Literature DB >> 20368382

Defining nutrient density: development and validation of the nutrient rich foods index.

Adam Drewnowski1.   

Abstract

The 2005 Dietary Guidelines for Americans and U.S. Department of Agriculture's MyPyramid made a clear distinction between foods that were energy dense and those that were nutrient rich. Consumers were advised to seek out nutrient-rich foods (NRF) in preference to discretionary calories. However, the concept of nutrient density was not formally defined. The Nutrient Rich Foods (NRF) index is a formal metric of nutrient density that has been extensively compared with other methods and validated with respect to a healthy diet. The NRF index is based on 9 nutrients to encourage (protein; fiber; vitamins A, C, and E; calcium; iron; potassium; and magnesium) and 3 nutrients to limit (saturated fat, added sugar, and sodium). The NRF9.3 algorithm is the unweighted sum of percentage daily values (DVs) for 9 nutrients to encourage, minus the sum of percentage maximum recommended values (MRVs) for 3 nutrients to limit, calculated per reference amount and capped at 100% DV. The NRF index successfully ranks foods based on their nutritional value and can be applied to individual foods, meals, menus, and even the daily diet. Development of the NRF index followed scientific guidelines for nutrient profiling and was accompanied by extensive testing and validation.

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Year:  2009        PMID: 20368382     DOI: 10.1080/07315724.2009.10718106

Source DB:  PubMed          Journal:  J Am Coll Nutr        ISSN: 0731-5724            Impact factor:   3.169


  35 in total

Review 1.  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

2.  Perspective: Reductionist Nutrition Research Has Meaning Only within the Framework of Holistic and Ethical Thinking.

Authors:  Anthony Fardet; Edmond Rock
Journal:  Adv Nutr       Date:  2018-11-01       Impact factor: 8.701

3.  Bacterial vaginosis is associated with variation in dietary indices.

Authors:  Marie E Thoma; Mark A Klebanoff; Alisha J Rovner; Tonja R Nansel; Yasmin Neggers; William W Andrews; Jane R Schwebke
Journal:  J Nutr       Date:  2011-07-06       Impact factor: 4.798

4.  The impact of eating frequency and time of intake on nutrient quality and Body Mass Index: the INTERMAP Study, a Population-Based Study.

Authors:  Ghadeer S Aljuraiban; Queenie Chan; Linda M Oude Griep; Ian J Brown; Martha L Daviglus; Jeremiah Stamler; Linda Van Horn; Paul Elliott; Gary S Frost
Journal:  J Acad Nutr Diet       Date:  2015-01-22       Impact factor: 4.910

5.  Ultra-processed food intake and mortality in the USA: results from the Third National Health and Nutrition Examination Survey (NHANES III, 1988-1994).

Authors:  Hyunju Kim; Emily A Hu; Casey M Rebholz
Journal:  Public Health Nutr       Date:  2019-02-21       Impact factor: 4.022

6.  Yogurt consumption, body composition, and metabolic health in the Québec Family Study.

Authors:  Shirin Panahi; Caroline Y Doyon; Jean-Pierre Després; Louis Pérusse; Marie-Claude Vohl; Vicky Drapeau; Angelo Tremblay
Journal:  Eur J Nutr       Date:  2017-06-02       Impact factor: 5.614

7.  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

8.  Nutrient Density to Climate Impact index is an inappropriate system for ranking beverages in order of climate impact per nutritional value.

Authors:  Peter Scarborough; Mike Rayner
Journal:  Food Nutr Res       Date:  2010-11-19       Impact factor: 3.894

9.  Multiple indicators of poor diet quality in children and adolescents with type 1 diabetes are associated with higher body mass index percentile but not glycemic control.

Authors:  Tonja R Nansel; Denise L Haynie; Leah M Lipsky; Lori M B Laffel; Sanjeev N Mehta
Journal:  J Acad Nutr Diet       Date:  2012-11       Impact factor: 4.910

10.  Dietary phytoestrogen intakes of adult women are not strongly related to fecundability in 2 preconception cohort studies.

Authors:  Amelia K Wesselink; Elizabeth E Hatch; Ellen M Mikkelsen; Ellen Trolle; Sydney K Willis; Susan E McCann; Liisa Valsta; Annamari Lundqvist; Katherine L Tucker; Kenneth J Rothman; Lauren A Wise
Journal:  J Nutr       Date:  2020-05-01       Impact factor: 4.798

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