Accuracy of prediction equations to estimate submaximal VO2 during cycle ergometry:: the HERITAGE Family Study

被引:12
|
作者
Stanforth, PR
Ruthven, MD
Gagnon, J
Bouchard, C
Leon, AS
Rao, DC
Skinner, JS
Wilmore, JH
机构
[1] Texas A&M Univ, Dept Hlth & Kinesiol, College Stn, TX 77843 USA
[2] Indiana Univ, Bloomington, IN USA
[3] Washington Univ, St Louis, MO USA
[4] Univ Minnesota, Minneapolis, MN USA
[5] Univ Laval, Quebec, ON, Canada
[6] Univ Texas, Austin, TX 78712 USA
来源
关键词
oxygen uptake; energy expenditure (EE); estimating VO2;
D O I
10.1097/00005768-199901000-00028
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
It was hypothesized that more accurate equations for estimating submaximal (V) over dot O-2 during cycle ergometry could be developed if more independent variables were used in the equation. Purpose: The purposes of this study were: (1) to develop new equations for estimating submaximal (V) over dot O-2 during cycle ergometry; and (2) to examine the accuracy of the newly developed equations and those of the American College of Sports Medicine (1995), Berry et al. (1993), Lang et al. (1992), Latin and Berg (1994), and Londeree et al. (1997). Methods: Subjects (715 men and women, ages 16-65 yr, from the HERITAGE Family Study) completed a maximal cycle ergometry test, two submaximal trials at 50 W and 60% of (V) over dot O-2max, hydrostatic weighing, and stature and body mass measures before and after 20 wk of cycle ergometry training. Regression analysis generated prediction equations using pretraining data from the 60% trials. Results: No equation with more independent variables was better than an equation that used only power output. This equation, HERITAGE-1, with only power output was cross-validated using the "jackknife" technique. Paired t-tests, mean differences, SEEs, and Es were used to compare the (V) over dot O-2, estimated by HERITAGE-I and those of previously published equations with the measured (V) over dot O-2 at 60% of (V) over dot O-2max. Conclusions: HERITAGE-I was slightly better than the equations of ACSM, Lang et al., and Latin and Berg using pretraining data but was not better when using post-training data. All four of these equations were superior to the equations of Berry et al. and Londeree et al.
引用
收藏
页码:183 / 188
页数:6
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