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Hormonal responses to a rugby match: a brief review

2018· review· en· W2783421628 on OpenAlexaff
Maamer Slimani, Foued Chéour, Wassim Moalla, Julien S. Baker

Bibliographic record

VenueThe Journal of Sports Medicine and Physical Fitness · 2018
Typereview
Languageen
FieldMedicine
TopicSports Performance and Training
Canadian institutionsHamilton Health Sciences
Fundersnot available
KeywordsModerationAthletesTestosterone (patch)PsychologyPopulationEndocrine systemHormoneFootballPoison controlInjury preventionMedicinePhysical therapySocial psychologyMedical emergencyEndocrinology

Abstract

fetched live from OpenAlex

INTRODUCTION: Rugby is an intermittent team sport, commonly stressing the endocrine system by physiological efforts. However, no review has synthesized the available literature on the hormonal responses to a rugby match. The purpose of this review was to examine the hormonal responses to a rugby match. Mediator and moderator variables for the rugby match-hormonal responses relationship were also discussed. EVIDENCE ACQUISITION: The systematic search was conducted using different databases and according to the Population/Intervention or Exposure/Comparison/Outcome(s) (PICO) criteria. EVIDENCE SYNTHESIS: The data obtained in the present review show that match contests were the moderator variable between rugby match-testosterone changes relationship. Particularly, official matches decreased pre-to-post testosterone levels by 43.9%, while simulated matches increased pre-to-post testosterone levels by 33.6%. There were no significant differences between official and simulated contests for the cortisol response to a rugby match which could be explained in part by the small numbers of included studies and participants (71 high-level male players). Thus, it has been shown that a rugby match provides considerable stress to the endocrine system, which lasts up 38-48 h into the recovery period. CONCLUSIONS: The hormonal assessment of rugby players is a valid tool for monitoring stress during a rugby match and provides the opportunity to identify how athletes cope with stress induced by a competition. The information also provides potential for various mental/recovery strategies that may contribute to performance enhancement.

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)0.002
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.927
Threshold uncertainty score0.850

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.001
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 head0.087
GPT teacher head0.396
Teacher spread0.309 · 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 designOther design
Domainnot available
GenreReview

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

Citations13
Published2018
Admission routes1
Has abstractyes

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