scholarly journals Limits of agreement among maximal oxygen uptake, shuttle run test,and Cooper’s 12-minute run

Author(s):  
유영란
1988 ◽  
Vol 22 (4) ◽  
pp. 141-144 ◽  
Author(s):  
R Ramsbottom ◽  
J Brewer ◽  
C Williams

2011 ◽  
Vol 28 (2) ◽  
pp. 146-156 ◽  
Author(s):  
Stamatis Agiovlasitis ◽  
Kenneth H. Pitetti ◽  
Myriam Guerra ◽  
Bo Fernhall

This study examined whether 20-m shuttle-run performance, sex, body mass index (BMI), age, height, and weight are associated with peak oxygen uptake (VO2peak) in youth with Down syndrome (DS; n = 53; 25 women, age 8–20 years) and whether these variables can be used to develop an equation to predict VO2peak. BMI, 20-m shuttle-run performance, and sex were significantly associated with VO2peak in youth with DS, whereas age, height, and weight were not. A regression model included only shuttle-run performance as a significant predictor of VO2peak; however, the developed prediction equation had low individual predictability. Therefore, 20-m shuttle-run performance alone does not provide valid prediction of VO2peak in youth with DS. Sex, BMI, age, height, and weight do not improve the prediction of VO2peak.


1998 ◽  
Vol 16 (4) ◽  
pp. 331-335 ◽  
Author(s):  
A. St Clair Gibson ◽  
S. Broomhead ◽  
M.I. Lambert ◽  
J.A. Hawley

2014 ◽  
Vol 41 (1) ◽  
pp. 81-87 ◽  
Author(s):  
Giorgos P. Paradisis ◽  
Elias Zacharogiannis ◽  
Dafni Mandila ◽  
Athanasia Smirtiotou ◽  
Polyxeni Argeitaki ◽  
...  

AbstractThe multi-stage 20-m shuttle run fitness test (20mMSFT) is a popular field test which is widely used to measure aerobic fitness by predicting maximum oxygen uptake (VO2 max) and performance. However, the velocity at which VO 2 max occurs (vVO 2 max) is a better indicator of performance than VO 2 max, and can be used to explain inter-individual differences in performance that VO 2 max cannot. It has been reported as a better predictor for running performance and it can be used to monitor athletes’ training for predicting optimal training intensity. This study investigated the validity and suitability of predicting VO2max and vVO2max of adult subjects on the basis of the performance of the 20mMST. Forty eight (25 male and 23 female) physical education students performed, in random order, a laboratory based continuous horizontal treadmill test to determine VO2max, vVO 2 max and a 20mMST, with an interval of 3 days between each test. The results revealed significant correlations between the number of shuttles in the 20mMSFT and directly determined VO 2 max (r = 0.87, p<0.05) and vVO 2 max (r = 0.93, p<0.05). The equation for prediction of VO 2 max was y = 0.0276x + 27.504, whereas for vVO 2 max it was y = 0.0937x + 6.890. It can be concluded that the 20mMSFT can accurately predict VO 2 max and vVO 2 max and this field test can provide useful information regarding aerobic fitness of adults. The predicted vVO 2 max can be used in monitoring athletes, especially in determining optimal training intensity.


2015 ◽  
Vol 10 (6) ◽  
pp. 802-807 ◽  
Author(s):  
Nicola Furlan ◽  
Mark Waldron ◽  
Kathleen Shorter ◽  
Tim J. Gabbett ◽  
John Mitchell ◽  
...  

Purpose: To investigate temporal variation in running intensity across and within halves and evaluate the agreement between match-analysis indices used to identify fluctuations in running intensity in rugby sevens. Methods: Data from a 15-Hz global positioning system (GPS) were collected from 12 elite rugby sevens players during the IRB World Sevens Series (N = 21 full games). Kinematic (eg, relative distance [RD]) and energetic (eg, metabolic power [MP]) match-analysis indices were determined from velocity–time curves and used to investigate between-halves variations. Mean MP and RD were used to identify peak 2-minute periods of play. Adjacent 2-minute periods (prepeak and postpeak) were compared with peak periods to identify changes in intensity. MP and RD were expressed relative to maximal oxygen uptake (V̇O2max) and speed at V̇O2max, respectively, and compared in their ability to describe the intensity of peak periods and their temporal occurrence. Results: Small to moderate reductions were present for kinematic (RD; 8.9%) and energetic (MP; 6%) indices between halves. Peak periods (RD = 130 m/min, MP =13 W/kg) were higher (P < .001) than the match average (RD = 94 m/min, MP = 9.5 W/kg) and the prepeak and postpeak periods (P < .001). RD underestimated the intensity of peak periods compared with MP (bias 16%, limits of agreement [LoA] ± 6%). Peak periods identified by RD and MP were temporally dissociated (bias 21 s, LoA ± 212 s). Conclusions: The findings suggest that running intensity varies between and within halves; however, the index used will influence both the magnitude and the temporal identification of peak periods.


2020 ◽  
Vol 38 (22) ◽  
pp. 2588-2596
Author(s):  
Francisco José de Menezes-Junior ◽  
Íncare Correa de Jesus ◽  
Jorge Mota ◽  
Maria de Fatima Aguiar Lopes ◽  
Patricia Ribeiro Paes Corazza ◽  
...  

1997 ◽  
Vol 29 (Supplement) ◽  
pp. 154
Author(s):  
A. St Clair Gibson ◽  
S. Broomhead ◽  
M. I. Lambert ◽  
J. A. Hawley

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