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Record W2758901291 · doi:10.1177/1747954117727810

The training-specific adaptations resulting from resistance training, gymnastics and plyometric training, and non-training in adolescent athletes

2017· article· en· W2758901291 on OpenAlexaff
Josh L. Secomb, Oliver R.L. Farley, Sophia Nimphius, Lina Lundgren, Tai T. Tran, Jeremy M. Sheppard

Bibliographic record

VenueInternational Journal of Sports Science & Coaching · 2017
Typearticle
Languageen
FieldMedicine
TopicSports Performance and Training
Canadian institutionsCanadian Sport Centre Pacific
Fundersnot available
KeywordsIsometric exerciseAthletesEccentric trainingSquatEccentricPhysical medicine and rehabilitationPhysical therapyPlyometricsMedicineMuscle stiffnessJumpStiffness

Abstract

fetched live from OpenAlex

Although previous research has investigated the training-specific adaptations to training in adults, there is a paucity of research aimed at investigating these adaptations in adolescent athletes. As such, adolescent athletes’ training-specific adaptations from three different training interventions were investigated in this study. Sixteen adolescent athletes participated in this study, whereby eight performed both training interventions and eight the non-training control. Pre- and post-testing was performed for each intervention with the testing battery: ultrasonography of the vastus lateralis and lateral gastrocnemius, countermovement jump, squat jump, and isometric mid-thigh pull. The resistance training group had large significant increases in isometric mid-thigh pull relative peak force ( p < 0.01, g = 0.85 (−0.01, 1.71)) and vastus lateralis fascicle length ( p = 0.04, g = 0.94 (0.07, 1.80)). The gymnastics and plyometric group demonstrated large significant changes in vastus lateralis pennation angle ( p = 0.03, g = −0.94 (−1.81, −0.08)) and fascicle length ( p = 0.03, g = 1.07 (0.19, 1.95)), and moderate significant increases in lateral gastrocnemius thickness ( p = 0.01, g = 0.63 (−0.21, 1.47)) and eccentric leg stiffness ( p = 0.03, g = 0.60 (−0.24, 1.44)). No significant changes were observed for any variables in the non-training group. The resistance training evoked increases in lower-body force producing capabilities, whereas the gymnastics and plyometric training evoked changes in muscle structure and inherent muscle qualities.

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)0.004
metaresearch head score (Gemma)0.001
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 score0.633
Threshold uncertainty score0.910

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.073
GPT teacher head0.329
Teacher spread0.256 · 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

Citations16
Published2017
Admission routes1
Has abstractyes

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