Background: The aim of this study was to gain new knowledge about the force-velocity (F-V) profile in Judoist and freestyle wrestlers, investigating if there were any differences between sports and which physical demands have which fighting modalities. Participants: 24 athletes (male) took part in this study. Twelve Judoist (age: 20.3 ± 3.9 years, weight: 76.4 ± 10.4 kg; height: 179.4 ± 5.3 cm; BMI: 32.2 ±1.9 kg/m2) and twelve freestyle wrestlers (age: 19.6 ± 4.5 years, weight: 65.3 ± 13.6 kg; height: 177.5 ±5.7 cm; BMI: 23.8 ± 1.8 kg/m2) participated. Methods: To evaluate the F-V profile, the participants performed a squat jump (SJ) without load, as well as with different load conditions (0, 25, 50, 75, and 100% of athlete’s body mass). To assess the height of the jump, the OptoGait system was used. Consequently, the theoretical maximal force (F 0); the theoretical maximal velocity (V 0); maximal mechanical power output (Pmax); slope of the linear F-V relationship (Sfv); optimal F-V profile (Sfvopt ); and the differences between Sfv and Sfvopt (FV imb% ) were obtained. Results: A higher F 0 and lower V 0 were found in Judo athletes compared to wrestlers. Significant differences were found in Sfv and FV imb (p<0.001). Conclusion: The F-V profile is an accurate, reliable, and economical method that facilitates the evaluation of the current state of the athlete individually. Practical applications: The F-V profile method allows coaches and athletes to adjust their training objectives to achieve a higher level in their sport.
Desde hace unos años, se ha intensificado la necesidad de evaluar la sociedad colocando en el centro a las personas y considerando como objetivos la felicidad, la satisfacción de vida y sus preocupaciones personales. En este trabajo, se analiza la relación de la valoración de la situación económica personal con la satisfacción con la vida (en general y diversos aspectos como trabajo, formación, familia, etc.), con el índice de felicidad y con los grados de preocupación con diversos aspectos personales y del entorno cercano a partir de una encuesta realizada en Andalucía en 2018. Para ello, además del análisis de las correlaciones bivariadas, se procede a aplicar modelos de regresión logística ordinal que permitan explicar las relaciones de los distintos indicadores personales de satisfacción, felicidad y preocupaciones con la valoración de la situación económica personal en la actualidad y las perspectivas futuras, ambas diseñadas como variables ordinales.
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