An approach to monitor food and nutrition from "factory to fork".

BACKGROUND: Accurate, adequate, and timely food and nutrition information is necessary in order to monitor changes in the US food supply and assess their impact on individual dietary intake. OBJECTIVE: Our aim was to develop an approach that links time-specific purchase and consumption data to provide updated, market representative nutrient information. METHODS: We utilized household purchase data (Nielsen Homescan, 2007-2008), self-reported dietary intake data (What We Eat in America [WWEIA], 2007-2008), and two sources of nutrition composition data. This Factory to Fork Crosswalk approach connected each of the items reported to have been obtained from stores from the 2007-2008 cycle of the WWEIA dietary intake survey to corresponding food and beverage products that were purchased by US households during the equivalent time period. Using nutrition composition information and purchase data, an alternate Crosswalk-based nutrient profile for each WWEIA intake code was created weighted by purchase volume of all corresponding items. Mean intakes of daily calories, total sugars, sodium, and saturated fat were estimated. RESULTS: Differences were observed in the mean daily calories, sodium, and total sugars reported consumed from beverages, yogurts, and cheeses, depending on whether the Food and Nutrient Database for Dietary Studies 4.1 or the alternate nutrient profiles were used. CONCLUSIONS: The Crosswalk approach augments national nutrition surveys with commercial food and beverage purchases and nutrient databases to capture changes in the US food supply from factory to fork. The Crosswalk provides a comprehensive and representative measurement of the types, amounts, prices, locations and nutrient composition of consumer packaged goods foods and beverages consumed in the United States. This system has potential to be a major step forward in understanding the consumer packaged goods sector of the US food system and the impacts of the changing food environment on human health.

Estimating added sugars in US consumer packaged goods: An application to beverages in 2007-08.

This study developed a method to estimate added sugar content in consumer packaged goods (CPG) that can keep pace with the dynamic food system. A team including registered dietitians, a food scientist and programmers developed a batch-mode ingredient matching and linear programming (LP) approach to estimate the amount of each ingredient needed in a given product to produce a nutrient profile similar to that reported on its nutrition facts label (NFL). Added sugar content was estimated for 7021 products available in 2007-08 that contain sugar from ten beverage categories. Of these, flavored waters had the lowest added sugar amounts (4.3g/100g), while sweetened dairy and dairy alternative beverages had the smallest percentage of added sugars (65.6% of Total Sugars; 33.8% of Calories). Estimation validity was determined by comparing LP estimated values to NFL values, as well as in a small validation study. LP estimates appeared reasonable compared to NFL values for calories, carbohydrates and total sugars, and performed well in the validation test; however, further work is needed to obtain more definitive conclusions on the accuracy of added sugar estimates in CPGs. As nutrition labeling regulations evolve, this approach can be adapted to test for potential product-specific, category-level, and population-level implications.