McNeil J, et al. - This paper encompassed a scrutiny of the correlations between body mass index (in kg/m²), fat mass, fat-free mass, and resting metabolic rate (RMR) with acute (1 meal) and daily (24-h) energy intake (EI) and between fasting appetite ratings and certain eating behavior traits with daily EI. This research also ascertained if RMR was a predictor of the error variance in acute and daily EI. The combination of measurements of appetite ratings and RMR could aid in calculating EI in weight-stable subjects. Nonetheless, there existed greater error variance in acute and daily EI with increasing RMR values. In order to determine the occurrence of greater fluctuations in daily EI over time, with increasing RMR values, advanced research was warranted.

Methods

• Data cumulated from 7 studies in Ottawa, Ontario, Canada, were included in these analyses (n = 191 and 55 for acute and daily EI, respectively).
• It comprised of RMR (indirect calorimetry), body composition (dual-energy X-ray absorptiometry), fasting appetite ratings (visual analog scales), eating behavior traits (Three-Factor Eating Questionnaire), and EI (food buffet or menu).

Results

• It was noted that fat-free mass was the best predictor of acute EI (R² = 0.46; P < 0.0001).
• The combination of fasting prospective food consumption ratings and RMR served as the best predictor of daily EI (R² = 0.44; P < 0.0001).
• RMR displayed as a statistically notable positive predictor of the error variance for acute (R² = 0.20; P < 0.0001) and daily (R² = 0.23; P < 0.0001) EI.
• RMR persisted as a statistically prominent predictor of acute (R² = 0.32; P < 0.0001) and daily (R² = 0.30; P < 0.0001) EI after controlling for this error variance.