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Record W2282849670

Variables antropométricas y de rendimiento físico en niños y niñas de 10-15 años de edad

2015· article· es· W2282849670 on OpenAlexaboutno aff
José Antonio Domínguez Montes, Luís Sánchez Medina, David Rodríguez Rosell, Juan José González‐Badillo

Bibliographic record

VenueRETOS. Nuevas Tendencias en Educación Física, Deporte y Recreación · 2015
Typearticle
Languagees
FieldHealth Professions
TopicHealth and Lifestyle Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSprintHumanitiesMedicineArtPhysical therapy
DOInot available

Abstract

fetched live from OpenAlex

espanolEl objetivo fue comprobar la relacion y los cambios en la evolucion de variables antropometricas basicas y el rendimiento en pruebas fisicas en personas de 10-15 anos de edad. Se seleccionaron 76 ninos y ninas al ~50%. Se formaron seis grupos, segun la edad. Se midieron la talla, el peso corporal (PC), el indice de masa corporal (IMC), el sprint en 0-20 m, el salto vertical (CMJ) y un test de resistencia [Test de la Universidad de Montreal (TUM)]. En la distancia de 0-10 m de sprint y en CMJ, solo a partir de los 13 anos se alcanzaron diferencias significativas con respecto al grupo de 10 anos, y ningun grupo mejora de manera significativa con respecto al grupo de 12 anos. En la distancia de 10-20 m y de 0-20 m de sprint se observaron diferencias significativas desde 12 anos con respecto a 10 anos, y desde 13 con respecto a 11, pero solo el grupo 15 anos fue superior al de 12. En el TUM se observo una tendencia a aumentar el resultado desde 10 a 14 anos, pero en ningun caso las diferencias fueron significativas. Las relaciones entre el CMJ y TUM con el sprint fueron todas significativas y negativas. El control del peso corporal no redujo estas relaciones. El IMC presento correlaciones positivas con el sprint, y negativas con CMJ y TUM, y el control de la talla aumento todas estas correlaciones. El IMC fue estable durante todo el rango de edad. Los sujetos mas resistentes tendian a ser tambien mas rapidos y a saltar mas. La relacion entre el IMC y la resistencia fueron independientes de la edad. EnglishThe objective was to determine the relationship and changes in the evolution of basic anthropometric variables and physical performance tests in children aged 10-15 years. Seventy-six boys and girls were selected (approximately 50% of each). Six groups were formed according to age. Assessments included height, body weight (BW), body mass index (BMI), 0-20 m sprint, vertical jump (CMJ), and an endurance test [Test of the University of Montreal (TUM)]. In the distance of 0-10 m. sprint and CMJ, only from 13 years significant differences from the group 10 years were reached, and no group improved significantly compared to the group of 12. In the distance of 10-20 m and 0-20 m sprint significant differences from 12 years to 10 years, and from 13- to 11- years, were observed, but only the 15- years old group did better than the 12- years old. Regarding TUM, a tendency to increase the output from 10 to 14 years was observed, but in any case the differences were significant. Relations between the CMJ and TUM with sprint were all significant and negative. Controlling for body weight did not reduce these relationships. The IMC showed positive correlations with sprint, and negative with CMJ and TUM, and controlling for height increased these correlations. BMI was stable throughout the age range. The subjects with the highest endurance also tended to be faster and jump higher. The relationship between BMI and endurance was independent of age.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.057
GPT teacher head0.410
Teacher spread0.353 · 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 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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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