title: The carbohydrate-fat problem: can we construct a healthy diet based on dietary guidelines?
abstract: The inclusion of nutrition economics in dietary guidance would help ensure that the Dietary Guidelines for Americans benefit equally all segments of the US population. The present review outlines some novel metrics of food affordability that assess nutrient density of foods and beverages in relation to cost. Socioeconomic disparities in diet quality in the United States are readily apparent. In general, groups of lower socioeconomic status consume cheaper, lower-quality diets and suffer from higher rates of noncommunicable diseases. Nutrient profiling models, initially developed to assess the nutrient density of foods, can be turned into econometric models that assess both calories and nutrients per reference amount and per unit cost. These novel metrics have been used to identify individual foods that were affordable, palatable, culturally acceptable, and nutrient rich. Not all nutrient-rich foods were expensive. In dietary surveys, both local and national, some high-quality diets were associated with relatively low cost. Those population subgroups that successfully adopted dietary guidelines at an unexpectedly low monetary cost were identified as "positive deviants." Constructing a healthy diet based on dietary guidelines can be done, provided that nutrient density of foods, their affordability, as well as taste and social norms are all taken into account.
authors.affiliation: Center for Public Health Nutrition, University of Washington, Seattle, WA adamdrew@uw.edu.
authors.forename: Adam
authors.initials: A
authors.lastname: Drewnowski
mesh_terms: D004032:Diet / Q000191:economics / Q000592:standards; D004040:Dietary Carbohydrates; D004041:Dietary Fats; D005247:Feeding Behavior; D006801:Humans; D018673:Nutrition Policy / Q000191:economics; D014481:United States
chemical_list: D004040:Dietary Carbohydrates; D004041:Dietary Fats
keywords: affordability; dietary guidelines; food prices; nutrient density; nutrient profiling; positive deviance