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Effect of Pectoralis Minor Length on Scapular Endurance and Core Endurance in Young Women

2025· article· en· W4410493599 on OpenAlexaboutno aff
Emine Cihan, Cansu Şahbaz Pirinççi, Hasan Gerçek, Mine Özkunduracı, Ömer Ogulcan Karasoy

Bibliographic record

VenueInternational Journal of Morphology · 2025
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
FundersTürkiye Bilimsel ve Teknolojik Araştırma Kurumu
KeywordsCore (optical fiber)Minor (academic)Endurance trainingAnatomyMedicinePhysical therapyArtEngineeringTelecommunicationsHumanities

Abstract

fetched live from OpenAlex

Pectoralis minor (PM) are muscle groups that play a role in stabilizing the scapula.The aim of this study is to evaluate the effects of PM muscle length on scapular and core muscle endurance in the dominant and non-dominant limb.A total of 93 women were included in the study.Demographic data were recorded.PM length was measured with a caliper.Scapular muscle endurance was evaluated using the scapular isometric compression test and core endurance using McGill's torso-muscular endurance test battery.Multiple linear regression analysis revealed that dominant pectoralis minor length and pectoralis minor index and non-dominant pectoralis minor length and pectoralis minor index can affect trunk flexion and trunk extension.The longest muscle endurance time was found in the scapular test (46.32),followed by the core tests performed in extension (30.37 s), flexion (26.17 s), dominant side bridge position (10.06 s), non-dominant side bridge position (9.36 s).PM length had no effect on scapular and core muscle endurance measured in the side bridge position.In the trunk flexion and extension positions was directly related to the dominant and non-dominant PM muscle length.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.297

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.012
GPT teacher head0.344
Teacher spread0.332 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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