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Med Sci Sports Exerc. 2019 Feb 13. doi: 10.1249/MSS.0000000000001925. [Epub ahead of print]

Predicting Energy Expenditure of an Acute Resistance Exercise.

Author information

1
Department of Health and Kinesiology, Texas A&M University, College Station, TX.
2
Department of Orthopedics and Sports Medicine, Houston Methodist Hospital, Houston, TX.

Abstract

Energy expenditure of resistance exercise (RE) is an important consideration for exercise prescription and weight management, yet prediction models are lacking.

PURPOSE:

To develop regression equations to predict energy expenditure (kcal) for RE involving each major muscle group using commonly measured demographic and exercise variables as predictors.

METHODS:

Fifty-two healthy, active subjects (27 men, 25 women, age 20-58 years, height 174.1 ± 10.5 cm, weight 188.7 ± 42.6 kg, VO2max 36.8 ± 9.2 ml/kg/min) were strength tested to estimate their 1-repetition max (1RM) one week prior to their experimental RE bout. The experimental RE bout consisted of a warm-up set followed by 2-3 sets (2-min turnover) of 8-12 reps at 60-70% of predicted 1 repetition max for leg press, chest press, leg curl, lat pull, leg extension, triceps push down, biceps curl. Kcals were estimated from VO2 measured continuously throughout the RE bout via an automated metabolic cart. Total exercise volume (TV) was calculated as sets*reps*weight lifted. Multiple Linear Regression (Stepwise Removal) was used to determine the best model (highest adjusted R) to predict the kcal consumption of the total workout and of the individual RE lifts.

RESULTS:

The derived regression equation for the net kcal consumption of a RE bout was: Total Net Kcal = 0.874(Height, cm) - 0.596(Age, years) - 1.016(Fat Mass, kg) + 1.638(Lean Mass, kg) + 2.461(TV x 10) - 110.742 (R = 0.773, SEE=28.5 kcal). Significant equations were also derived for individual lifts (R = 0.62 to 0.83).

CONCLUSIONS:

Net energy expenditure for a total RE bout and for individual resistance exercises can be reasonably estimated in adult men and women using commonly measured demographic and RE variables.

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