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Characterizing Ultra-Processed Foods by Energy Density, Nutrient Density, and Cost

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Journal Front Nutr
Date 2019 Jun 25
PMID 31231655
Citations 73
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Abstract

The NOVA food classification scheme divides foods into ultra-processed, processed, unprocessed, and culinary ingredients. Ultra-processed foods contribute >60% of energy to diets in the US. To characterize ultra-processed foods by energy density, nutrient density, and monetary cost. The 384 component foods of Fred Hutch (FHCRC) food frequency questionnaire (FFQ), were assigned to 4 NOVA categories and to 7 USDA MyPyramid food groups. Energy density was kcal/g. Nutrient density was measured using the Nutrient Rich Food index NRF. Food prices were collected in local supermarkets from 2004 to 2016. Analyses examined time trends in food prices by NOVA category and by USDA food group. The ultra-processed classification captured mostly grains (91%), fats and sweets (73%), dairy (71%), and beans, nuts and seeds (70%), but only 36% of meat, poultry and fish, 26% of vegetables, and 20% of fruit. Compared to unprocessed foods, ultra-processed foods had lower nutrient density (NRF per 100 kcal: 21.2 vs. 108.5),higher energy density (mean (SD): 2.2 vs. 1.10 in kcal/g), and lower per calorie cost (0.55 vs. 1.45 in $/100 kcal). Ultra-processed foods did not increase in price as much as unprocessed foods over the 12 year period. Ultra-processed foods tend to be energy-dense, low-cost, and nutrient-poor. Low energy cost could be one mechanism linking ultra-processed foods with negative health outcomes. Food-based Dietary Guidelines may need to address food processing in relation to economic aspects of food choice.

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References
1.
Drewnowski A . Concept of a nutritious food: toward a nutrient density score. Am J Clin Nutr. 2005; 82(4):721-32. DOI: 10.1093/ajcn/82.4.721. View

2.
Monsivais P, Drewnowski A . The rising cost of low-energy-density foods. J Am Diet Assoc. 2007; 107(12):2071-6. DOI: 10.1016/j.jada.2007.09.009. View

3.
Monteiro C . Nutrition and health. The issue is not food, nor nutrients, so much as processing. Public Health Nutr. 2009; 12(5):729-31. DOI: 10.1017/S1368980009005291. View

4.
Fulgoni 3rd V, Keast D, Drewnowski A . Development and validation of the nutrient-rich foods index: a tool to measure nutritional quality of foods. J Nutr. 2009; 139(8):1549-54. DOI: 10.3945/jn.108.101360. View

5.
Drewnowski A . The cost of US foods as related to their nutritive value. Am J Clin Nutr. 2010; 92(5):1181-8. PMC: 2954450. DOI: 10.3945/ajcn.2010.29300. View