Efecto de sobrecargas ligeras sobre el rendimiento del salto vertical con contramovimiento / Effect Of Light Overloads On Countermovement Vertical Jump Performance
Bibliographic record
Abstract
El propósito de este estudio ha sido determinar el efecto de diferentes sobrecargas ligeras sobre el impulso vertical, la velocidad del centro de masas y el máximo pico de potencia, durante la realización de dos saltos verticales máximos consecutivos. Han participado 28 deportistas practicantes de modalidades deportivas donde el salto vertical constituye una habilidad básica. Se ha utilizado una plataforma de fuerza, operando a 500 Hz, sincronizada temporalmente a una cámara de vídeo, que registraba a 210 Hz el plano sagital de los saltos realizados sobre la plataforma. Los resultados indican que, cuando se utilizan sobrecargas del 7,5% del peso corporal, el tiempo utilizado durante la fase de contramovimiento se incrementa. El impulso vertical y el pico de potencia no varían con el uso de los diferentes niveles de las sobrecargas utilizadas, sin embargo, la velocidad de despegue se reduce un porcentaje similar al incremento de la carga.PALABRAS CLAVE: Biomecánica, fuerza, impulso, sobrepeso, salto vertical. ABSTRACTThe purpose of this study was to determine the effect of different light overloads on the vertical impulse, velocity of center of mass and peak power during two consecutive maximum vertical jumps. 28 athletes practicing different sports where vertical jump is a basic skill have participated. A force platform, operating at 500 Hz, temporally synchronized to a video camera, which recorded at 210 Hz the sagittal plane of the jumps were used for the analysis. The results have shown that when overloads of 7,5% of body weight were used , the time used for the counter- phase increased. The vertical impulse and peak power did not vary with the use of different levels of light overloads used in this study, however, the take-off velocity the CM was reduced with a similar percentage that increased the overload.KEYWORDS: Biomechanics, force, impulse, overweight, vertical jump.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".