Home > Riviste > The Journal of Sports Medicine and Physical Fitness > Fascicoli precedenti > The Journal of Sports Medicine and Physical Fitness 2015 November;55(11) > The Journal of Sports Medicine and Physical Fitness 2015 November;55(11):1329-35

ULTIMO FASCICOLO
 

JOURNAL TOOLS

eTOC
Per abbonarsi
Sottometti un articolo
Segnala alla tua biblioteca
 

ARTICLE TOOLS

Estratti
Permessi
Per citare questo articolo

 

ORIGINAL ARTICLES  EXERCISE PHYSIOLOGY AND BIOMECHANICS 

The Journal of Sports Medicine and Physical Fitness 2015 November;55(11):1329-35

Copyright © 2015 EDIZIONI MINERVA MEDICA

lingua: Inglese

A hierarchical model of factors influencing a battery of agility tests

Naylor J., Greig M.

Sports Injuries Research Group, Department of Sport and Physical Activity, Edge Hill University, Ormskirk, UK


PDF


AIM: The aim of this study was to investigate the hierarchical contributions of anthropometry, strength and cognition to a battery of prescriptive and reactive agility tests.
METHODS: Nineteen participants (mean±S.D.; age:22.1±1.9 years; height: 182.9±5.5 cm; body mass: 77±4.9 kg) completed four agility tests: a prescriptive linear sprint, a prescriptive change-of-direction sprint, a reactive change-of-direction sprint, and a reactive linear deceleration test. Anthropometric variables included body fat percentage and thigh girth. Strength was quantified as the peak eccentric hamstring torque at 180, 300, and 60°·s-1. Mean reaction time and accuracy in the Stroop word-colour Test was used to assess perceptual and decision making factors.
RESULTS: There was little evidence of intertest correlation with the strongest relationship observed between 10 m sprint and t-test performance (r2=0.49, P<0.01). Anthropometric measures were not strong predictors of agility, accounting for a maximum 23% (P=0.12) in the prescriptive change-of-direction test. Cognitive measures had a stronger correlation with the reactive (rather than prescriptive) agility tests, with a maximum 33% (P=0.04) of variance accounted for in the reactive change-of-direction test. Eccentric hamstring strength accounted for 62% (P=0.01) of the variance in the prescriptive change-of-direction test. Hierarchical ordering of the agility tests revealed that eccentric hamstring strength was the primary predictor in 3 of the 4 tests, with cognitive accuracy the next most common predictor.
CONCLUSION: There is little evidence of inter-test correlation across a battery of agility tests. Eccentric hamstring strength and decision making accuracy are the most common predictors of agility performance.

inizio pagina