applicability of an agility test in young players in the soccer field

applicability of an agility test in young players in the soccer field

;Iraia Bidaurrazaga-Letona;Humberto Moreira Carvalho;José António Lekue;Aduna Badiola;António José Figueiredo;Susana María Gil
research disclosure 2015 Vol. 21 pp. 133-138
273
bidaurrazaga-letona2015revistaapplicability

Abstract

INTRODUCTION: in soccer, agility is a relevant parameter that is defined as the ability to change the direction of the body rapidly and is a result of a combination of strength, speed, balance and coordination. OBJECTIVE: to demonstrated the reliability and validity of the modified Barrow test in soccer players aged 10 to 14 years, analyze its relationship with age, maturation, experience and body size and test the effectiveness of the protocol for distinguishing performance changes during a 10-month competitive season. METHODS: fifty-one adolescent Basque soccer players were enrolled. Age, maturation, experience, body size, vertical jump and 15-m sprint were measured. The reliability of the test was analyzed using replicate tests in a subgroup n = 34. Another subgroup of 33 players n =18, under-11, 10.4 ± 0.3 years; n = 15 under-13, 12.0 ± 0.8 years was evaluated at the beginning and the end of the season. RESULTS: the reliability of the test was good change in mean = -0.5%, 95% CI -1.2 to 0.2, SD=0.14; coefficient of variation = 0.9%, 95% CI - 0.7 to 1.5, SD=0.25. Chronological age and adiposity were significant predictors of agility performance P<0.01. An improvement in performance was observed over a 10-month soccer season, with a significant group effect P<0.01. CONCLUSION: the agility test demonstrated logic and validity, and proved to be a reliable and objective instrument for assessing adolescent soccer players.

Citation

ID: 201932
Ref Key: bidaurrazaga-letona2015revistaapplicability
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
201932
Unique Identifier:
10.1590/1517-869220152102144406
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet