Hostname: page-component-77c89778f8-sh8wx Total loading time: 0 Render date: 2024-07-24T08:09:01.283Z Has data issue: false hasContentIssue false
  • English
  • Français

Daily energy expenditure and its main components as measured by whole-body indirect calorimetry in athletic and non-athletic adolescents

Published online by Cambridge University Press:  09 March 2007

Jérôme Ribeyre ,
Nicole Fellmann ,
Christophe Montaurier ,
Michel Delaître ,
Jean Vernet ,
Jean Coudert  and
Michel Vermorel
Jérôme Ribeyre
Affiliation:
Laboratoire de Physiologie et Biologie du Sport, Faculté de Médecine, 63000 Clermont-Ferrand, France
Nicole Fellmann
Affiliation:
Laboratoire de Physiologie et Biologie du Sport, Faculté de Médecine, 63000 Clermont-Ferrand, France
Christophe Montaurier
Affiliation:
Laboratoire de Nutrition Humaine, 63009 Clermont-Ferrand cedex, France
Michel Delaître
Affiliation:
Laboratoire de Physiologie et Biologie du Sport, Faculté de Médecine, 63000 Clermont-Ferrand, France
Jean Vernet
Affiliation:
INRA, Unité Métabolismes Energétique et Lipidique, 63122 Saint Genès Champanelle, France
Jean Coudert
Affiliation:
Laboratoire de Physiologie et Biologie du Sport, Faculté de Médecine, 63000 Clermont-Ferrand, France
Michel Vermorel*
Affiliation:
INRA, Unité Métabolismes Energétique et Lipidique, 63122 Saint Genès Champanelle, France
*
*Corresponding author: Dr Michel Vermorel, fax +33 (0)4 73 62 46 39, email vermorel@clermont.inra.fr
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

The objectives of the present study were to determine whether differences in usual physical activity affect BMR, sleeping energy expenditure (EE), and EE during seated activities between athletic and non-athletic adolescents, and to establish individual relationships between heart rate and EE. Adolescents (n 49, four groups of eleven to fifteen boys or girls aged 16–19 years) participated in the study. Body composition was measured by the skinfold-thickness method and maximum O2 consumption (VO2max) by a direct method (respiratory gas exchange) on a cycloergometer. The subjects each spent 36 h in one of two large whole-body calorimeters. They followed a standardized activity programme including two periods of exercise simulating their mean weekly physical activities. Fat-free mass (FFM), VO2max, daily EE and EE during sleep and seated activities were significantly higher in athletic than in non-athletic subjects of both sexes. VO2max, daily EE and EE during exercise adjusted for FFM were higher in athletic than in non-athletic adolescents (P < 0·001), whereas sleeping EE, BMR and EE during seated activities and adjusted for FFM were not significantly different between athletic and non-athletic adolescents. However, sex differences in EE remained significant. Thus, differences in EE between athletic and non-athletic adolescents resulted mainly from differences in FFM and physical exercise. Usual activity did not significantly affect energy utilization of substrates. Finally, individual relationships were computed between heart rate and EE with activity programmes simulating the usual activities of athletic and non-athletic adolescents with the goal of predicting EE of the same subjects in free-living conditions.

Keywords

AdolescentsAthletesBody compositionIndirect calorimetryEnergy expenditure
Type
Research Article
Information
British Journal of Nutrition , Volume 83 , Issue 4 , April 2000 , pp. 355 - 362
Copyright
Copyright © The Nutrition Society 2000

