Literature DB >> 33508079

Perspective: Why Whole Grains Should Be Incorporated into Nutrient-Profile Models to Better Capture Nutrient Density.

Adam Drewnowski1, Nicola McKeown2,3, Katrina Kissock4,5, Eleanor Beck4,5, Heddie Mejborn6, Florent Vieux7, Jessica Smith8, Gabriel Masset9, Chris J Seal10.   

Abstract

Healthy eating patterns, as described by dietary guidelines, typically favor whole grains, low-fat dairy, vegetables, fruit, legumes, and nuts and seeds. Nutrient-profiling (NP) models capture nutrient density of individual foods and can inform healthier food choices. Although whole grains are prominently featured in most dietary guidelines, they are not included in most NP models. Healthy foods, as identified by most NP models, are those that contain limited amounts of energy, saturated fat, total or added sugar, and sodium. As global dietary guidance turns to foods and food groups as opposed to individual nutrients, future nutrient-density metrics may need to do the same. Potential methods to incorporate whole grains into the overall concept of nutrient density and into selected NP models are outlined in this review. Incorporating whole grains into the Nutri-Score, Health Star Rating, or the Nutrient Rich Food index will require further analyses of dietary nutrient density in relation to health outcomes across diverse population subgroups. We present the rationale for how the inclusion of whole grains in NP models can assist in the implementation of dietary guidance.
© The Author(s) 2021. Published by Oxford University Press on behalf of the American Society for Nutrition.

Entities:  

Keywords:  Health Star Rating; Nutri-Score; Nutrient Rich Food index; cereal fiber; dietary guidelines; energy density; food groups; nutrient density; nutrient profiling; whole grains

Year:  2021        PMID: 33508079     DOI: 10.1093/advances/nmaa172

Source DB:  PubMed          Journal:  Adv Nutr        ISSN: 2161-8313            Impact factor:   8.701


  11 in total

1.  Applying and comparing various nutrient profiling models against the packaged food supply in South Africa.

Authors:  Tamryn Frank; Shu Wen Ng; Donna R Miles; Elizabeth C Swart
Journal:  Public Health Nutr       Date:  2022-02-16       Impact factor: 4.539

2.  Balanced Hybrid Nutrient Density Score Compared to Nutri-Score and Health Star Rating Using Receiver Operating Characteristic Curve Analyses.

Authors:  Adam Drewnowski; Tanhia D Gonzalez; Colin D Rehm
Journal:  Front Nutr       Date:  2022-05-02

Review 3.  Diet-Derived Antioxidants and Their Role in Inflammation, Obesity and Gut Microbiota Modulation.

Authors:  Andrea Deledda; Giuseppe Annunziata; Gian Carlo Tenore; Vanessa Palmas; Aldo Manzin; Fernanda Velluzzi
Journal:  Antioxidants (Basel)       Date:  2021-04-29

4.  Multiple Metrics of Carbohydrate Quality Place Starchy Vegetables Alongside Non-starchy Vegetables, Legumes, and Whole Fruit.

Authors:  Adam Drewnowski; Matthieu Maillot; Florent Vieux
Journal:  Front Nutr       Date:  2022-05-02

5.  A New Carbohydrate Food Quality Scoring System to Reflect Dietary Guidelines: An Expert Panel Report.

Authors:  Adam Drewnowski; Matthieu Maillot; Yanni Papanikolaou; Julie Miller Jones; Judith Rodriguez; Joanne Slavin; Siddhartha S Angadi; Kevin B Comerford
Journal:  Nutrients       Date:  2022-04-02       Impact factor: 5.717

6.  "Even We Are Confused": A Thematic Analysis of Professionals' Perceptions of Processed Foods and Challenges for Communication.

Authors:  Christina R Sadler; Terri Grassby; Kathryn Hart; Monique M Raats; Milka Sokolović; Lada Timotijevic
Journal:  Front Nutr       Date:  2022-02-23

7.  Aligning nutrient profiling with dietary guidelines: modifying the Nutri-Score algorithm to include whole grains.

Authors:  Katrina R Kissock; Florent Vieux; Kevin C Mathias; Adam Drewnowski; Chris J Seal; Gabriel Masset; Jessica Smith; Heddie Mejborn; Nicola M McKeown; Eleanor J Beck
Journal:  Eur J Nutr       Date:  2021-11-24       Impact factor: 5.614

8.  Defining Energy-Dense, Nutrient-Poor Food and Drinks and Estimating the Amount of Discretionary Energy.

Authors:  Anja Biltoft-Jensen; Jeppe Matthiessen; Karin Hess Ygil; Tue Christensen
Journal:  Nutrients       Date:  2022-04-01       Impact factor: 5.717

9.  The New Hybrid Nutrient Density Score NRFh 4:3:3 Tested in Relation to Affordable Nutrient Density and Healthy Eating Index 2015: Analyses of NHANES Data 2013-16.

Authors:  Adam Drewnowski; Jessica Smith; Victor L Fulgoni
Journal:  Nutrients       Date:  2021-05-20       Impact factor: 5.717

10.  Healthcare Cost Savings Associated with Increased Whole Grain Consumption among Australian Adults.

Authors:  Mohammad M H Abdullah; Jaimee Hughes; Sara Grafenauer
Journal:  Nutrients       Date:  2021-05-29       Impact factor: 5.717

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