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Record W4213341878 · doi:10.47197/retos.v44i0.89997

Efecto del entrenamiento de intervalo en jugadores mexicanos juveniles de fútbol soccer (Effect of interval training in the performace of mexican juvenile soccer players)

2022· article· es· W4213341878 on OpenAlexaboutno aff
Ricardo Ortiz Pulido, Rubén Ortiz-Pulido, Julio Alejandro Gómez Figueroa, Raúl Ortiz‐Pulido

Bibliographic record

VenueRetos · 2022
Typearticle
Languagees
FieldMedicine
TopicSports Performance and Training
Canadian institutionsnot available
Fundersnot available
KeywordsJuvenileHumanitiesPsychologyBiologyArt

Abstract

fetched live from OpenAlex

En un partido de fútbol soccer los jugadores emplean su capacidad física para lograr un buen desempeño. Se ha sugerido que dicha capacidad puede ser entrenada utilizando el entrenamiento de intervalo. El objetivo de este trabajo fue comparar el rendimiento físico de jugadores juveniles de fútbol antes y después de que practicaran entrenamiento de intervalo. Para probarlo se evaluó el desempeño físico de 38 jugadores juveniles de fútbol empleando el test de pista de la Universidad de Montreal y el test de Hoff. El desempeño de los jugadores se evaluó considerando su velocidad aeróbica máxima en kilómetros por hora, el volumen máximo de oxígeno (VO2max) indirecto en mililitros por kilogramo por minuto, la distancia recorrida en metros y la frecuencia cardiaca basal en latidos por minuto en descanso, antes y después de ocho semanas de entrenamiento de intervalo. Los sujetos analizados mejoraron significativamente su capacidad aeróbica después del entrenamiento de intervalo en todas las variables medidas (velocidad aeróbica máxima 15.76 ± 0.12 [media ± 1 error estándar] antes y 17.08 ± 0.13 después; VO2max 55.17 ± 0.43 antes vs 59.78 ± 0.45 después; distancia recorrida 1461.37 ± 11.20 antes vs 1593.79 ± 13.21 después; frecuencia cardiaca basal 71.58 ± 1.14 antes vs 67.37 ± 1.07 después; en todos los casos p <0.0001). Concluimos que el entrenamiento de intervalo aplicado fue de ayuda para mejorar el desempeño físico de los jugadores juveniles de fútbol analizados. Abstract. In order to achieve a good performance in a soccer match, soccer players use aerobic capacity. It has been suggested that such capacity can be trained using Interval Training. The purpose of this research was to compare the performance of juvenile soccer players before and after they practiced interval training. To prove it we assessed the physical performance of 38 juvenile soccer players using Université Montreal track test and Hoff test. Their performance was evaluated before and after the interval training measuring maximal aerobic speed in kilometers per hour, indirect maximum oxygen volume (VO2max) in mm/kg/min, traveled distance in meters and basal heart rate in beats per minute. The juvenile soccer players performance increased significantly at all the variables measured after the interval training (maximal aerobic speed 15.76 ± 0.12 [mean ± 1 standard error] before and 17.08 ± 0.13 after; VO2max 55.17 ± 0.43 before vs 59.78 ± 0.45 after; traveled distance 1461.37 ± 11.20 before vs 1593.79 ± 13.21 after; basal heart rate 71.58 ± 1.14 before vs 67.37 ± 1.07 after; in all the cases p <0.0001). We concluded that the interval training was helpful to improve physical performance in the juvenile soccer players tested.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.297
Teacher spread0.282 · 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 designNon-randomized trial
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

Citations2
Published2022
Admission routes1
Has abstractyes

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