4.7 Article

Application of a New Carbohydrate Food Quality Scoring System: An Expert Panel Report

期刊

NUTRIENTS
卷 15, 期 5, 页码 -

出版社

MDPI
DOI: 10.3390/nu15051288

关键词

carbohydrate quality; fiber; free sugars; whole grain; sodium; potassium; dietary guidelines for Americans; Thrifty Food Plan; culturally inclusive dietary patterns

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Carbohydrate foods are the main source of energy in the US diet, but many commonly consumed carbohydrate foods are low in fiber and whole grains and high in added sugar, sodium, and saturated fat. A new Carbohydrate Food Quality Scoring System has been developed to convey the concept of carbohydrate quality. The system provides models for different types of carbohydrate-rich foods and can guide policy, programs, and individuals towards better carbohydrate food choices that are nutrient-dense, fiber-rich, and low in added sugar.
Carbohydrate foods (>= 40% energy from carbohydrates) are the main source of energy in the US diet. In contrast to national-level dietary guidance, many regularly consumed carbohydrate foods are low in fiber and whole grains but high in added sugar, sodium, and/or saturated fat. Given the important contribution of higher-quality carbohydrate foods to affordable healthy diets, new metrics are needed to convey the concept of carbohydrate quality to policymakers, food industry stakeholders, health professionals, and consumers. The recently developed Carbohydrate Food Quality Scoring System is well aligned with multiple key healthy messages on nutrients of public health concern from the 2020-2025 Dietary Guidelines for Americans. Two models are described in a previously published paper: one for all non-grain carbohydrate-rich foods (e.g., fruits, vegetables, legumes) known as the Carbohydrate Food Quality Score-4 (CFQS-4), and one for grain foods only known as the Carbohydrate Food Quality Score-5 (CFQS-5). These CFQS models provide a new tool that can guide policy, programs, and people towards improved carbohydrate food choices. Specifically, the CFQS models represent a way to unify and reconcile diverse ways to describe different types of carbohydrate-rich foods (e.g., refined vs. whole, starchy vs. non-starchy, dark green vs. red/orange) and make for more useful and informative messaging that better aligns with a food's nutritional and/or health contributions. The present paper's aims are to show that the CFQS models can inform future dietary guidelines and help support carbohydrate food recommendations with other health messages aimed at promoting foods that are nutrient-dense, fiber-rich, and low in added sugar.

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