1. A comparison of resting energy prediction equations in young recreationally active women
- Author
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Joel Luedke, Jacob Kisiolek, Jonathan M. Oliver, K Schultz, Andrew R. Jagim, and Margaret T. Jones
- Subjects
education.field_of_study ,Nutrition and Dietetics ,business.industry ,Population ,Overweight ,Bioinformatics ,Weight loss interventions ,Poster Presentation ,Statistics ,Medicine ,Resting energy expenditure ,medicine.symptom ,business ,education ,Food Science - Abstract
Background The estimation of resting energy expenditure (REE) can be a valuable tool in developing programs for weight loss interventions and body composition management. REE prediction equations are a low-cost alternative to assess REE versus directly measuring REE, which typically requires expensive laboratory equipment. Though often used to estimate REE in active populations, the majority of REE equations have been developed in overweight or sedentary populations. This study sought to examine the accuracy of three commonly used REE estimation equations in a recreationally active population.
- Published
- 2015
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