Literature DB >> 19549759

Development and validation of the nutrient-rich foods index: a tool to measure nutritional quality of foods.

Victor L Fulgoni1, Debra R Keast, Adam Drewnowski.   

Abstract

Ranking and/or classifying foods based on their nutrient composition is known as nutrient profiling. Nutrition quality indices need to be tested and validated against quality of the total diet. A family of nutrient-rich foods (NRF) indices were validated against the Healthy Eating Index (HEI), an accepted measure of diet quality. All foods consumed by participants in NHANES 1999-2002 studies were scored using NRFn.3 (where n = 6-15) indices based on unweighted sums, means, and ratios of percent daily values (DV) for nutrients to encourage (n) and for nutrients to limit (LIM) (3). Individual food scores were calculated based on 100 kcal (418 kJ) and FDA serving sizes [reference amounts customarily consumed (RACC)]. Energy-weighted food-based scores per person were then regressed against HEI, adjusting for gender, age, and ethnicity. The measure of index performance was the percentage of variation in HEI (R2) explained by each NRF score. NRF indices based on both nutrients to encourage and LIM performed better than indices based on LIM only. Maximum variance in HEI was explained using 6 or 9 nutrients to encourage; index performance actually declined with the inclusion of additional vitamins and minerals. NRF indices based on 100 kcal (418 kJ) performed similarly to indices based on RACC. Algorithms based on sums or means of nutrient DV performed better than ratio-based scores. The NRF9.3 index, based on 9 nutrients to encourage and 3 LIM per RACC and per 100 kcal, explained the highest percentage of variation from HEI and could be readily expected to rank foods based on nutrient density.

Entities:  

Mesh:

Year:  2009        PMID: 19549759     DOI: 10.3945/jn.108.101360

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  101 in total

1.  Calcium intake in the United States from dietary and supplemental sources across adult age groups: new estimates from the National Health and Nutrition Examination Survey 2003-2006.

Authors:  Kelsey M Mangano; Stephen J Walsh; Karl L Insogna; Anne M Kenny; Jane E Kerstetter
Journal:  J Am Diet Assoc       Date:  2011-05

Review 2.  Experimental research on the relation between food price changes and food-purchasing patterns: a targeted review.

Authors:  Leonard H Epstein; Noelle Jankowiak; Chantal Nederkoorn; Hollie A Raynor; Simone A French; Eric Finkelstein
Journal:  Am J Clin Nutr       Date:  2012-02-29       Impact factor: 7.045

3.  Associations of food preferences and household food availability with dietary intake and quality in youth with type 1 diabetes.

Authors:  L M Lipsky; T R Nansel; D L Haynie; S N Mehta; L M B Laffel
Journal:  Appetite       Date:  2012-05-14       Impact factor: 3.868

4.  Contextual factors are associated with diet quality in youth with type 1 diabetes mellitus.

Authors:  Tonja R Nansel; Leah M Lipsky; Aiyi Liu; Lori M B Laffel; Sanjeev N Mehta
Journal:  J Acad Nutr Diet       Date:  2014-03-18       Impact factor: 4.910

5.  Diets benefiting health and climate relate to longevity in northern Sweden.

Authors:  Anna Strid; Ingegerd Johansson; Marta Bianchi; Ulf Sonesson; Elinor Hallström; Bernt Lindahl; Anna Winkvist
Journal:  Am J Clin Nutr       Date:  2021-08-02       Impact factor: 7.045

6.  Little variation in diet cost across wide ranges of overall dietary quality among youth with type 1 diabetes.

Authors:  Tonja Nansel; Denise Haynie; Leah Lipsky; Sanjeev Mehta; Lori Laffel
Journal:  J Acad Nutr Diet       Date:  2014-09-27       Impact factor: 4.910

Review 7.  The carbohydrate-fat problem: can we construct a healthy diet based on dietary guidelines?

Authors:  Adam Drewnowski
Journal:  Adv Nutr       Date:  2015-05-15       Impact factor: 8.701

8.  Is the degree of food processing and convenience linked with the nutritional quality of foods purchased by US households?

Authors:  Jennifer M Poti; Michelle A Mendez; Shu Wen Ng; Barry M Popkin
Journal:  Am J Clin Nutr       Date:  2015-05-06       Impact factor: 7.045

9.  Nutriome-metabolome relationships provide insights into dietary intake and metabolism.

Authors:  Joram M Posma; Isabel Garcia-Perez; Gary Frost; Ghadeer S Aljuraiban; Queenie Chan; Linda Van Horn; Martha Daviglus; Jeremiah Stamler; Elaine Holmes; Paul Elliott; Jeremy K Nicholson
Journal:  Nat Food       Date:  2020-06-22

10.  Nutrient density of beverages in relation to climate impact.

Authors:  Annika Smedman; Helena Lindmark-Månsson; Adam Drewnowski; Anna-Karin Modin Edman
Journal:  Food Nutr Res       Date:  2010-08-23       Impact factor: 3.894

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.