Evidence map›Paper›PMID 41951916›Full record

SynthesisSports medicine (Auckland, N.Z.)2026

The Effects of Advanced Resistance Training Prescription Methods on Strength, Power, Hypertrophy, and Performance Adaptations in Healthy Adults: A Systematic Review and Bayesian Network Meta-analysis.

Nicholas Cowley, Vaughan Nicholson, Ryan Timmins, Gabriella Munteanu, Jonathon Weakley

Abstract readSystematic ReviewNetwork Meta-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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Nicholas CowleySchool of Behavioural and Health Sciences, Australian Catholic University, McAuley at Banyo, Brisbane, QLD, Australia.
Vaughan NicholsonSchool of Allied Health, Australian Catholic University, Brisbane, QLD, Australia.
Ryan TimminsSchool of Behavioural and Health Sciences, Australian Catholic University, McAuley at Banyo, Brisbane, QLD, Australia.
Gabriella MunteanuSchool of Behavioural and Health Sciences, Australian Catholic University, McAuley at Banyo, Brisbane, QLD, Australia.
Jonathon WeakleySchool of Behavioural and Health Sciences, Australian Catholic University, McAuley at Banyo, Brisbane, QLD, Australia. Jonathon.Weakley@acu.edu.au.ORCID http://orcid.org/0000-0001-7892-4885

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdvanced resistance training methods are commonly promoted as superior for long-term improvements in physical qualities and performance capacities. However, at present, there is no clear evidence that advanced resistance training methods are better than traditional approaches, or than one another, in promoting adaptation in healthy adults.

objectivesThis systematic review and Bayesian network meta-analysis aimed to (1) compare advanced methods of resistance training prescription and their effects on strength, power, hypertrophy, and performance adaptations in healthy adults; (2) identify variables that may influence adaptations following specific resistance training methods; and (3) provide a rank order of advanced resistance training methods in their effectiveness for developing each physical capacity.

methodsThis review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension statement for network meta-analyses (PRISMA-NMA). Five databases were searched, with studies included if they were peer-reviewed investigations, written in English, and compared at least two of eight resistance training methods (i.e. traditional resistance training or one of seven advanced methods). Furthermore, studies must have assessed strength, power, hypertrophy, jump, or sprint adaptations. Risk of bias was assessed using the Cochrane Risk of Bias tool V.2. Bayesian network meta-analyses and meta-regressions were performed to quantify the differences between resistance training methods and identify any variables that may moderate adaptations.

resultsStrength and power adaptations were similar across all resistance training methods, with all relative effects from Bayesian network meta-analyses having 95% credible intervals (CrIs) that crossed zero. Consequently, rankings of resistance training methods for strength and power adaptations should be interpreted cautiously due to the lack of any meaningful differences across the separate networks-although network meta-regressions revealed that rest redistribution schemes may be more beneficial for the development of strength in females in comparison to males. Flywheel training resulted in superior jump adaptations, with a greater benefit seen from shorter interventions and lower training volume load. However, rest redistribution schemes resulted in greater jump adaptations than flywheel training with a higher frequency of sessions. A systematic review of the literature also revealed no resistance training method that consistently induces superior adaptations for hypertrophy and sprint performance.

conclusionsWhen aiming to develop a range of physical capacities, there is no clear benefit from using advanced methods over traditional resistance training for inducing adaptation in untrained to moderately trained individuals. However, advanced methods can still be beneficial for practitioners to implement. If practitioners prescribe advanced resistance training methods, it is important for them to consider individual athlete needs, the training cycle, and other training variables that may affect short-term responses as well as chronic adaptations. Future research should target the limitations of the current literature and recruit participants with a greater training age and relative strength, across a range of outcome measures.

Indexed as

Adaptation, PhysiologicalAthletic PerformanceMuscle, SkeletalMuscle StrengthResistance TrainingAdultBayes TheoremHumans

Identifiers

PMID41951916
PMCPMC13457283

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.