Tests for predicting endurance kayak performance

Steve Olivier, M. F. Coetsee

Research output: Contribution to journalArticle

Abstract

Objectives: Previous studies investigating factors contributing to kayak performance have employed sophisticated physiological measures, and the use of specialised dynamometers, to simulate the kayak stroke. Such measures do not have general utility, and the aim of this study was to identify tests that could be performed in the field, in order to predict kayak performance. Methods: The following variables were measured on 23 competitive endurance kayakers, who provided written informed consent: Arm crank VO2 peak; 1 minute dips; armspan; modified sit-and-reach; grip strength; body mass; height. These were selected on the basis of their being identified as possibly contributing to performance, and on their applicability in terms of on-site testing. The dependent variable for analysis was a 7 km race, performed one week after the field tests. Results: Using multiple regression forward stepwise selection, relative VO2 peak (arm crank) was the only significant predictor (p = 0.006, r = -0.81), with dips (p = 0.153) and armspan (p = 0.133) being next in terms of hierarchical contribution. For race performance and VO2 peak 65.8 % of the variance in one measure was explained by the variance in the other. Utilising VO2 peak with race performance as the dependent variable, the following regression equation was generated: Time = 46.315 - 0.22 (VO2 Peak). Conclusion: Whilst several factors influence endurance kayak performance, in the context of novice talent identification it is concluded that a VO2 peak test that is relatively sport specific (Arm Crank), has applicability and utility.
Original languageEnglish
Pages (from-to)45-54
Number of pages10
JournalSouth African Journal for Research in Sport, Physical Education & Recreation
Volume24
Issue number2
StatePublished - 2002

Fingerprint

Hand Strength
Informed Consent
Sports

Cite this

Olivier, Steve; Coetsee, M. F. / Tests for predicting endurance kayak performance.

In: South African Journal for Research in Sport, Physical Education & Recreation, Vol. 24, No. 2, 2002, p. 45-54.

Research output: Contribution to journalArticle

@article{0a61e0393db84fb8bb647e5d43428569,
title = "Tests for predicting endurance kayak performance",
abstract = "Objectives: Previous studies investigating factors contributing to kayak performance have employed sophisticated physiological measures, and the use of specialised dynamometers, to simulate the kayak stroke. Such measures do not have general utility, and the aim of this study was to identify tests that could be performed in the field, in order to predict kayak performance. Methods: The following variables were measured on 23 competitive endurance kayakers, who provided written informed consent: Arm crank VO2 peak; 1 minute dips; armspan; modified sit-and-reach; grip strength; body mass; height. These were selected on the basis of their being identified as possibly contributing to performance, and on their applicability in terms of on-site testing. The dependent variable for analysis was a 7 km race, performed one week after the field tests. Results: Using multiple regression forward stepwise selection, relative VO2 peak (arm crank) was the only significant predictor (p = 0.006, r = -0.81), with dips (p = 0.153) and armspan (p = 0.133) being next in terms of hierarchical contribution. For race performance and VO2 peak 65.8 % of the variance in one measure was explained by the variance in the other. Utilising VO2 peak with race performance as the dependent variable, the following regression equation was generated: Time = 46.315 - 0.22 (VO2 Peak). Conclusion: Whilst several factors influence endurance kayak performance, in the context of novice talent identification it is concluded that a VO2 peak test that is relatively sport specific (Arm Crank), has applicability and utility.",
author = "Steve Olivier and Coetsee, {M. F.}",
year = "2002",
volume = "24",
pages = "45--54",
journal = "South African Journal for Research in Sport, Physical Education & Recreation",
issn = "0379-9069",
number = "2",

}

Tests for predicting endurance kayak performance. / Olivier, Steve; Coetsee, M. F.

In: South African Journal for Research in Sport, Physical Education & Recreation, Vol. 24, No. 2, 2002, p. 45-54.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Tests for predicting endurance kayak performance

AU - Olivier,Steve

AU - Coetsee,M. F.

PY - 2002

Y1 - 2002

N2 - Objectives: Previous studies investigating factors contributing to kayak performance have employed sophisticated physiological measures, and the use of specialised dynamometers, to simulate the kayak stroke. Such measures do not have general utility, and the aim of this study was to identify tests that could be performed in the field, in order to predict kayak performance. Methods: The following variables were measured on 23 competitive endurance kayakers, who provided written informed consent: Arm crank VO2 peak; 1 minute dips; armspan; modified sit-and-reach; grip strength; body mass; height. These were selected on the basis of their being identified as possibly contributing to performance, and on their applicability in terms of on-site testing. The dependent variable for analysis was a 7 km race, performed one week after the field tests. Results: Using multiple regression forward stepwise selection, relative VO2 peak (arm crank) was the only significant predictor (p = 0.006, r = -0.81), with dips (p = 0.153) and armspan (p = 0.133) being next in terms of hierarchical contribution. For race performance and VO2 peak 65.8 % of the variance in one measure was explained by the variance in the other. Utilising VO2 peak with race performance as the dependent variable, the following regression equation was generated: Time = 46.315 - 0.22 (VO2 Peak). Conclusion: Whilst several factors influence endurance kayak performance, in the context of novice talent identification it is concluded that a VO2 peak test that is relatively sport specific (Arm Crank), has applicability and utility.

AB - Objectives: Previous studies investigating factors contributing to kayak performance have employed sophisticated physiological measures, and the use of specialised dynamometers, to simulate the kayak stroke. Such measures do not have general utility, and the aim of this study was to identify tests that could be performed in the field, in order to predict kayak performance. Methods: The following variables were measured on 23 competitive endurance kayakers, who provided written informed consent: Arm crank VO2 peak; 1 minute dips; armspan; modified sit-and-reach; grip strength; body mass; height. These were selected on the basis of their being identified as possibly contributing to performance, and on their applicability in terms of on-site testing. The dependent variable for analysis was a 7 km race, performed one week after the field tests. Results: Using multiple regression forward stepwise selection, relative VO2 peak (arm crank) was the only significant predictor (p = 0.006, r = -0.81), with dips (p = 0.153) and armspan (p = 0.133) being next in terms of hierarchical contribution. For race performance and VO2 peak 65.8 % of the variance in one measure was explained by the variance in the other. Utilising VO2 peak with race performance as the dependent variable, the following regression equation was generated: Time = 46.315 - 0.22 (VO2 Peak). Conclusion: Whilst several factors influence endurance kayak performance, in the context of novice talent identification it is concluded that a VO2 peak test that is relatively sport specific (Arm Crank), has applicability and utility.

M3 - Article

VL - 24

SP - 45

EP - 54

JO - South African Journal for Research in Sport, Physical Education & Recreation

T2 - South African Journal for Research in Sport, Physical Education & Recreation

JF - South African Journal for Research in Sport, Physical Education & Recreation

SN - 0379-9069

IS - 2

ER -