Abstract
Predictive equations to estimate resting metabolic rate (RMR) are often used in dietary counseling and by online apps to set energy intake goals for weight loss. It is critical to know whether such equations are appropriate for those susceptible to obesity. We measured RMR by indirect calorimetry after an overnight fast in 26 obesity susceptible (OSI) and 30 obesity resistant (ORI) individuals, identified using a simple 6-item screening tool. Predicted RMR was calculated using the FAO/WHO/UNU (Food and Agricultural Organisation/World Health Organisation/United Nations University), Oxford and Miflin-St Jeor equations. Absolute measured RMR did not differ significantly between OSI versus ORI (6339 vs. 5893 kJ·d−1, p = 0.313). All three prediction equations over-estimated RMR for both OSI and ORI when measured RMR was ≤5000 kJ·d−1. For measured RMR ≤7000 kJ·d−1 there was statistically significant evidence that the equations overestimate RMR to a greater extent for those classified as obesity susceptible with biases ranging between around 10% to nearly 30% depending on the equation. The use of prediction equations may overestimate RMR and energy requirements particularly in those who self-identify as being susceptible to obesity, which has implications for effective weight management.
Highlights
Why some individuals remain lean with relative ease (ORI) while others continuously struggle with their body weight, despite living in a similar environment (OSI), is an intriguing question.little research has focused on comparing such groups, despite belief that this might yield novel information valuable for developing potential strategies to aid those who continually struggle with their weight
Known as adaptive thermogenesis or metabolic adaptation, this adaptive response reduces energy expenditure to effectively oppose the maintenance of reduced body weight [15,16] and is likely to contribute to the high rate of weight regain in overweight/obese persons after weight loss [14]
The analysis revealed that twoanalysis participants werethat classified as low energy defined as results of the sensitivity revealed two participants werereporters classified(LER), as low energy was an obesity susceptible female and one was an obesity resistant female
Summary
Why some individuals remain lean with relative ease (ORI) while others continuously struggle with their body weight, despite living in a similar environment (OSI), is an intriguing question.little research has focused on comparing such groups, despite belief that this might yield novel information valuable for developing potential strategies to aid those who continually struggle with their weight. Known as adaptive thermogenesis or metabolic adaptation, this adaptive response reduces energy expenditure to effectively oppose the maintenance of reduced body weight [15,16] and is likely to contribute to the high rate of weight regain in overweight/obese persons after weight loss [14]. It appears the relationship between obesity and RMR is dynamic, responding to changes in body weight and is dependent on when and how data are presented [10,17]
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