J James
Jonathan P Folland

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeQuantitative mechanistic evidence for muscle size and agonist neuromuscular activation explaining the individual strength gains that occur after resistance training (RT) remains opaque and controversial, with nonsignificant or weak/moderate relationships reported. This study aimed to quantify the within-participant association of strength gains following 15 wk of RT with muscle growth and the changes in agonist neuromuscular activation.

methodsKnee extension muscle strength (isometric maximum voluntary torque (iMVT) and single repetition maximum (1RM)), magnetic resonance imaging-derived quadriceps muscle volume, and normalized (to Mmax) quadriceps surface electromyography amplitude were measured in 39 previously untrained healthy young males, before and after 15 wk of lower body RT (3× per week). Data were analyzed using repeated-measures (within-participant) correlations and linear mixed models.

resultsVery strong repeated-measures correlations were found between muscle growth and strength gains (iMVT: r = 0.92, P < 0.001; 1RM, r = 0.89, P < 0.001). Changes in surface electromyography amplitude were moderately correlated with the changes in strength (iMVT: r = 0.58, P < 0.001; 1RM: r = 0.56, P < 0.001). Linear mixed models revealed muscle growth and changes in neuromuscular activation both had significant positive effects on strength gain, but muscle growth contributed >5-fold more than neuromuscular activation (standardized beta coefficient = 0.88-0.94 vs 0.13-017).

conclusionsUsing more powerful within-participant statistical techniques, these results show that muscle growth is, in fact, very strongly, and neuromuscular activation moderately associated with strength gains after RT. These findings suggest that muscle growth is a major adaptation that is highly relevant to the individual increases in strength of young healthy males after RT.

Indexed as

Muscle DevelopmentMuscle StrengthQuadriceps MuscleResistance TrainingAdultElectromyographyHumansMagnetic Resonance ImagingMaleTorqueYoung AdultHYPERTROPHYIMAGINGMAGNETIC RESONANCEMUSCLE VOLUMENEUROMUSCULAR ACTIVATIONsEMG

Identifiers

PMID40680785
PMCPMC12893175

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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.