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Quantifying and separating the effects of macronutrient composition and non-macronutrients on energy density

Published online by Cambridge University Press:  09 March 2007

Gary K. Grunwald ,
Helen M. Seagle ,
John C. Peters  and
James O. Hill
Gary K. Grunwald*
Affiliation:
Center for Human NutritionUniversity of Colorado Health Sciences Center, Denver, CO 80262, USA Department of Preventive Medicine and Biometrics, University of Colorado Health Sciences Center, Denver, CO 80262, USA
Helen M. Seagle
Affiliation:
Center for Human NutritionUniversity of Colorado Health Sciences Center, Denver, CO 80262, USA
John C. Peters
Affiliation:
Procter and Gamble Company, Cincinnati, OH 45224, USA
James O. Hill
Affiliation:
Center for Human NutritionUniversity of Colorado Health Sciences Center, Denver, CO 80262, USA
*
*Corresponding author: Dr Gary K. Grunwald, fax +1 303 315 3273, email [email protected]
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Abstract

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The purpose of the present study was to estimate and compare the effects of macronutrient composition (relative portions of macronutrients) and of non-macronutrient components (e.g. water and fibre) on energy density (energy per unit weight) of the diets of human subjects. We used standard macronutrient energy content values to develop a simple conceptual model and equation for energy density in terms of % energy from dietary fat and % non-macronutrients by weight. To study these effects in self-selected diets of free-living subjects, we used four consecutive days of self-weighed and recorded food records for thirty-two male and thirteen female free-living adult subjects. In the range of typical human diets, the effect of % non-macronutrients by weight was several times greater than that of % energy from dietary fat, both in absolute terms and relative to daily variation in subjects' diets. Both effects were large enough to be physiologically important. Non-macronutrients (% by weight) alone explained much more of the variation in self-selected dietary energy density either between subjects (R2 95 %) or day-to-day (R2 95 %) than did % energy from dietary fat (R2 5 % and 6 % respectively). Omitting beverages gave similar results. The smaller effect of macronutrient composition on energy density of diets is mainly because alterations in macronutrient composition affect only the portion of typical dietary intake that is macronutrients (one-quarter to one-third of weight). Mathematical methods are also useful in analysing observational data and for separating effects of macronutrient composition and non-macronutrients in intervention studies. These results illustrate the importance of considering non-macronutrients in the design and analysis of experimental or observational dietary data.

Keywords

Diet compositionDietary fatDietary interventionEnergy intake
Type
Research Article
Information
British Journal of Nutrition , Volume 86 , Issue 2 , August 2001 , pp. 265 - 276
Copyright
Copyright © The Nutrition Society 2001

References

Bland, JM & Altman, DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1, 307–310.CrossRefGoogle ScholarPubMed
Blundell, JE & Stubbs, RJ (1999) High and low carbohydrate and fat intakes: limits imposed by appetite and palatability and their implications for energy balance. European Journal of Clinical Nutrition 53 Suppl. 1, S148–S165.CrossRefGoogle ScholarPubMed
Drewnowski, A (1998) Energy density, palatability, and satiety: implications for weight control. Nutrition Reviews 56, 347–353.CrossRefGoogle ScholarPubMed
Duncan, KH, Bacon, JA & Weinsier, RL (1983) The effects of high and low energy density diets on satiety, energy intake, and eating time of obese and non obese subjects. American Journal of Clinical Nutrition 37, 763–767.CrossRefGoogle Scholar
Lissner, L, Levitsky, DA, Strupp, BJ, Kalkwarf, HJ & Roe, DA (1987) Dietary fat and the regulation of energy intake in human subjects. American Journal of Clinical Nutrition 46, 886–892.CrossRefGoogle ScholarPubMed
Poppitt, SD (1995) Energy density of diets and obesity. International Journal of Obesity 19 Suppl. 5, S20–S26.Google ScholarPubMed
Poppitt, SD & Prentice, AM (1996) Energy density and its role in the control of food intake: evidence from metabolic and community studies. Appetite 26, 153–174.CrossRefGoogle ScholarPubMed
Poppitt, SD & Swann, DL (1998) Dietary manipulation and energy compensation: does the intermittent use of low-fat items in the diet reduce total energy intake in free-feeding lean men? International Journal of Obesity 22, 1024–1031.CrossRefGoogle ScholarPubMed
Rolls, BJ & Bell, EA (1998) Energy intake: effects of fat content and energy density of foods. In Nutrition, Genetics and Obesity, Vol. IX, [Bray, GA and Ryan, DH, editors]. Baton Rouge, LA: Louisiana State University Press.Google Scholar
Rolls, BJ, Bell, EA & Thorwart, ML (1999) Water incorporated into a food but not served with a food decreases energy intake in lean women. American Journal of Clinical Nutrition 70, 448–455.CrossRefGoogle Scholar
Rolls, BJ, Bell, EA & Waugh, BA (2000) Increasing the volume of a food by incorporating air affects satiety in men. American Journal of Clinical Nutrition 72, 361–368.CrossRefGoogle ScholarPubMed
Rolls, BJ & Barnett, RA (2000) Volumetrics, New York, NY: HarperCollins.Google Scholar
Saltzman, E, Dallal, GE & Roberts, SB (1997) Effect of high-fat and low-fat diets on voluntary energy intake and substrate oxidation: studies in identical twins consuming diets matched for energy density, fiber, and palatability. American Journal of Clinical Nutrition 66, 1332–1339.CrossRefGoogle ScholarPubMed
Seagle, HM, Davy, BM, Grunwald, GK & Hill, JO (1997) Energy density of self-reported food intake: variation and relationship to other food components. Obesity Research 5 Suppl. 1, S78.Google Scholar
Stubbs, RJ, Harbron, CG, Murgatroyd, PR & 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, Harbron, CG & Prentice, AM (1996) Covert manipulation of the dietary fat to carbohydrate ratio of isoenergetically dense diets: effect on food intake in feeding men ad libitum. International Journal of Obesity 20, 651–660.Google ScholarPubMed
Thomas, CD, Peters, JC, Reed, GW, Abumrad, NN, Sun, M & Hill, JO (1992) Nutrient balance and energy expenditure during ad libitum feeding of high-fat and high-carbohydrate diets in humans. American Journal of Clinical Nutrition 55, 934–942.CrossRefGoogle ScholarPubMed
Tremblay, A, Plourde, G, Despres, JP & Bouchard, C (1989) Impact of dietary fat content and fat oxidation on energy intake in humans. American Journal of Clinical Nutrition 49, 799–805.CrossRefGoogle ScholarPubMed
Tremblay, A, Lavallee, N, Almeras, N, Allard, L, Despres, JP & Bouchard, C (1991) Nutritional determinants of the increase in energy intake associated with a high-fat diet. American Journal of Clinical Nutrition 53, 1134–1137.CrossRefGoogle ScholarPubMed
Tremblay, A & St-Pierre, S (1996) The hyperphagic effect of a high-fat diet and alcohol intake persists after control for energy density. American Journal of Clinical Nutrition 63, 479–482.CrossRefGoogle ScholarPubMed
van Stratum, P, Lussenburg, RN, van Wezel, LA, Vergroesen, AJ & Cremer, HD (1978) The effect of dietary carbohydrate:fat ratio on energy intake by adult women. American Journal of Clinical Nutrition 31, 206–212.CrossRefGoogle ScholarPubMed