Evidence map›Paper›PMID 42406853›Full record

ArticlePloS one2026

The load-velocity profiles and exercise-specific velocity zones for seven commonly used weightlifting exercises.

Jonathon Weakley, Tandia Wood, Amador García-Ramos, Tayah R Brennan, Chieh-Ying Chiang, Liam Schultz, J Bryan Mann, Matthew Morrison, Daniela Gonçalves Pedrosa, Mark W Creaby

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Article in PloS one, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Jonathon WeakleySchool of Behavioural and Health Sciences, Australian Catholic University, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0001-7892-4885
Tandia WoodSchool of Behavioural and Health Sciences, Australian Catholic University, Brisbane, Queensland, Australia.
Amador García-RamosDepartment of Physical Education and Sport, University of Granada, Granada, Spain.ORCID https://orcid.org/0000-0003-0608-8755
Tayah R BrennanSchool of Behavioural and Health Sciences, Australian Catholic University, Brisbane, Queensland, Australia.
Chieh-Ying ChiangDepartment of Sports Science Training - Combat, National Taiwan Sport University, Taiwan.
Liam SchultzSchool of Behavioural and Health Sciences, Australian Catholic University, Brisbane, Queensland, Australia.
J Bryan MannDepartment of Kinesiology and Sport Management, Texas A&M University, College Station, Texas, United States of America.
Matthew MorrisonCentre for Human Factors and Systems Science, University of the Sunshine Coast, Sippy Downs, Queensland, Australia.ORCID https://orcid.org/0000-0002-3535-6707
Daniela Gonçalves PedrosaIndependent Researcher.
Mark W CreabySchool of Behavioural and Health Sciences, Australian Catholic University, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0002-7959-7203

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Velocity zones (e.g., 1.0-0.75 m·s-1) are commonly aligned with terminology such as "starting strength", 'speed-strength', 'strength-speed', 'accelerative strength', or 'absolute strength'. However, the load-velocity profiles of most exercises do not align with these discrete bands. The aims of this study were to 1) develop load-velocity profiles of seven weightlifting derivatives; and 2) create exercise-specific velocity zones that can be used to guide training prescription. Fourteen (6 males and 8 females) weightlifting athletes undertook six testing sessions that required maximal strength testing on occasions one and two, and the development of load-velocity profiles for the power snatch, hang power clean, snatch pull, hang clean pull, hang power snatch, clean pull, and hang snatch pull on testing occasions three to six. During each testing occasion, peak velocity was assessed. Linear mixed models with effect size ±95% confidence limits (CL) were used to detect changes across profiles and estimate exercise specific velocity zones. While all load-velocity profiles had a clear reduction in velocity as load was increased, each exercise was found to have substantially different velocity zones when compared to previous recommendations. Of note, all 'absolute strength' zones (i.e., > 80% one repetition maximum) from the weightlifting derivatives were found to be greater than 1.3 m·s-1 which is commonly used as the threshold for 'starting strength'. These findings demonstrate that, if these terms are to be used, exercise-specific load-velocity profiles should be developed. Furthermore, these findings provide practitioners with exercise-specific zones that can be used to enhance training prescription and target specific strength qualities.

Indexed as

ExerciseMuscle StrengthWeight LiftingAdultAthletesFemaleHumansMaleResistance TrainingYoung Adult

Identifiers

PMID42406853
PMCPMC13336466

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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.