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Effects of leg contrast strength training on sprint, agility and repeated change of direction performance in male soccer players

2017· article· en· W2983756707 on OpenAlexaff
Mehrez Hammami, Yassine Negra, Roy J. Shephard, Mohamed Souhaiel Chelly

Bibliographic record

VenueThe Journal of Sports Medicine and Physical Fitness · 2017
Typearticle
Languageen
FieldMedicine
TopicSports Performance and Training
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSprintPhysical therapyContrast (vision)MathematicsMedicinePhysical medicine and rehabilitationComputer science

Abstract

fetched live from OpenAlex

BACKGROUND: Contrast training is a popular technique among individuals who are involved in dynamic sports, having as its goal an increase in dynamic muscular performance. It is characterized by the use of high and low loads in the same strength training session. The present investigation aimed to determine the effects of adding 8 weeks of contrast strength training (CSTP) to regular soccer practice in U-17 male soccer players during the competitive season. We hypothesized that CSTP would enhance their performance. METHODS: Subjects were divided randomly between a control group (CG, N.=12) and a contrast strength group (CSG, N.=19). The 2 groups trained together; controls followed the regular soccer program, which was replaced by a contrast strength training program for the experimental group. Performance was assessed before and after training, using 10 measures: 5-10-, 20- 30-, and 40-m sprints, a 4x5 m sprint (S4x5), a 9-3-6-3-9 m sprint with 180° turns (S180), a 9-3-6-3-9 m sprint with backward and forward running (SBF), a Repeated-Shuttle-Sprint Ability Test (RSSA), and a Repeated Change of Direction Test (RCOD). RESULTS: CSG showed gains relative to controls in 5-m (P<0.000), 10-m (P<0.001), 20-m (P<0.001), 30-m (P<0.05) and 40-m (P<0.05) sprints. There were also significant gains in S180°, SBF, and S4 x 5 agility tests (P<0.01), and all RCOD parameters (P<0.05) except RCOD-FI (P=0.055) but no significant change in any RSSA parameters. CONCLUSIONS: We conclude that biweekly contrast strength training can be commended to U-17 male soccer players as a means of improving many important components of athletic performance relative to standard in-season training.

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 score0.270
Threshold uncertainty score0.277

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.040
GPT teacher head0.302
Teacher spread0.263 · 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

Citations29
Published2017
Admission routes1
Has abstractyes

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