References

Beardshall, K, Frost, G, Morarji, Y, Domin, J, Bloom, SR and Calam, J (1989) Saturation of fat and cholecystokinin release: implications for pancreatic carcinogenesis Lancet ii, 1008–1010.CrossRefGoogle Scholar
Berry, EM (1994) Why is oleic acid the major storage fatty acid?. International Journal of Obesity 18(Suppl. 2), 158.Google Scholar
Blundell, JE (1977) Is there a role for serotonin (5-hydroxytryptamine) in feeding? International Journal of Obesity 1, 15–42.Google Scholar
Blundell, JE (1992) Serotonin and the biology of feeding. American Journal of Clinical Nutrition 55, 155S–159S.CrossRefGoogle ScholarPubMed
Blundell, JE and MacDiarmid, JI (1997) Fat as a risk factor for overconsumption: satiation, satiety and patterns of eating. Journal of the American Dietetic Association 97, 63S–69S.CrossRefGoogle ScholarPubMed
Borovicka, J, Kreiss, C, Asal, K, Remy, B, Mettraux, C, Wells, A, Read, NW, Jansen, JBD'Amato, M, Delaloye, AB, Fried, M and Schwizer, W (1996) Role of cholecystokinin as a regulator of solid and liquid gastric emptying in humans. American Journal of Physiology 271, G448–G453.Google ScholarPubMed
Cooling, J, Barth, J and Blundell, J (1998) The high-fat phenotype: is leptin involved in the adaptive response to a high fat (high energy) diet?. International Journal of Obesity 22, 1132–1135.CrossRefGoogle ScholarPubMed
Cooper, SJ, Dourish, CT and Barber, DJ (1990) Reversal of the anorectic effect of (+)-fenfluramine in the rat by the selective cholecystokinin receptor antagonist MK-329. British Journal of Pharmacology 99, 65–70.CrossRefGoogle ScholarPubMed
Doucet, E, Almeras, N, White, MDDespres, J-P, Bouchard, C and Tremblay, A (1998) Dietary fat composition and human adiposity. European Journal of Clinical Nutrition 52, 2–6.CrossRefGoogle ScholarPubMed
French, S, Mutuma, S, Francis, J, Read, N and Meijer, G (1998) The effect of fatty acid composition on intestinal satiety in man. International Journal of Obesity 22(Suppl. 3), 82S.Google Scholar
Friedman, MI (1998) Fuel partitioning and food intake. American Journal of Clinical Nutrition 67(Suppl.), 513S-518S.CrossRefGoogle ScholarPubMed
Friedman, MI and Tordoff, MG (1986) Fatty acid oxidation and glucose utilisation interact to control food intake in rats. American Journal of Physiology 251, R840–R847.Google ScholarPubMed
Friedman, MI, Tordoff, MG and Ramirez, I (1986) Integrated metabolic control of food intake. Brain Research Bulletin 17, 855–859.CrossRefGoogle ScholarPubMed
Green, SM, Burley, VJ and Blundell, JE (1994) Effect of fat- and sucrose-containing foods on the size of eating episodes and energy intake in lean males: potential for causing overconsumption. European Journal of Clinical Nutrition 48, 547–555.Google ScholarPubMed
Holland, B, Welch, AA, Unwin, I, Buss, DH, Paul, AA & Southgate, DAT (1991) McCance and Widdowson's The Composition of Foods, 5th ed. Cambridge: Royal Society of Chemistry/Ministry of Agriculture, Fisheries and Food.Google Scholar
Jones, PJH, Pencharz, PB and Clandinin, MT (1985) Whole body utilisation of dietary fatty acids: implications for energy utilization. American Journal of Clinical Nutrition 42, 769–777.CrossRefGoogle ScholarPubMed
Jones, PJH, Ridgen, JE, Phang, PT and Laird Birmingham, C (1992) Influence of dietary fat polyunsaturated to saturated ratio on energy substrate utilisation in obesity. Metabolism 41, 396–401.CrossRefGoogle ScholarPubMed
Jones, PJH and Schoeller, DA (1988) Polyunsaturated : saturated ratio of dietary fat influences energy substrate utilisation in humans. Metabolism 37, 145–151.CrossRefGoogle Scholar
Langhans, W and Scharrer, E (1987) Evidence for a vagally mediated satiety signal derived from hepatic fatty acid oxidation. Journal of the Autonomic Nervous System 18, 13–21.CrossRefGoogle ScholarPubMed
Lawton, CL, Burley, VJ, Wales, JK and Blundell, JE (1993) Overeating of fat in obese women: failure of high fat intake to suppress later food intake. International Journal of Obesity 17, 409–416.Google Scholar
Leyton, J, Drury, PJ and Crawford, MA (1987) Differential oxidation of saturated and unsaturated fatty acids in vivo in the rat. British Journal of Nutrition 57, 383–393.CrossRefGoogle ScholarPubMed
Mullen, BJ and Martin, RJ (1992) The effect of dietary fat on diet selection may involve central serotonin. American Journal of Physiology 263, R559–R563.Google ScholarPubMed
Rolls, BJ, Gnizak, N, Summerfelt, A and Jacobs Laster, L (1988) Food intake in dieters and nondieters after a liquid meal containing medium-chain triglycerides. American Journal of Clinical Nutrition 48, 66–71.CrossRefGoogle ScholarPubMed
Rolls, BJ, Kim-Harris, S, Fischman, MW, Foltin, RW, Moran, TH and Stoner, SA (1994) Satiety after preloads with different amounts of fat and carbohydrate: implications for obesity. American Journal of Clinical Nutrition 60, 476–487.CrossRefGoogle ScholarPubMed
Shimomura, Y, Tamura, T and Suzuki, M (1990) Less body fat accumulation in rats fed a safflower oil diet than rats fed a beef tallow diet. Journal of Nutrition 120, 1291–1296.CrossRefGoogle ScholarPubMed
Stallone, D, Nicolaidis, S and Gibbs, J (1989) Cholecystokinin-induced anorexia depends on serotoninergic function. American Journal of Physiology 256, R1138–R1141.Google ScholarPubMed
Stubbs, RJ and Harbron, CG (1995) Isoenergetic substitution of MCT for LCT: effect on energy intake in ad libitum feeding men. International Journal of Obesity 19(Suppl. 2), 28.Google Scholar
Stubbs, RJ, Harbron, CG, Murgatroyd, PR and Prentice, AM (1995) Covert manipulation of dietary fat and energy density: effect on substrate flux and food intake in men eating ad libitum. American Journal of Clinical Nutrition 62, 316–329.CrossRefGoogle ScholarPubMed
Stubbs, RJ, Ritz, P, Coward, WA and Prentice, AM (1995) Covert manipulation of the ratio of dietary fat to carbohydrate and energy density: effect on food intake and energy balance in free-living men eating ad libitum. American Journal of Clinical Nutrition 62, 330–337.CrossRefGoogle ScholarPubMed
Stunkard, AJ and Messick, S (1985) The three-factor eating questionnaire to measure dietary restraint, disinhibition and hunger. Journal of Psychosomatic Research 29, 71–83.CrossRefGoogle ScholarPubMed
Tremblay, A, Drapeau, V, Doucet, E, Almeras, NDespres, J-P and Bouchard, C (1998) Fat balance and ageing: results from the Quebec Family Study. British Journal of Nutrition 79, 413–418.CrossRefGoogle ScholarPubMed
Wurtman, J (1985) Neurotransmitter control of carbohydrate consumption. Annals of the New York Academy of Sciences 443, 145–151.CrossRefGoogle ScholarPubMed