Evidence map›Paper›PMID 42364135›Full record

ArticleEuropean journal of sport science2026

Which Strength Qualities Matter Most for Sprinting? Partitioning Unique and Shared Variance in a Multivariable Model.

Luke R Stutter, David L Carey, Minh Huynh, Matthew W Driller, Charlie J Davids, Lachlan P James

Abstract read
In one paragraph

Article in European journal of sport science, 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

6 authors.

Luke R StutterSport, Performance, and Nutrition Research Group, School of Allied Health, Human Services, & Sport, La Trobe University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0003-3041-4450
David L CareySport, Performance, and Nutrition Research Group, School of Allied Health, Human Services, & Sport, La Trobe University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0001-6388-8957
Minh HuynhSport, Performance, and Nutrition Research Group, School of Allied Health, Human Services, & Sport, La Trobe University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0001-7349-7482
Matthew W DrillerSport, Performance, and Nutrition Research Group, School of Allied Health, Human Services, & Sport, La Trobe University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-9990-8830
Charlie J DavidsSport, Performance, and Nutrition Research Group, School of Allied Health, Human Services, & Sport, La Trobe University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-6370-9434
Lachlan P JamesSport, Performance, and Nutrition Research Group, School of Allied Health, Human Services, & Sport, La Trobe University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-0598-5502

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Individual strength qualities have been associated with sprint performance, but previous researchers have not partitioned the unique and shared variance each contributes, nor included the full range of strength qualities in a single analysis. This study is the first to model all five strength qualities (heavy dynamic, fast dynamic, reactive, isometric, and explosive) concurrently against sprint performance. Multiple regression was used to quantify the unique and shared variance each quality contributes across multiple sprint distances. Eighty-four resistance-trained individuals (62 male, 22 female; 21.4 ± 3.4 years, 79.9 ± 12.1 kg), completed countermovement jumps, drop jumps, isometric squat, isometric mid-thigh pull, and a three-repetition maximum (3RM) back squat, alongside a 40-m sprint. Three multiple linear regression models were constructed to partition the unique and shared variance contributed by each strength quality to sprint performance across 5-40 m and maximal velocity, with sex included as a covariate. Combining countermovement jump height, 3RM back squat, and drop jump reactive strength index explained up to 75.2% of variance in sprint performance. The addition of isometric peak force or force at 100 milliseconds resulted in negligible increases in explained variance.

Indexed as

Athletic PerformanceMuscle StrengthRunningFemaleHumansLinear ModelsMaleResistance TrainingYoung Adultathleteperformancephysical preparationresistance trainingsprinting

Identifiers

PMID42364135
PMCPMC13310131

What OpenQuestion holds

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Registered trials

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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.