Energy expenditure estimation of a moderate-intensity strength training session

Abstract

An accurate method for quantifying associated metabolic cost has yet to be developed for a strength training session (ST). The aim of this study was to quantify the energy expenditure (EE) in an ST session composed of eight exercises at moderate intensity using indirect calorimetry and, from the values obtained, develop a prediction equation for estimating EE. Fifteen males (22.9 ± 2.61 years old), with at least 12 months of experience in ST performed one session of strength training composed of 8 exercises. Three sets of repetitions were performed until concentric failure for each exercise at 75% of 1-repetition maximum (75% of 1RM). The model demonstrated that session time and load volume of ST was a significant predictor of EE (p < 0.05). We found that the energy cost of an ST session at an intensity of 75% of 1RM could be predicted using the equation of Y' = −473.595 + −1.2110(X 1) + 17.5723(X 2) (R 2 = 0.61, p < 0.05). Where X 1 = load-volume (no. of sets x no. of repetitions); X 2 = session time (minutes). Although our equation may have limited accuracy, our regression formula accounted for 61% of the variability in a strength training session at a moderate intensity of 75% of 1RM. Session time in the total variability of EE in ST was an important consideration.

Modeling of Metabolic Equivalents (METs) during Moderate Resistance Training Exercises

“…Most of the available literature found regression models to predict EE using body composition (p < 0.001), ambient temperature (p = 0.004) [10], and exercise intensity-loads and volume (R 2 = 0.61 and p < 0.05) [9] etc. A study by Farinatti and Neto reported that total energy expenditure (EE) is mainly affected by muscle mass (p > 0.001) during five sets of ten repetitions with 15 RM loads of moderate-intensity horizontal leg press and chest fly with 1 and 3 min rest intervals [21].…”

“…of sets x no. of repetitions) and X 2 = session time (minutes) [9]. Another study predicted resting energy expenditure (REE) equations in master athletes using body weight, gender, age, height, fat-free mass (FFM), fat mass (FM), temperature, training hours, phase angle, and kind of sports (R 2 = 0.55-0.69).…”