Evidence map›Paper›PMID 41995957›Full record

SynthesisSports medicine (Auckland, N.Z.)2026

The Influence of Individual Resistance Training Variables on Muscle Strength: A Systematic Review and Meta-analysis.

Philip Lyristakis, Daniel Wundersitz, Stephen Cousins, Minh Huynh, Emma Zadow, Brett A Gordon

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Sports medicine (Auckland, N.Z.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

6 authors.

Philip LyristakisHolsworth Research Initiative, La Trobe Rural Health School, La Trobe University, Flora Hill, VIC, Australia. P.Lyristakis@latrobe.edu.au.ORCID http://orcid.org/0000-0003-3518-4826
Daniel WundersitzHolsworth Research Initiative, La Trobe Rural Health School, La Trobe University, Flora Hill, VIC, Australia.
Stephen CousinsHolsworth Research Initiative, La Trobe Rural Health School, La Trobe University, Flora Hill, VIC, Australia.
Minh HuynhSport, Performance, and Nutrition Research Group, School of Allied Health, Human Services, and Sport, La Trobe University, Melbourne, VIC, Australia.
Emma ZadowSchool of Health Sciences, Sports Performance Optimisation Research Team, University of Tasmania, Launceston, TAS, Australia.
Brett A GordonHolsworth Research Initiative, La Trobe Rural Health School, La Trobe University, Flora Hill, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResistance training (RT) is used to develop muscle strength for a variety of health and performance benefits. Because of the complexity of variable integration in a RT programme, it is unclear how manipulating RT variables influences the overall dosage (sets × repetitions × exercises × intensity × frequency × duration) expressed as a relative dosage (arbitrary units [au]) or absolute dosage (kilograms) and its effect on muscle strength development.

objectivesWe aimed to investigate how RT volume, intensity and dosage influence muscle strength, and if any individual prescription variable is more important than others for developing muscle strength.

methodsFour databases were systematically searched. Only randomised controlled trials that recorded dynamic muscle strength and provided sufficient training variable data were included. Meta-regressions were performed on pooled muscle strength data, individually for the quadriceps and chest muscle groups, and RT dosage calculations. Quadratic non-linear regressions were performed to investigate if a change in volume, intensity, duration and dosage as continuous variables, as well as frequency, sex and age as categorical variables predicted the change in muscle strength.

resultsThere were 157 articles that contained appropriate data for analysis. A significant dose response for muscle strength for all outcomes was identified (p < 0.01). A plateau in muscle strength was identified at 887,000 au for chest and 773,000 au for quadriceps strength, where further increasing the dosage did not maintain or increase the rate at which muscle strength developed. Non-linear models identified volume and intensity as significant predictors of the relationship between dosage and muscle strength development for relative chest strength. Duration was a significant predictor for relative quadriceps strength.

conclusionsThere is a non-linear dose-response effect for RT dosage and muscle strength, indicating there is no further benefit obtained from increasing dosage beyond 773,000-887,000 au. The variables that influence muscle strength are different between muscle groups, suggesting that the interaction between dosage and individual variables may differ between muscle groups and therefore, to optimise muscle strength development, specific training variables should be prioritised when developing RT programmes. These findings reflect relative changes in strength among primarily untrained individuals and a clear relationship with absolute strength in trained populations could not be determined.

Indexed as

Muscle StrengthResistance TrainingHumansMuscle, SkeletalQuadriceps MuscleRandomized Controlled Trials as Topic

Identifiers

PMID41995957
PMCPMC13457492

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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.