Literature DB >> 30300035

Critical Speed as a Measure of Aerobic Fitness for Male Rugby Union Players.

Mark Kramer, Mark Watson, Rosa Du Randt, Robert W Pettitt.   

Abstract

PURPOSE: To compare critical speed (CS) derived from all-out testing (AOT) for linear and shuttle running with metrics from a graded exercise test, the Yo-Yo Intermittent Recovery Test  Level 1 (YYIR1), and estimation of an 800-m-shuttle time trial.
METHODS: Twelve male rugby players completed a graded exercise test, the YYIR1, a linear AOT, shuttle AOTs of 25 and 50 m, and an 800-m-shuttle time trial consisting of 32 × 25-m shuttles.
RESULTS: Strong linear correlations were observed between maximum oxygen uptake ( V˙O2max ) and CS (m·s-1) derived from the linear AOT (3.68 [0.62], r = .90, P < .01) and 50-m-shuttle AOT (3.19 [0.26], r = .83, P < .01). Conversely, V˙O2max showed lower correlations with speeds evoking CS from 25-m AOT (2.86 [0.18], r = .42, P = .18) and YYIR1 (4.36 [0.11], r = .55, P = .07). The 800-m time trial (213.58 [15.84] s) was best predicted using parameters from the 25-m AOT (r = .93, SEE = 6.60 s, P < .001).
CONCLUSIONS: The AOT is a valuable method of assessing performance-specific fitness, with CS from linear and 50-m-shuttle AOTs being strong predictors of V˙O2max , rivaling metrics from the graded exercise test. The YYIR1 offered limited utility compared with the AOT method.

Entities:  

Keywords:  3-minute all-out exercise test; zzm321990 zzm321990 zzm321990 Vzzm321990 ˙zzm321990 zzm321990 zzm321990 Ozzm321990 2zzm321990 zzm321990 maxzzm321990 zzm321990 ; shuttle running

Mesh:

Year:  2019        PMID: 30300035     DOI: 10.1123/ijspp.2018-0411

Source DB:  PubMed          Journal:  Int J Sports Physiol Perform        ISSN: 1555-0265            Impact factor:   4.010


  2 in total

1.  Critical speed and finite distance capacity: norms for athletic and non-athletic groups.

Authors:  Mark Kramer; E J Thomas; R W Pettitt
Journal:  Eur J Appl Physiol       Date:  2020-02-22       Impact factor: 3.078

2.  Using wearable technology to monitor exercise intensity and predict V ˙ O 2 m a x .

Authors:  Robert W Pettitt; Sarah K Fretti; Michael A Kantor; Coral Gubler
Journal:  Mhealth       Date:  2021-04-20
  2 in total

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