Identification of Sports Talents in Boxers

Status Active, not recruiting

Clinical Trial Summary

This study aims to identify sporting talents by profiling a group of young boxers residing in the State of Mexico using unsupervised machine learning methods. This study is supported by Asociación de Boxeo del Estado de México AC (ABEM) and powered by DBSS.

Clinical Trial Description

This cross-sectional study aims to identify sporting talents by profiling a group of young boxers residing in the State of Mexico. The primary outcomes encompass anthropometric, physical, and psychological variables associated with sports performance. In detail, a morphological and body composition analysis will be conducted using anthropometric data. Boxing performance will be assessed by measuring the average acceleration of straight punches over 6 seconds, impact force in the straight boxing punch using a load cell, reactive force index in a counter-movement jump on a force platform, maximum isometric strength in the mid-thigh isometric pull on a force platform, load-velocity profile in the squat exercise using a linear encoder, and cardiorespiratory fitness measured with digital spirometry. Psychometric variables will include well-being level calculated with PERMA+4, attention capacity, perceptual acuity, concentration using the Toulouse test, and coping mechanisms assessed through the coping modes scale. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details

NCT number	NCT06269848
Study type	Observational
Source	Dynamical Business and Science Society - DBSS International SAS
Contact
Status	Active, not recruiting
Phase
Start date	February 29, 2024
Completion date	June 30, 2024

View Details

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