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Obesity is associated with functional limitations in muscle performance. The true effect of obesity on skeletal muscle mass, including any interactions with aging effects, remains to be elucidated. The present study investigated the impact of obesity on the stimulation of muscle growth, based on a new model of body composition. A dataset of 44 men and 64 women was analysed. Body weight (Wt), body height (Ht), hand circumference (HdC) and waist circumference (WC) were measured. Processed by the Dahlmann-Body-Analysis (DBA) system, a new model of body composition, the increase of skeletal muscle mass (ΔSMM) compared to the individual reference weight was calculated. Muscle mass data derived by the DBA model are compared with DXA-derived predictive equations of studies representing different countries and ethnicities estimating the appendicular skeletal muscle mass. Means of these groups are tested by ANOVA. Age ranged from 18 to 72 years. All subjects had a BMI ≥ 29.7 (kg/m²). The mean values of ΔSMM as an estimate of muscle mass gain calculated by the DBA-system were 11.8 ±3.6 kg for men and 8.9 ±2.6 kg for women, respectively, demonstrating a linear, significantly rising relationship with BMI (ß > 0, p<0.001). The study population did not show a decrease in muscle mass with age in either men or women up to an age of 65 years. The results suggest that the present model has satisfactory prediction qualities to detect an increase in skeletal muscle mass associated with a growing burden of body fat.
Objective This report aimed to compare the total daily energy expenditure (TDEE) of adolescents measured by doubly labeled water (DLW) with the 2005 and 2023 dietary reference intake (DRI) equations proposed by the Institute of Medicine (IOM) in a sample of Brazilian adolescents. Methodology: This is a cross-sectional and observational study with a convenience sample of 15 obese and eutrophic adolescents, aged between 11 and 14 years, from public schools and the obesity outpatient clinic of the Clinics Hospital of the Ribeirão Preto Medical School – University of São Paulo (HC FMRP-USP) in Brazil. Were obtained stature and weight by conventional methods and used to calculate the body mass index (BMI) to determine the nutritional status. Fat-free mass (FFM) was measured using dual-energy X-ray absorptiometry. Energy expenditure was determined by DLW and estimated by the 2005 and 2023 DRI equations. The level of physical activity was measured with the ActivPAL™ accelerometer to classify adolescents within the equations. Results: Forty-seven percent of the sample were eutrophic and 53% were obese. The adolescents were classified as somewhat active according to the average number of daily steps. The DLW-derived TDEE and the TDEE derived from the 2005 and the 2023 predictive equations are presented as means, standard deviations, and 95% confidence intervals (CI). The 2005 and 2023 DRI equations produced significantly higher values than the DLW-determined TDEE (56.2% and 57.2%, respectively). Conclusion: Additional studies with Brazilian adolescents should be conducted to propose more accurate and specific predictive TDEE equations.