A Simple Visual Model to Compare Existing Front-of-pack Nutrient Profiling Schemes

Journal Title: European Journal of Nutrition & Food Safety - Year 2014, Vol 4, Issue 4

Abstract

Nutrient profiling is an important tool for governments, non-governmental organizations (NGO’s) and for the food industry, to help consumers make healthier food choices. Multiple nutrient profiling systems (NPS) have been introduced worldwide. There is, however, no agreement on the use of a single NPS in leading regions like the USA and Europe. In 2008, the Arrow Model of Verhagen and van den Berg was created to illustrate and compare characteristics of existing NPS. Recent developments in nutrient profiling give rise to the need for an updated Model. The present study aims to develop a comprehensive model, which can be used to explain and compare various front-of-pack nutrient profiling systems (FOP-NPSs). An extensive literature research was conducted to obtain an overview of existing FOP-NPS worldwide. Only FOP-NPS that are currently in use, focus on health-related product aspects and target the general population (adults and children) were included. The Funnel Model was developed based on the analysis of 40 existing FOP-NPSs and expert interviews. This Model illustrates different FOP-NPS and allows comparison among them. The Funnel Model includes several new characteristics compared to the Arrow Model. Numerous ingredients and four new characteristics were added to the Funnel Model: directivity, type of institution initiating the system, purpose and utilization. Several other characteristics were expanded with new elements. The Funnel Model also has a new visual presentation which is useful to clearly explain and compare FOP-NPS.

Authors and Affiliations

Daphne Van Der Bend, Joost Van Dieren, Marta De Vasconcelos Marques, Nick L. W. Wezenbeek, Niki Kostareli, Patricia Guerreiro Rodrigues, Elisabeth H. M. Temme, Susanne Westenbrink, Hans Verhagen

Keywords

Related Articles

Identifying Food Consumption Patterns among Young Consumers by Unsupervised and Supervised Multivariate Data Analysis

Although computational multivariate data analysis (MDA) already has been employed in the dietary survey area, the results reported are based mainly on classical exploratory (descriptive) techniques. Therefore, data of a...

Risk Assessments of Cyclamate, Saccharin, Neohesperidine DC, Steviol Glycosides and Neotamefrom Soft Drinks, “Saft” and Nectar

The Norwegian Scientific Committee for Food Safety (Vitenskapskomiteen for mattrygghet, VKM), Panel on Food Additives, Flavourings, Processing Aids, Materials in Contact with Food and Cosmetics, has at the request of the...

Comparative Analysis of the Nutritional Status of Under-five Children and their Mothers in Rural and Urban Areas of Anambra State, Nigeria

Aim: Malnutrition in the form of under-nutrition is still a major public health problem in developing countries of sub-Saharan Africa including Nigeria. This study compares the nutritional status of under-five children a...

Origin of the Recommended Intake of L-Histidine by Infants

Background: In mid-2012, Food Standards Australia New Zealand (FSANZ) received an application to change the Australia New Zealand Food Standards Code so that the minimum L-histidine content of infant formula sold in Aust...

Relationship between Prolonged Sweetener Consumption and Chronic Stress in the Production of Carbonylated Proteins in Blood Lymphocytes

Introduction: Modern lifestyles have changed eating habits, encouraged physical inactivity, and increased stress in daily life. These living conditions cause elevated concentrations of carbonylated proteins like biomarke...

Download PDF file
  • EP ID EP350394
  • DOI 10.9734/EJNFS/2014/10305
  • Views 68
  • Downloads 0

How To Cite

Daphne Van Der Bend, Joost Van Dieren, Marta De Vasconcelos Marques, Nick L. W. Wezenbeek, Niki Kostareli, Patricia Guerreiro Rodrigues, Elisabeth H. M. Temme, Susanne Westenbrink, Hans Verhagen (2014). A Simple Visual Model to Compare Existing Front-of-pack Nutrient Profiling Schemes. European Journal of Nutrition & Food Safety, 4(4), 429-534. https://europub.co.uk/articles/-A-350394