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Record W7120373707

The relationship between upper limb functional performance, shoulder rotation strength and trunk muscle endurance in adolescents throwers

2019· dissertation· pt· W7120373707 on OpenAlexaboutno aff
Rafael Marques Ferrer

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2019
Typedissertation
Languagept
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsThrowingTrunkIntraclass correlationIsometric exerciseUpper limbKinematicsRange of motionAthletes
DOInot available

Abstract

fetched live from OpenAlex

The overhead throwing motion is a complex dynamic activity involving the entire body and this task requires high velocity, high load and a large range of motion with a high degree of precision. This task require a kinetic chain to transfer the force from lower limbs to the trunk and then to the upper limbs, thus allowing a optimum throwing performance. Appearing from this segment interdependence for throwing performance, the assessment of trunk and upper limb function in throwing athletes needs investigation, especially in the adolescent population. The first manuscript of this dissertation was a methodological study aimed at evaluating the reliability and validity of a video analysis of trunk muscle endurance tests in adolescents’ throwers. Fifty-nine male and female athletes between 15 and 18 years old participated. The isometric endurance time of extensor, anterior flexors and right/left lateral flexors trunk muscles which were evaluated by McGill Test by qualitative criterion (VISUAL) and quantitative by bidimensional kinematics analysis (GREATER ISOMETRY). We used Intraclass Correlation Coefficient for reliability, Pearson and Spearman correlation for validity, and Bland Altman plot for agreement. Video analysis using VISUAL or GREATER ISOMETRY criteria to assess trunk endurance in adolescents has excellent reliability and validity in identifying position changes during testing in adolescent athletes. However, these measures do not agree, so the methods are not equivalent. The second paper was an observational study aimed at comparing between genders and analyzing the relationship of trunk endurance and shoulder rotation strength with upper limb functional performance in adolescent throwers. Trunk endurance was assessed by the McGill test (VISUAL and GREATER ISOMETRY, shoulder rotation isometric strength by a hand-held dynamometer, and dominant upper limb functional performance by Y Balance Test Upper Quarter (YBTUQ) and Closed Kinetic Chain Upper Extremity Stability Test (CKCUEST) in 54 healthy handball and volleyball players, both gender. It was concluded that boys have higher trunk lateral flexor strength, shoulder rotation strength and power score by CKCUEST; and there is a relationship between extensor, lateral flexors trunk endurance, shoulder rotation isometric strength and dominant upper limb functional performance in adolescent throwers, mostly with height normalized CKCUEST scores.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.279
Teacher spread0.246 · 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 source (direct Gemma or distilled Codex), 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
Published2019
Admission routes1
Has abstractyes

Explore more

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