Body composition and energy intake - Skeletal muscle mass is the strongest predictor of food intake in obese adolescents: The HEARTY trial

Jameason D. Cameron; Ronald J. Sigal; Glen P. Kenny; Angela S. Alberga; Denis Prud’homme; Penny Phillips; Steve Doucette; Gary Goldfield

doi:10.1139/apnm-2015-0479

Body composition and energy intake - Skeletal muscle mass is the strongest predictor of food intake in obese adolescents: The HEARTY trial

Jameason D. Cameron, Ronald J. Sigal, Glen P. Kenny, Angela S. Alberga, Denis Prud’homme, Penny Phillips, Steve Doucette, Gary Goldfield

Medicine

Résultat de recherche: Article › examen par les pairs

64 Citations (Scopus)

Résumé

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.

Langue d'origine	English
Pages (de-à)	611-617
Nombre de pages	7
Journal	Applied Physiology, Nutrition and Metabolism
Volume	41
Numéro de publication	6
DOI	https://doi.org/10.1139/apnm-2015-0479
Statut de publication	Published - févr. 18 2016

Note bibliographique

Funding Information:
The HEARTY trial was supported by a grant from the Canadian Institutes of Health Research (grant MCT-71979). R.J. Sigal is supported by a Health Senior Scholar award from Alberta Innovates- Health Solutions, and was supported by a Research Chair from the Ottawa Hospital Research Institute during part of this trial. A.S. Alberga was supported by a Doctoral Student Research Award from the Canadian Diabetes Association and an Eyes High Postdoctoral Fellowship from the University of Calgary. G. Kenny was supported by a University Research Chair. G. Goldfield was supported by a New Investigator Award from the Canadian Institutes of Health Research for part of the trial, and subsequently by an Endowed Research Scholarship from the Children’s Hospital of Eastern Ontario Volunteer Association Board. Colleen Gilchrist and Pascale Messier were the main dietitians for the trial. Tina Leech and Marie-Josée Cyr were also dietitians who worked with participants. Kelley Phillips analyzed all of the 3 day food logs.

Publisher Copyright:
© 2016, National Research Council of Canada. All rights reserved.

ASJC Scopus Subject Areas

Endocrinology, Diabetes and Metabolism
Physiology
Nutrition and Dietetics
Physiology (medical)

PubMed: MeSH publication types

Journal Article

ODD de l’ONU

Cette action contribue à la réalisation des objectifs de développement durable suivants

Accès au document

10.1139/apnm-2015-0479

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Cameron, J. D., Sigal, R. J., Kenny, G. P., Alberga, A. S., Prud’homme, D., Phillips, P., Doucette, S., & Goldfield, G. (2016). Body composition and energy intake - Skeletal muscle mass is the strongest predictor of food intake in obese adolescents: The HEARTY trial. Applied Physiology, Nutrition and Metabolism, 41(6), 611-617. https://doi.org/10.1139/apnm-2015-0479

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abstract = "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{\textquoteright}s lean tissue is related to absolute levels of EI in a sample of inactive adolescents with obesity.",

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note = "Funding Information: The HEARTY trial was supported by a grant from the Canadian Institutes of Health Research (grant MCT-71979). R.J. Sigal is supported by a Health Senior Scholar award from Alberta Innovates- Health Solutions, and was supported by a Research Chair from the Ottawa Hospital Research Institute during part of this trial. A.S. Alberga was supported by a Doctoral Student Research Award from the Canadian Diabetes Association and an Eyes High Postdoctoral Fellowship from the University of Calgary. G. Kenny was supported by a University Research Chair. G. Goldfield was supported by a New Investigator Award from the Canadian Institutes of Health Research for part of the trial, and subsequently by an Endowed Research Scholarship from the Children{\textquoteright}s Hospital of Eastern Ontario Volunteer Association Board. Colleen Gilchrist and Pascale Messier were the main dietitians for the trial. Tina Leech and Marie-Jos{\'e}e Cyr were also dietitians who worked with participants. Kelley Phillips analyzed all of the 3 day food logs. Publisher Copyright: {\textcopyright} 2016, National Research Council of Canada. All rights reserved.",

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Body composition and energy intake - Skeletal muscle mass is the strongest predictor of food intake in obese adolescents: The HEARTY trial

Résumé

Note bibliographique

ASJC Scopus Subject Areas

PubMed: MeSH publication types

ODD de l’ONU

Accès au document

Autres fichiers et liens

Empreinte numérique

Citer