PREDICTION OF VO2 PEAK USING OMNI RATINGS OF PERCEIVED EXERTION FROM A SUBMAXIMAL CYCLE EXERCISE TEST

被引:2
作者
Mays, Ryan J. [1 ,2 ]
Goss, Fredric L. [3 ]
Nagle, Elizabeth F. [3 ]
Gallagher, Michael [4 ]
Schafer, Mark A. [5 ]
Kim, Kevin H. [3 ]
Robertson, Robert J. [3 ]
机构
[1] Univ Montana, Int Heart Inst Montana Fdn, Missoula, MT 59812 USA
[2] Univ Colorado, Sch Med, Boulder, CO 80309 USA
[3] Univ Pittsburgh, Pittsburgh, PA 15260 USA
[4] Univ Cent Arkansas, Conway, AR USA
[5] Western Kentucky Univ, Bowling Green, KY USA
关键词
MAXIMAL OXYGEN-UPTAKE; GRADED-EXERCISE; HEART-RATE; SEDENTARY PARTICIPANTS; CONCURRENT VALIDATION; RESISTANCE EXERCISE; ARM EXERCISE; SCALE; VALIDITY; INDIVIDUALS;
D O I
10.2466/27.29.PMS.118k28w7
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
The primary aim of this study was to develop statistical models to predict peak oxygen consumption (VO2 peak) using OMNI Ratings of Perceived Exertion measured during submaximal cycle ergometry. Male (M = 20.9 yr., SE = 0.4) and female (M = 21.6 yr., SE = 0.5) participants (N = 81) completed a load-incremented maximal cycle ergometer exercise test. Simultaneous multiple linear regression was used to develop separate VO2 peak statistical models using submaximal ratings of perceived exertion for the overall body, legs, and chest/breathing as predictor variables. VO2 peak (L min(-1)) predicted for men and women from ratings of perceived exertion for the overall body (3.02 +/- 0.06; 2.03 +/- 0.04), legs (3.02 +/- 0.06; 2.04 +/- 0.04), and chest/breathing (3.02 +/- 0.05; 2.03 +/- 0.03) were similar to measured VO2 peak (3.02 +/- 0.10; 2.03 +/- 0.06, ps >.05). Statistical models based on submaximal OMNI Ratings of Perceived Exertion provide an easily administered and accurate method to predict VO2 peak.
引用
收藏
页码:863 / 881
页数:19
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