scholarly journals Nutrient profiling for regulatory purposes

2017 ◽  
Vol 76 (3) ◽  
pp. 230-236 ◽  
Author(s):  
Mike Rayner

In this paper, I first provide definitions of nutrient profiling and of a nutrient profile model. I set out the purposes of nutrient profiling: both general and specific. I give two examples of nutrient profile models that have been developed for regulatory purposes by the Food Standards Agency (FSA) in the UK and the WHO for its European Region – the UK FSA/Ofcom and the WHO-Euro models – and compare the way the models are constructed and function, how they have been developed, the extent to which they have been tested and validated and their use in regulation. Finally I draw some conclusions about the future use of nutrient profiling for regulatory purposes. I argue that its full potential has yet to be realised and give some reasons why. I pose some urgent research questions with respect to nutrient profiling.

2007 ◽  
Vol 10 (4) ◽  
pp. 337-345 ◽  
Author(s):  
Peter Scarborough ◽  
Anna Boxer ◽  
Mike Rayner ◽  
Lynn Stockley

AbstractObjectiveTo compare nutrient profile models with a standard ranking of 120 foods.DesignOver 700 nutrition professionals were asked to categorise 120 foods into one of six positions on the basis of their healthiness. These categorisations were used to produce a standard ranking of the 120 foods. The standard ranking was compared with the results of applying eight different nutrient profile models to the 120 foods: Models SSCg3d and WXYfm developed for the UK Food Standards Agency, the Nutritious Food Index, the Ratio of Recommended to Restricted nutrients, the Naturally Nutrient Rich score, the Australian Heart Foundation's Tick scheme, the American Heart Association's heart-check mark and the Netherlands tripartite classification model for foods. Rank correlation was assessed for continuous models, and dependence was assessed for categorical models.ResultsThe continuous models each showed good correlation with the standard ranking (Spearman's ρ = 0.6–0.8). The categorical models achieved high χ2 results, indicating a high level of dependence between the nutrition professionals' and the models' categorisations (P < 0.001). Models SSCg3d and WXYfm achieved higher scores than the other models, implying a greater agreement with the standard ranking of foods.ConclusionsThe results suggest that Models SSCg3d and WXYfm rank and categorise foods in accordance with the views of nutrition professionals.


2021 ◽  
Author(s):  
Alex Bogdan ◽  
Nikki Soo

The Food Standards Agency (FSA) is investigating a spike in Salmonella cases in the UK linked to the consumption of coated frozen chicken products. In March 2021, FSA, in collaboration with Food Standards Scotland (FSS) commissioned Ipsos MORI to conduct an online survey in order to identify consumer behaviours which could increase their risk to foodborne disease. The key research questions were: •Which consumers are purchasing coated frozen chicken products? •How do consumers store and cook these products? •Do consumers follow packaging instructions when cooking and storing these products?•Are consumers putting themselves at risk of Salmonellain the way they, store, cook and handle these products? •Do consumers take appropriate action to protect themselves from risk by washing their hands, and avoiding cross-contamination when handling these products? •Do children (aged 12 or under) or teenagers (aged 13-15) handle and cook these products?


2011 ◽  
Vol 15 (3) ◽  
pp. 487-494 ◽  
Author(s):  
Jean Adams ◽  
Rachel Tyrrell ◽  
Ashley J Adamson ◽  
Martin White

AbstractObjectiveTo document socio-economic differences in exposure to food advertising, including advertisements for foods high in fat, salt and sugar (HFSS) as defined by the UK Food Standards Agency's Nutrient Profiling Model.DesignA cross-sectional survey. Information (including product advertised and viewing figures) on all advertisements broadcast in one UK region over one week (6–12 July 2009) was obtained. Food advertisements were identified and linked to nutritional information on the content of advertised foods.SettingUK Tyne-Tees television region.SubjectsData were sourced from a UK-wide television viewing panel.ResultsEleven per cent of advertising seen was for food and 63 % of food advertising seen was for HFSS foods. The proportion of all advertising seen that was for food was smaller among viewers in the least v. most affluent social grade (OR = 0·98, 99 % CI 0·95, 1·00). There was no difference in the proportion of food advertising seen that was for HFSS food between viewers in the most and least affluent social grades. Total exposure to both all food advertising and HFSS food advertising was 2·1 times greater among the least v. the most affluent viewers.ConclusionsWhile the least affluent viewers saw relatively fewer food advertisements, their absolute exposure to all food and HFSS food advertisements was higher than that of the most affluent viewers. Current UK restrictions prohibit advertisements for HFSS foods during programmes with a high proportion of child viewers. Extending these to all programming may reduce socio-economic inequalities in exposure to these advertisements and in diet and obesity.


