4.7 Article

The cost of US foods as related to their nutritive value

Journal

AMERICAN JOURNAL OF CLINICAL NUTRITION
Volume 92, Issue 5, Pages 1181-1188

Publisher

AMER SOC CLINICAL NUTRITION
DOI: 10.3945/ajcn.2010.29300

Keywords

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Funding

  1. USDA Cooperative State Research Education and Extension Service [2004 35215 14441]
  2. NIH [R01 DK 076608, R21 DK085406]

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Background Comparisons of the cost of different foods relative to their energy and nutritive value were conducted in the 1800s by the US Department of Agriculture (USDA) Objective The objective was to reestablish the relations between food cost energy and nutrients by using contemporary nutrient composition and food prices data from the USDA Design The USDA Food and Nut, lent Database for Dietary Studies 1 0 (FNDDS 1 0) and the Center for Nutrition Policy and Promotion food prices database were used for analysis For 1387 foods key variables were as follows energy density (kcal/g) serving size (g) unit price ($/100 g) serving price ($/serving) and energy cost ($/kcal) A regression model tested associations between nutrients and unit price ($/100 g) Comparisons between food groups were tested by using one factor analyses of variance Relations between energy density and price within food groups were tested by using Spearman s correlations Results Grains and fats food groups supplied the lowest cost dietary energy The energy cost for vegetables was higher than that for any other food group except for fruit Serving sizes increased with water content and varied inversely with energy density of foods The highest prices per serving were for meats poultry and fish and the lowest prices per serving were for the fats category Although car bohydrates, sugar and fat were associated with lower price per 100 g, protein, fiber vitamins, and minerals were associated with higher price per 100 g after adjustment for energy Conclusions Grains and sugars food groups were cheaper than vegetables and fruit per alone and were cheaper than fruit per serving These price differentials may help to explain why low-cost energy-dense foods that ale nutrient poor are associated with lower education and incomes Am J Clin Nutr 2010 92 1181-8

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