Weight Loss Composition and Metabolic Adaptation During Hypocaloric Dieting

Weight loss achieved through caloric restriction is consistently associated with reductions in resting metabolic rate (RMR). In many individuals, the decrease in energy expenditure exceeds what would be predicted from the loss of body mass or body composition alone, a phenomenon commonly described as metabolic adaptation or adaptive thermogenesis. This response has been proposed as one potential contributor to the difficulty many individuals experience in maintaining weight loss over time. Fat-free mass is the primary determinant of resting energy expenditure because it includes metabolically active tissues such as skeletal muscle and organs. Consequently, the relative proportion of fat mass and fat-free mass lost during weight reduction may influence the magnitude of RMR decline. Dietary strategies that promote preservation of fat-free mass, such as adequate protein intake and engagement in physical activity, may attenuate metabolic slowing during weight loss. However, substantial inter-individual variability in metabolic responses to weight loss has been reported, and the role of weight-loss composition in shaping these responses remains incompletely understood. The present study aims to examine the relationship between changes in body composition and changes in resting metabolic rate during a structured hypocaloric dietary intervention in adults with overweight or obesity. Participants will follow individualized dietary plans designed to produce a moderate energy deficit. Body composition will be assessed using dual-energy X-ray absorptiometry (DXA), and resting metabolic rate will be measured using indirect calorimetry at baseline and following completion of the intervention. Anthropometric measures and physical activity patterns will also be recorded. By evaluating the relative contributions of fat mass loss and fat-free mass loss to changes in energy expenditure, this study aims to improve understanding of the physiological responses to weight reduction. The findings may help inform weight-loss strategies designed to minimize unfavorable metabolic adaptations and support more sustainable long-term weight management.