Identification of Sports Talents in Boxers

NCT ID: NCT06269848

Last Updated: 2024-03-01

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

ACTIVE_NOT_RECRUITING

Total Enrollment

178 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-02-29

Study Completion Date

2024-06-30

Brief Summary

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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.

Detailed Description

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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.

Conditions

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Body Composition Exercise Test Psychological Well-Being

Study Design

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Observational Model Type

OTHER

Study Time Perspective

CROSS_SECTIONAL

Study Groups

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Junior boxers

Junior category boxers aged 15 to 16 years old

No interventions assigned to this group

Youth boxers

Youth category boxers aged 17 to 18 years old

No interventions assigned to this group

Eligibility Criteria

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Exclusion Criteria

\-
Minimum Eligible Age

15 Years

Maximum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Dynamical Business and Science Society - DBSS International SAS

NETWORK

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Ivan Ávila Castro, Lic.

Role: STUDY_CHAIR

Círculo Internacional de Expertos en Deportes de Combate

Diego A Bonilla

Role: STUDY_DIRECTOR

Research Division, Dynamical Business & Science Society-DBSS International SAS

Rodrigo D Merlo, PhD

Role: PRINCIPAL_INVESTIGATOR

Escuela Nacional de Entrenadores Deportivos

Juan A Rodríguez Chávez, Mg.

Role: STUDY_CHAIR

Research Division, Dynamical Business & Science Society-DBSS International SAS

Jorge L Petro

Role: STUDY_CHAIR

Research Division, Dynamical Business & Science Society-DBSS International SAS

Augusto H Tardito, Lic.

Role: STUDY_CHAIR

Círculo Internacional de Expertos en Deportes de Combate

Locations

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Centro Ceremonial Otomí

México, , Mexico

Site Status

Countries

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Mexico

References

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Finlay MJ, Page RM, Greig M, Bridge CA. Test-retest reliability and sensitivity of senior elite amateur boxers maximal punch force, as quantified by a vertically mounted force plate. PLoS One. 2023 Aug 10;18(8):e0289791. doi: 10.1371/journal.pone.0289791. eCollection 2023.

Reference Type RESULT
PMID: 37561692 (View on PubMed)

Loturco I, McGuigan MR, Pereira LA, Pareja-Blanco F. The load-velocity relationship in the jump squat exercise. Biol Sport. 2023 Apr;40(2):611-614. doi: 10.5114/biolsport.2023.118019. Epub 2022 Sep 6.

Reference Type RESULT
PMID: 37077791 (View on PubMed)

Merlo R, Rodriguez-Chavez A, Gomez-Castaneda PE, Rojas-Jaramillo A, Petro JL, Kreider RB, Bonilla DA. Profiling the Physical Performance of Young Boxers with Unsupervised Machine Learning: A Cross-Sectional Study. Sports (Basel). 2023 Jul 7;11(7):131. doi: 10.3390/sports11070131.

Reference Type RESULT
PMID: 37505618 (View on PubMed)

Bonilla DA, De Leon LG, Alexander-Cortez P, Odriozola-Martinez A, Herrera-Amante CA, Vargas-Molina S, Petro JL. Simple anthropometry-based calculations to monitor body composition in athletes: Scoping review and reference values. Nutr Health. 2022 Mar;28(1):95-109. doi: 10.1177/02601060211002941. Epub 2021 Apr 1.

Reference Type RESULT
PMID: 33792415 (View on PubMed)

Other Identifiers

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ITaDeBo

Identifier Type: -

Identifier Source: org_study_id

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