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J. Nutr. First published June 17, 2009; doi:10.3945/jn.109.104398
Journal of Nutrition, doi:10.3945/jn.109.104398
Vol. 139, No. 8, 1541-1548, August 2009

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© 2009 American Society for Nutrition


Nutrient Requirements and Optimal Nutrition

Diet Optimization Methods Can Help Translate Dietary Guidelines into a Cancer Prevention Food Plan1,2

Gabriel Masset4,5, Pablo Monsivais3, Matthieu Maillot4,5, Nicole Darmon4,5 and Adam Drewnowski3,*

3 Center for Public Health Nutrition and Nutritional Sciences Program, School of Public Health, University of Washington, WA 98195; 4 Institut national de la recherche agronomique, Unité Mixte de Recherche 1260, Nutriments Lipidiques et Prévention des Maladies Métaboliques, Marseille 13005, France; and 5 Institut national de la santé et de la recherche médicale, Unité 476, Marseille 13005, France

Mathematical diet optimization models are used to create food plans that best resemble current eating habits while meeting prespecified nutrition and cost constraints. This study used linear programming to generate food plans meeting the key 2007 dietary recommendations issued by the World Cancer Research Fund/American Institute of Cancer Research (WCRF/AICR). The models were constructed to minimize deviations in food intake between the observed and the WCRF/AICR-recommended diets. Consumption constraints were imposed to prevent food plans from including unreasonable amounts of food from a single group. Consumption norms for nutrients and food groups were taken from dietary intake data for a sample of adult men and women (n = 161) in the Pacific Northwest. Food plans meeting the WCRF/AICR dietary guidelines numbers 3–5 and 7 were lower in refined grains and higher in vegetables and fruits than the existing diets. For this group, achieving cancer prevention goals required little modification of existing diets and had minimal impact on diet quality and cost. By contrast, the need to meet all nutritional needs through diet alone (guideline no. 8) required a large food volume increase and dramatic shifts from the observed food intake patterns. Putting dietary guidelines into practice may require the creation of detailed food plans that are sensitive to existing consumption patterns and food costs. Optimization models provide an elegant mathematical solution that can help determine whether sets of dietary guidelines are achievable by diverse U.S. population subgroups.


* To whom correspondence should be addressed. E-mail: adamdrew{at}u.washington.edu.

Manuscript received 8 January 2009. Initial review completed 26 January 2009. Revision accepted 21 May 2009.

Published online 17 June 2009.







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