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Record W2075706733 · doi:10.1519/jsc.0000000000000377

Sex-Related Differences in Explosive Actions During Late Childhood

2014· article· en· W2075706733 on OpenAlexaff
César Meylan, John Cronin, Jon L. Oliver, Michael C. Rumpf

Bibliographic record

VenueThe Journal of Strength and Conditioning Research · 2014
Typearticle
Languageen
FieldMedicine
TopicSports Performance and Training
Canadian institutionsCanadian Sport Centre Pacific
Fundersnot available
KeywordsSprintDemographyAllometryExplosive strengthSexual maturityMaturity (psychological)Body heightVertical jumpAnimal scienceJumpPsychologyMedicineBiologyInternal medicineBody weightDevelopmental psychologyEcologyPhysical therapyPhysics

Abstract

fetched live from OpenAlex

The purpose of this study was to examine sex-related differences in explosive actions during late childhood, while accounting for body size and maturity, and determine the predictive model responsible for performance. Sixty-eight boys (11.0 ± 1.1 years) and 45 girls (11.3 ± 0.9 years) performed a vertical and horizontal jump, 30-m sprint, and change of direction (COD) time trial. After allometric analysis, a common sex scaling factor of body mass was used for vertical (b = 1.02) and horizontal (b = 0.97) power. No significant sex difference in relative leg power was found before and after controlling for maturity status. Gender differences in 10 m, the Zigzag section, and flying 10 m of the COD task were found significant once adjusted for maturity (p ≤ 0.05). However, boys performed better than girls in 20- and 30-m sprint and the COD time trial regardless of maturity status (p ≤ 0.05). Reduced endomorphy in boys was the best predictor of explosive actions (R = 7-22%), whereas female performance was best explained by mass and maturity status (R = 15-19%). Jump power-specific allometric scaling factors need to be determined to account for body size. A training emphasis on sprinting and COD at a younger age in girls compared with boys is recommended because of their earlier onset of puberty and reduced natural ability in these tasks. Somatotype, age, maturity, and body mass should be monitored during the development of youth athletes to better understand explosive performance.

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)0.001
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 score0.035
Threshold uncertainty score0.339

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.043
GPT teacher head0.329
Teacher spread0.286 · 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

Citations21
Published2014
Admission routes1
Has abstractyes

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