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Record W4408121377 · doi:10.1007/s11332-025-01351-8

Six minutes of foam rolling or bodyweight holding impair subsequent drop jump performance: a randomized controlled trial

2025· article· en· W4408121377 on OpenAlexaff
Konstantin Warneke, Jana Iken, David G. Behm, Martin Hillebrecht

Bibliographic record

VenueSport Sciences for Health · 2025
Typearticle
Languageen
FieldMedicine
TopicSports injuries and prevention
Canadian institutionsMemorial University of Newfoundland
FundersFriedrich-Schiller-Universität Jena
KeywordsRandomized controlled trialHuman physiologyMedicineDrop (telecommunication)SurgeryInternal medicineComputer science

Abstract

fetched live from OpenAlex

Abstract Foam rolling (FR) is suggested to be a valid alternative movement preparation strategy to stretching, with comparable range of motion (ROM) increases without the performance decrements associated with prolonged static stretching. Nevertheless, prior literature used small FR volumes, while secondly comparing results to a passive control. Passive control comparisons do not allow for a differentiation between FR and general movement effects. Consequently, this study randomly allocated 60 participants (20 per group) to a control (CG), FR or bodyweight (BW) group. The BW performed FR movements without using a FR to explore whether using the roll would provide superior effects compared to the SR condition on drop jump (DJ) performance. While hypothesizing beneficial FR effects on subsequent performance, the results showed 6 min of FR and SR resulted in a significant, large magnitude effect size ( p < 0.001, ƞ 2 = 0.26 − 0.45, d = 0.64 – 0.85), reduction in the subsequent DJ height and the reactive strength index while no effects were observed in the CG. Consequently, the results demonstrated that similar to the reported impairments related to prolonged static stretching, high dosage FR could harm subsequent jump performance parameters. Further research is necessary to discriminate acute FR effects from general exercise effects.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.437

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.374
Teacher spread0.348 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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