Literature DB >> 18084735

Comparison of different nutrient profiling schemes to a new reference method using dietary surveys.

Caroline Quinio1, Anja Biltoft-Jensen, Stefaan De Henauw, Michael J Gibney, Inge Huybrechts, Sinéad N McCarthy, Jennifer L O'Neill, Inge Tetens, Aida Turrini, Jean-Luc Volatier.   

Abstract

A new EU regulation on nutrition and health claims made on foods has entered into force in January 2007. The regulation provides for the use of nutrient profiles to determine which foods may bear claims but does not specify what the profiles should be or how they should be developed. Several nutrient profiling schemes have already been established. Therefore, it is necessary to develop approaches to test if the existing profiling schemes could fulfil the new regulation needs. The aim of the present study is to investigate how reference "indicator foods" derived from national dietary surveys in five different countries, are classified according to three existing nutrient profiling schemes: The UK Food Standards Agency (FSA) model, The Dutch Tripartite classification model and the US FDA model used for regulating health claims. "Indicator foods" that have been shown to be positively or negatively associated with healthy diets in adults in five EU countries were classified according to each of the three profiling schemes. The performance and effectiveness of each profiling scheme in correctly classifying the "indicator foods" were assessed using sensitivity and specificity ratios. The sensitivity and the specificity ratios of the three profiling schemes tested were relatively good. There were only small differences of performance between the three systems. A significant negative correlation between sensitivity and specificity was observed. The level of concordance between the classification of the "indicator foods" that have been selected because of being positively or negatively associated with a healthy diet and the classification by each of the three profiling methods tested was quite good. However, further improvement of the "indicator foods" approach is needed if it is to serve as a "gold standard".

Mesh:

Year:  2007        PMID: 18084735     DOI: 10.1007/s00394-007-2005-4

Source DB:  PubMed          Journal:  Eur J Nutr        ISSN: 1436-6207            Impact factor:   5.614


  1 in total

1.  A new reference method for the validation of the nutrient profiling schemes using dietary surveys.

Authors:  Jean-Luc Volatier; Anja Biltoft-Jensen; Stefaan De Henauw; Michael J Gibney; Inge Huybrechts; Sinéad N McCarthy; Jennifer L O'Neill; Caroline Quinio; Aida Turrini; Inge Tetens
Journal:  Eur J Nutr       Date:  2007-12       Impact factor: 5.614

  1 in total
  8 in total

1.  Association between yogurt consumption, dietary patterns, and cardio-metabolic risk factors.

Authors:  Hubert Cormier; Élisabeth Thifault; Véronique Garneau; Angelo Tremblay; Vicky Drapeau; Louis Pérusse; Marie-Claude Vohl
Journal:  Eur J Nutr       Date:  2015-03-15       Impact factor: 5.614

2.  Voluntary policies on checkout foods and healthfulness of foods displayed at, or near, supermarket checkout areas: a cross-sectional survey.

Authors:  Chi Ching Vivian Lam; Katrine T Ejlerskov; Martin White; Jean Adams
Journal:  Public Health Nutr       Date:  2018-10-12       Impact factor: 4.022

3.  Future body mass index modelling based on macronutrient profiles and physical activity.

Authors:  David K Cundiff; Nikunj Raghuvanshi
Journal:  Theor Biol Med Model       Date:  2012-10-29       Impact factor: 2.432

4.  Potential effects of nutrient profiles on nutrient intakes in the Netherlands, Greece, Spain, USA, Israel, China and South-Africa.

Authors:  Annet J C Roodenburg; Anke Schlatmann; Mariska Dötsch-Klerk; Robert Daamen; Jie Dong; Marta Guarro; Margarita Stergiou; Nazeeia Sayed; Eunice Ronoh; Léon Jansen; Jacob C Seidell
Journal:  PLoS One       Date:  2011-02-23       Impact factor: 3.240

5.  Nutrition Quality of Packaged Foods in Bogotá, Colombia: A Comparison of Two Nutrient Profile Models.

Authors:  Mercedes Mora-Plazas; Luis F Gómez; Donna R Miles; Diana C Parra; L S Taillie
Journal:  Nutrients       Date:  2019-05-04       Impact factor: 5.717

6.  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

7.  A simple visual model to compare existing nutrient profiling schemes.

Authors:  Hans Verhagen; Henk van den Berg
Journal:  Food Nutr Res       Date:  2008-03-13       Impact factor: 3.894

8.  The nature of UK supermarkets' policies on checkout food and associations with healthfulness and type of food displayed: cross-sectional study.

Authors:  Katrine T Ejlerskov; Martine Stead; Ashley Adamson; Martin White; Jean Adams
Journal:  Int J Behav Nutr Phys Act       Date:  2018-06-11       Impact factor: 6.457

  8 in total

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