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.

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.