Comparative Analysis of the Classification of Food Products in the Mexican Market According to Seven Different Nutrient Profiling Systems

Nutrient profiling systems (NPS) are used around the world. In some countries, the food industry participates in the design of these systems. We aimed to compare the ability of various NPS to identify processed and ultra-processed Mexican products containing excessive amounts of critical nutrients....

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Bibliographic Details
Published in:Nutrients 2018-06, Vol.10 (6), p.737
Main Authors: Contreras-Manzano, Alejandra, Jáuregui, Alejandra, Velasco-Bernal, Anabel, Vargas-Meza, Jorge, Rivera, Juan A, Tolentino-Mayo, Lizbeth, Barquera, Simón
Format: Article
Language:English
Subjects:
Beverages
Chilean Warning Octagons
Classification
Comparative analysis
Criteria
critical nutrients
Fast Foods - adverse effects
Fast Foods - analysis
Fast Foods - classification
Food
Food - classification
Food Analysis - methods
Food availability
Food Handling
Food industry
Food Labeling - classification
Food processing industry
Food production
Health Star Rating
Humans
Mexican Nutrition Seal
Mexico
multiple traffic light
NPSC
nutrient profiling system
Nutrients
Nutrition
Nutritive Value
PAHO model
Reproducibility of Results
Traffic signals
ultra-processed products
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Summary:Nutrient profiling systems (NPS) are used around the world. In some countries, the food industry participates in the design of these systems. We aimed to compare the ability of various NPS to identify processed and ultra-processed Mexican products containing excessive amounts of critical nutrients. A sample of 2544 foods and beverages available in the Mexican market were classified as compliant and non-compliant according to seven NPS: the Pan American Health Organization (PAHO) model, which served as our reference, the Nutrient Profiling Scoring Criterion (NPSC), the Mexican Committee of Nutrition Experts (MCNE), the Health Star Rating (HSR), the Mexican Nutritional Seal (MNS), the Chilean Warning Octagons (CWO) 2016, 2018 and 2019 criteria, and Ecuador's Multiple Traffic Light (MTL). Overall, the proportion of foods classified as compliant by the HSR, MTL and MCNE models was similar to the PAHO model. In contrast, the NPSC, the MNS and the CWO-2016 classified a higher amount of foods as compliant. Larger differences between NPS classification were observed across food categories. Results support the notion that models developed with the involvement of food manufacturers are more permissive than those based on scientific evidence. Results highlight the importance of thoroughly evaluating the underlying criteria of a model.
ISSN:2072-6643
2072-6643
DOI:10.3390/nu10060737