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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.
Full 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.
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Inclusion and exclusion criteria
Inclusion Criteria: Amateur boxers from the State of Mexico with no declared health issues -
Exclusion Criteria: Amateur boxers from the State of Mexico with any declared health issues
178 participants in 2 patient groups
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Central trial contact
Juán A Rodríguez Chávez, Mg; Rodrigo D Merlo, PhD
Data sourced from clinicaltrials.gov
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