Modulators of Energy Expenditure Accuracy in Adults with Overweight or Obesity: E-MECHANIC Secondary Analyses
Year: 2024
Type: article
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.
Language: English
Subfield: Complementary and alternative medicine
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Funders: American Heart Association, Louisiana Clinical and Translational Science Center, National Institutes of Health, Nutrition Obesity Research Center, University of North Carolina, National Heart, Lung, and Blood Institute, National Institute of General Medical Sciences, National Institute of Diabetes and Digestive and Kidney Diseases
Awards: Examination of mechanisms (E-MECHANIC) of exercise-induced weight compensation, G1330302077, G1863416421, G1937633654, G217199745, The role of anxiety, depression and eating behaviors on weight loss in an underserved cohort: a mediation analysis, G305254594, G3334739079, G3667826151, Pennington/Louisiana NORC - Supplement NOT-OD-21-089, G5850863802, Louisiana Clinical and Translational Science Center, G7096375459, G799249705, G8477750575, G9000054552, G9000092754, G9000133560, G9000311072
OpenAlex ID: W4403377268