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Oxygen uptake measurements are without question useful and a staple measurement for the estimation of exercise energy costs. However, steady state models cannot be used to successfully model intermittent resistance exercise energy costs. Our laboratory has taken steps to avoid such comparisons between these discrepant exercises. We have separated out exercise and recovery periods during resistance training and utilize capacity (kJ) estimates as opposed to rate measures (kJ min–1). Moreover, we avoid anaerobic threshold concepts as applied to resistance exercise. When viewed accordingly, resistance exercise energy costs are opposite those of the steady state model: exercise oxygen uptake is highest for steady state exercise and lowest for resistance exercise, recovery oxygen uptake can be the highest energy cost for resistance exercise whereas for steady state exercise it may or may not be meaningful, and anaerobic energy costs represent a significant component of resistance exercise that plays little to no role with steady state exercise.
We utilized a non-steady state method (kJ per set, not kJ min–1) to estimate the total energy costs (aerobic and anaerobic, exercise and recovery) of five different resistance exercises: incline bench press, squat, deadlift, shoulder shrug and calf raise. Using a Smith machine, work was precisely measured as the product of the vertical distance the lifting bar traveled and the amount of weight lifted. The average of two lifts performed on separate days was completed by 16 women (165 cm; 61.1 kg; 21.8 years) and 22 men (180.5 cm; 83 kg; 23.7 years). Overall 40 data points (the averages of 80 lifts) were plotted and correlations completed within each exercise for work and total energy costs: deadlift r = 0.997, squat r = 0.977, incline press r = 0.947, shoulder shrug r = 0.921 and calf raise r = 0.941 (p < 0.05). The amount of oxygen consumed during exercise for each lift represented the lowest energy cost contribution (18%), followed by anaerobic (31%) and excess post-exercise oxygen consumption (EPOC, 51%) (p < 0.05). The identification of work (J) along with an estimate of the total energy costs (kJ) revealed remarkably consistent relationships within any given resistance exercise, leading to a predictable increase in the cost of lifting for each exercise. However, due to the muscle/joint and movement characteristics of each exercise, the work to cost relationship differed for all lifts.
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