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ROBERGS ROBERT A.; GORDON, TORYANNO; REYNOLDS, JEFF; WALKER, THOMAS B.
Journal of Strength and Conditioning Research: February 2007
ORIGINAL RESEARCH: PDF Only
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ABSTRACTDespite the popularity of resistance training (RT), an accurate method for quantifying its metabolic cost has yet to be developed. We applied indirect calorimetry during bench press (BP) and parallel squat (PS) exercises for 5 consecutive minutes at several steady state intensities for 23 (BP) and 20 (PS) previously trained men. Tests were conducted in random order of intensity and separated by 5 minutes. Resultant steady state JOURNAL/jscr/04.02/00124278-200702000-00023/ENTITY_OV0312/v/2017-07-20T235329Z/r/image-pngO2 data, along with the independent variables load and distance lifted, were used in multiple regression to predict the energy cost of RT at higher loads. The prediction equation for BP was Y = −0.132 + (0.031)(X1) + (0.01)(X2), R2 = 0.728 and Sxy = 0.16; PS can be predicted by Y‘ = −1.424 + (0.022)(X1) + (0.035)(X2), R2 = 0.656 and Sxy = 0.314; where Y’ is JOURNAL/jscr/04.02/00124278-200702000-00023/ENTITY_OV0312/v/2017-07-20T235329Z/r/image-pngO2,X1 is the load measured in kg and X2 is the distance in cm. Based on a respiratory exchange ratio (RER) of 1.0 and a caloric equivalent of 5.05 kcal·L−1, JOURNAL/jscr/04.02/00124278-200702000-00023/ENTITY_OV0312/v/2017-07-20T235329Z/r/image-pngO2 was converted to caloric expenditure (kcal·min−1). Using those equations to predict caloric cost, our resultant values were significantly larger than caloric costs of RT reported in previous investigations. Despite a potential limitation of our equations to maintain accuracy during very high-intensity RT, we propose that they currently represent the most accurate method for predicting the caloric cost of bench press and parallel squat.

Despite the popularity of resistance training (RT), an accurate method for quantifying its metabolic cost has yet to be developed. We applied indirect calorimetry during bench press (BP) and parallel squat (PS) exercises for 5 consecutive minutes at several steady state intensities for 23 (BP) and 20 (PS) previously trained men. Tests were conducted in random order of intensity and separated by 5 minutes. Resultant steady state JOURNAL/jscr/04.02/00124278-200702000-00023/ENTITY_OV0312/v/2017-07-20T235329Z/r/image-pngO2 data, along with the independent variables load and distance lifted, were used in multiple regression to predict the energy cost of RT at higher loads. The prediction equation for BP was Y = −0.132 + (0.031)(X1) + (0.01)(X2), R2 = 0.728 and Sxy = 0.16; PS can be predicted by Y‘ = −1.424 + (0.022)(X1) + (0.035)(X2), R2 = 0.656 and Sxy = 0.314; where Y’ is JOURNAL/jscr/04.02/00124278-200702000-00023/ENTITY_OV0312/v/2017-07-20T235329Z/r/image-pngO2,X1 is the load measured in kg and X2 is the distance in cm. Based on a respiratory exchange ratio (RER) of 1.0 and a caloric equivalent of 5.05 kcal·L−1, JOURNAL/jscr/04.02/00124278-200702000-00023/ENTITY_OV0312/v/2017-07-20T235329Z/r/image-pngO2 was converted to caloric expenditure (kcal·min−1). Using those equations to predict caloric cost, our resultant values were significantly larger than caloric costs of RT reported in previous investigations. Despite a potential limitation of our equations to maintain accuracy during very high-intensity RT, we propose that they currently represent the most accurate method for predicting the caloric cost of bench press and parallel squat.

Address correspondence to Dr. Robert Robergs, rrobergs@unm.edu

© 2007 National Strength and Conditioning Association