Modulators of Energy Expenditure Accuracy in Adults with Overweight or Obesity: E-MECHANIC Secondary Analyses

Authors

• Rachel Matthews, Louisiana State University School of Kinesiology, Baton Rouge, LA
• Christoph Höchsmann, Technical University of Munich School of Medicine and Health, Munich, GERMANY
• Melissa L. Erickson, AdventHealth, Orlando, FL
• James L. Dorling, University of Glasgow College of Medical, Veterinary and Life Sciences, Glasgow, United Kingdom
• Guillaume Spielmann, Louisiana State University School of Kinesiology, Baton Rouge, LA
• Neil M. Johannsen, Louisiana State University School of Kinesiology, Baton Rouge, LA
• Timothy S. Church, Pennington Biomedical Research Center, Baton Rouge, LA
• Corby K. Martin, Pennington Biomedical Research Center, Baton Rouge, LA

Document Type

Article

Publication Date

10-5-2024

Publication Title

Medicine & Science in Sports & Exercise

Abstract

Purpose: American College of Sports Medicine (ACSM) metabolic equations are used to estimate energy expenditure (EE) of physical activity and prescribe aerobic exercise to meet EE requirements. Limited evidence supports their accuracy in sedentary adults with overweight or obesity during controlled exercise interventions. The purpose of this study was to compare EE estimated by the ACSM walking equation versus EE measured by indirect calorimetry during a 24-wk aerobic exercise intervention, and identify potential modulators for their accuracy. Methods: Data from the exercising groups (8 or 20 kcal·kg body weight -1 ·wk -1 ) of the E-MECHANIC study were utilized in this ancillary analysis ( N = 103). Every 2 wk for the initial 8 wk and monthly thereafter, EE was measured via indirect calorimetry during absolute (2 mph, 0% grade) and relative (65%-85% peak oxygen uptake (V̇O 2peak )) workload exercise. Resting metabolic rate, V̇O 2peak , and body composition were assessed at baseline and follow-up. An EE offset factor (EOF) was calculated to express measured EE as a percentage of the estimated EE at each workload (EOF < 100% represents an overestimation of ACSM estimated EE). Results: The accuracy of the equation decreased with increasing exercise workload (0.44%, 9.2%, and 20.3% overestimation at absolute, relative, and maximal workloads, respectively, at baseline) and overestimation of EE was greater after the exercise intervention. Furthermore, race, sex, age, fat mass, and V̇O 2peak were identified as modulators for equation accuracy. Greater overestimation of EE was observed in Black compared with White females, particularly at lower exercise workloads. Conclusions: These findings support future efforts to improve the accuracy of metabolic equations, especially in diverse populations. Researchers should account for exercise efficiency adaptations when using metabolic equations to prescribe exercise precisely.

First Page

470

Last Page

480

DOI

10.1249/MSS.0000000000003583

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Recommended Citation

Matthews, Rachel; Höchsmann, Christoph; Erickson, Melissa L.; Dorling, James L.; Spielmann, Guillaume; Johannsen, Neil M.; Church, Timothy S.; and Martin, Corby K., "Modulators of Energy Expenditure Accuracy in Adults with Overweight or Obesity: E-MECHANIC Secondary Analyses" (2024). LSU-LCMC Cancer Center Faculty Publications. 226.
https://digitalscholar.lsuhsc.edu/llcc_facpubs/226
10.1249/MSS.0000000000003583