Evidence map›Paper›PMID 36904287›Full record

ArticleNutrients2023

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

Kevin B Comerford, Adam Drewnowski, Yanni Papanikolaou, Julie Miller Jones, Joanne Slavin, Siddhartha S Angadi, Judith Rodriguez

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Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Kevin B ComerfordOMNI Nutrition Science, Davis, CA 95616, USA.ORCID 0000-0003-0559-4824
Adam DrewnowskiCenter for Public Health Nutrition, University of Washington, Seattle, WA 98195, USA.
Yanni PapanikolaouNutritional Strategies Inc., Nutrition Research & Regulatory Affairs, Paris, ON N3L OA3, Canada.
Julie Miller JonesDepartment of Nutrition and Exercise Science, St. Catherine University, St. Paul, MN 55105, USA.
Joanne SlavinDepartment of Food Science and Nutrition, University of Minnesota, St. Paul, MN 55105, USA.ORCID 0000-0003-0720-5300
Siddhartha S AngadiDepartment of Kinesiology, University of Virginia, Charlottesville, VA 22903, USA.ORCID 0000-0002-2932-7926
Judith RodriguezDepartment of Nutrition & Dietetics, University of North Florida, Jacksonville, FL 32224, USA.ORCID 0000-0003-2802-9836

Funding

Potatoes USA N/A
6 · The paper itself

Abstract

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.

Indexed as

DietFruitCarbohydratesFood QualityHumansNutritive ValueSugarsUnited StatesVegetablesCarbohydratesSugarscarbohydrate qualityculturally inclusive dietary patternsdietary guidelines for Americansfiberfree sugarspotassiumsodiumThrifty Food Planwhole grain

Identifiers

PMID36904287
PMCPMC10005444

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.