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Record W4391612479 · doi:10.1002/ejsc.12061

Seven weeks of pectoralis muscle stretching does not induce non‐local effects in dorsiflexion ankle range of motion

2024· article· en· W4391612479 on OpenAlexaff
Andreas Konrad, Marina Maren Reiner, Josefina Manieu, Josef E. Fischer, Adrian Schöpflin, Markus Tilp, David G. Behm

Bibliographic record

VenueEuropean Journal of Sport Science · 2024
Typearticle
Languageen
FieldMedicine
TopicSports injuries and prevention
Canadian institutionsMemorial University of Newfoundland
FundersAustrian Science Fund
KeywordsAnkle dorsiflexionRange of motionAnkleMedicinePhysical therapyPhysical medicine and rehabilitationPectoralis major muscleSurgery

Abstract

fetched live from OpenAlex

Abstract Both an acute bout, as well as chronic static stretching (SS), can increase the joint range of motion (ROM). However, ROM increases of a non‐stretched muscle (non‐local) are reported following an acute SS session, and these effects have not been studied for long‐term SS training. Therefore, this study aimed to investigate the effects of a comprehensive 7‐week SS training program of the pectoralis muscles on ankle dorsiflexion ROM. Thirty‐three healthy, physically active participants (20 male and 13 female) were assigned to either the SS ( n = 18) or the control ( n = 15) group. The SS group performed a 7‐week SS intervention that comprised three sessions a week, including three exercises of the pectoralis muscles for 5‐min each. Before and after the intervention period, the ankle dorsiflexion ROM was tested with a dynamometer. There was no significant time ( p = 0.93, F 1,31 = 0.008; η 2 = 0.000) or time x group effect ( p = 0. 56, F 1,31 = 0.342; η 2 = 0.011) in ankle dorsiflexion ROM, indicating no changes in ROM in the intervention as well as the control group. Although previous studies on the acute effects of stretching reported non‐local increases in ROM, our study showed no such changes after 7 weeks of SS training. Consequently, if the goal is to chronically increase the ROM of a specific joint, it is recommended to directly stretch the muscles of interest.

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)0.003
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.656
Threshold uncertainty score0.263

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.013
GPT teacher head0.278
Teacher spread0.266 · 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 designObservational
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

Citations3
Published2024
Admission routes1
Has abstractyes

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