Body composition and energy intake - skeletal muscle mass is the strongest predictor of food intake in obese adolescents: The HEARTY trial.
There has been renewed interest in examining the relationship between specific components of energy expenditure and the overall influence on energy intake (EI). The purpose of this cross-sectional analysis was to determine the strongest metabolic and anthropometric predictors of EI. It was hypothesized that resting metabolic rate (RMR) and skeletal muscle mass would be the strongest predictors of EI in a sample of overweight and obese adolescents. 304 post-pubertal adolescents (91 boys, 213 girls) aged 16.1 (±1.4) years with body mass index at or above the 95th percentile for age and sex OR at or above the 85th percentile plus an additional diabetes risk factor were measured for body weight, RMR (kcal/day) by indirect calorimetry, body composition by magnetic resonance imaging (fat free mass (FFM), skeletal muscle mass, fat mass (FM), and percentage body fat), and EI (kcal/day) using 3 day food records. Body weight, RMR, FFM, skeletal muscle mass, and FM were all significantly correlated with EI (p < 0.005). After adjusting the model for age, sex, height, and physical activity, only FFM (β = 21.9, p = 0.007) and skeletal muscle mass (β = 25.8, p = 0.02) remained as significant predictors of EI. FFM and skeletal muscle mass also predicted dietary protein and fat intake (p < 0.05), but not carbohydrate intake. In conclusion, with skeletal muscle mass being the best predictor of EI, our results support the hypothesis that the magnitude of the body's lean tissue is related to absolute levels of EI in a sample of inactive adolescents with obesity.
a Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON, Canada.|b University of Ottawa, Ottawa, ON, Canada.
Jameason D
JD
Cameron
b University of Ottawa, Ottawa, ON, Canada.|c University of Calgary, Calgary, AB, Canada.|d Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada.
Ronald J
RJ
Sigal
b University of Ottawa, Ottawa, ON, Canada.|d Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada.
Glen P
GP
Kenny
c University of Calgary, Calgary, AB, Canada.
Angela S
AS
Alberga
b University of Ottawa, Ottawa, ON, Canada.|e Institut de recherche de l'Hôpital Montfort, Ottawa, ON, Canada.
Denis
D
Prud'homme
d Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada.
Penny
P
Phillips
f Dalhousie University, Halifax, NS, Canada.
Steve
S
Doucette
a Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON, Canada.|b University of Ottawa, Ottawa, ON, Canada.|g Healthy Active Living & Obesity (HALO) Research Group, CHEO Research Institute, 401 Smyth Rd., Ottawa, ON K1H 8L1, Canada.
Gary
G
Goldfield
D000273:Adipose Tissue / Q000502:physiology; D000293:Adolescent; D001823:Body Composition; D001835:Body Weight; D002153:Calorimetry, Indirect; D003430:Cross-Sectional Studies; D004040:Dietary Carbohydrates / Q000008:administration & dosage; D004041:Dietary Fats / Q000008:administration & dosage; D004044:Dietary Proteins / Q000008:administration & dosage; D002149:Energy Intake; D004734:Energy Metabolism; D015444:Exercise; D005260:Female; D006801:Humans; D016014:Linear Models; D008297:Male; D018482:Muscle, Skeletal / Q000502:physiology*; D009765:Obesity / Q000175:diagnosis*; D050177:Overweight / Q000175:diagnosis
D004040:Dietary Carbohydrates; D004041:Dietary Fats; D004044:Dietary Proteins
adolescent obesity; apport énergétique; body composition; composition corporelle; energy intake; fat free mass; imagerie par résonance magnétique; magnetic resonance imaging; masse maigre; obésité adolescente