2012 ◽  
Vol 16 (7) ◽  
pp. 1314-1320 ◽  
Author(s):  
Ma Mar Romero-Fernández ◽  
Miguel Ángel Royo-Bordonada ◽  
Fernando Rodríguez-Artalejo

AbstractObjectiveTo evaluate the nutritional quality of products advertised on television (TV) during children's viewing time in Spain, applying the UK nutrient profile model (UKNPM).DesignWe recorded 80 h of four general TV station broadcasts during children's viewing time in May and June 2008, and identified all advertisements for foods and beverages. Nutritional information was obtained from the product labels or websites and from food composition tables. Each product was classified as healthy (e.g. gazpacho, a vegetable juice) or less healthy (e.g. potato crisp snacks) according to the UKNPM criteria.SettingFour free-of-charge TV channels in Spain: two national channels and two regional ones.SubjectsTV commercials of food and beverages.ResultsA total of 486 commercials were broadcast for ninety-six different products, with a mean frequency of 5·1 advertisements per product. Some 61·5 % of the ninety-six products were less healthy, and the percentage was higher for foods (74·1 %). All (100 %) of the breakfast cereals and 80 % of the non-alcoholic drinks and soft drinks were less healthy. Of the total sample of commercials, 59·7 % were for less healthy products, a percentage that rose to 71·2 % during children's reinforced protection viewing time.ConclusionsOver half the commercials were for less healthy products, a proportion that rose to over two-thirds during the hours of special protection for children. This suggests that applying the UKNPM to regulate food advertising during this slot would entail the withdrawal of most food commercials in Spain. TV advertising of products with low nutritional quality should be restricted.


PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0254833
Author(s):  
Lauren Kate Bandy ◽  
Sven Hollowell ◽  
Richard Harrington ◽  
Peter Scarborough ◽  
Susan Jebb ◽  
...  

Background The provision and over-consumption of foods high in energy, saturated fat, free sugars or salt are important risk factors for poor diet and ill-health. In the UK, policies seek to drive improvement through voluntary reformulation of single nutrients in key food groups. There has been little consideration of the overall progress by individual companies. This study assesses recent changes in the nutrient profile of brands and products sold by the top 10 food and beverage companies in the UK. Methods The FSA/Ofcom nutrient profile model was applied to the nutrient composition data for all products manufactured by the top 10 food and beverage companies and weighted by volume sales. The mean nutrient profiling score, on a scale of 1–100 with thresholds for healthy products being 62 for foods and 68 for drinks, was used to rank companies and food categories between 2015 and 2018, and to calculate the proportion of individual products and sales that are considered by the UK Government to be healthy. Results Between 2015 and 2018 there was little change in the sales-weighted nutrient profiling score of the top 10 companies (49 to 51; p = 0.28) or the proportion of products classified as healthy (46% to 48%; p = 0.23). Of the top five brands sold by each of the ten companies, only six brands among ten companies improved their nutrient profiling score by 20% or more. The proportion of total volume sales classified as healthy increased from 44% to 51% (p = 0.07) driven by an increase in the volume sales of bottled water, low/no calorie carbonates and juices, but after removing soft drinks, the proportion of foods classified as healthy decreased from 7% to 6% (p = 33). Conclusions The UK voluntary reformulation policies, setting targets for reductions in calories, sugar and salt, do not appear to have led to significant changes in the nutritional quality of foods, though there has been progress in soft drinks where the soft drink industry levy also applies. Further policy action is needed to incentivise companies to make more substantive changes in product composition to support consumers to achieve a healthier diet.


2015 ◽  
Vol 145 (10) ◽  
pp. 2355-2361 ◽  
Author(s):  
Chantal Julia ◽  
Léopold K Fézeu ◽  
Pauline Ducrot ◽  
Caroline Méjean ◽  
Sandrine Péneau ◽  
...  

2013 ◽  
Vol 12 (4) ◽  
pp. 157-169 ◽  
Author(s):  
Philip L. Roth ◽  
Allen I. Huffcutt

The topic of what interviews measure has received a great deal of attention over the years. One line of research has investigated the relationship between interviews and the construct of cognitive ability. A previous meta-analysis reported an overall corrected correlation of .40 ( Huffcutt, Roth, & McDaniel, 1996 ). A more recent meta-analysis reported a noticeably lower corrected correlation of .27 ( Berry, Sackett, & Landers, 2007 ). After reviewing both meta-analyses, it appears that the two studies posed different research questions. Further, there were a number of coding judgments in Berry et al. that merit review, and there was no moderator analysis for educational versus employment interviews. As a result, we reanalyzed the work by Berry et al. and found a corrected correlation of .42 for employment interviews (.15 higher than Berry et al., a 56% increase). Further, educational interviews were associated with a corrected correlation of .21, supporting their influence as a moderator. We suggest a better estimate of the correlation between employment interviews and cognitive ability is .42, and this takes us “back to the future” in that the better overall estimate of the employment interviews – cognitive ability relationship is roughly .40. This difference has implications for what is being measured by interviews and their incremental validity.


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