Cargando…

Predicting obesity reduction after implementing warning labels in Mexico: A modeling study

BACKGROUND: In October 2019, Mexico approved a law to establish that nonalcoholic beverages and packaged foods that exceed a threshold for added calories, sugars, fats, trans fat, or sodium should have an “excess of” warning label. We aimed to estimate the expected reduction in the obesity prevalenc...

Descripción completa

Detalles Bibliográficos
Autores principales: Basto-Abreu, Ana, Torres-Alvarez, Rossana, Reyes-Sánchez, Francisco, González-Morales, Romina, Canto-Osorio, Francisco, Colchero, M. Arantxa, Barquera, Simón, Rivera, Juan A., Barrientos-Gutierrez, Tonatiuh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386611/
https://www.ncbi.nlm.nih.gov/pubmed/32722682
http://dx.doi.org/10.1371/journal.pmed.1003221
_version_ 1783563979936759808
author Basto-Abreu, Ana
Torres-Alvarez, Rossana
Reyes-Sánchez, Francisco
González-Morales, Romina
Canto-Osorio, Francisco
Colchero, M. Arantxa
Barquera, Simón
Rivera, Juan A.
Barrientos-Gutierrez, Tonatiuh
author_facet Basto-Abreu, Ana
Torres-Alvarez, Rossana
Reyes-Sánchez, Francisco
González-Morales, Romina
Canto-Osorio, Francisco
Colchero, M. Arantxa
Barquera, Simón
Rivera, Juan A.
Barrientos-Gutierrez, Tonatiuh
author_sort Basto-Abreu, Ana
collection PubMed
description BACKGROUND: In October 2019, Mexico approved a law to establish that nonalcoholic beverages and packaged foods that exceed a threshold for added calories, sugars, fats, trans fat, or sodium should have an “excess of” warning label. We aimed to estimate the expected reduction in the obesity prevalence and obesity costs in Mexico by introducing warning labels, over 5 years, among adults under 60 years of age. METHODS AND FINDINGS: Baseline intakes of beverages and snacks were obtained from the 2016 Mexican National Health and Nutrition Survey. The expected impact of labels on caloric intake was obtained from an experimental study, with a 10.5% caloric reduction for beverages and 3.0% caloric reduction for snacks. The caloric reduction was introduced into a dynamic model to estimate weight change. The model output was then used to estimate the expected changes in the prevalence of obesity and overweight. To predict obesity costs, we used the Health Ministry report of the impact of overweight and obesity in Mexico 1999–2023. We estimated a mean caloric reduction of 36.8 kcal/day/person (23.2 kcal/day from beverages and 13.6 kcal/day from snacks). Five years after implementation, this caloric reduction could reduce 1.68 kg and 4.98 percentage points (pp) in obesity (14.7%, with respect to baseline), which translates into a reduction of 1.3 million cases of obesity and a reduction of US$1.8 billion in direct and indirect costs. Our estimate is based on experimental evidence derived from warning labels as proposed in Canada, which include a single label and less restrictive limits to sugar, sodium, and saturated fats. Our estimates depend on various assumptions, such as the transportability of effect estimates from the experimental study to the Mexican population and that other factors that could influence weight and food and beverage consumption remain unchanged. Our results will need to be corroborated by future observational studies through the analysis of changes in sales, consumption, and body weight. CONCLUSIONS: In this study, we estimated that warning labels may effectively reduce obesity and obesity-related costs. Mexico is following Chile, Peru, and Uruguay in implementing warning labels to processed foods, but other countries could benefit from this intervention.
format Online
Article
Text
id pubmed-7386611
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-73866112020-08-05 Predicting obesity reduction after implementing warning labels in Mexico: A modeling study Basto-Abreu, Ana Torres-Alvarez, Rossana Reyes-Sánchez, Francisco González-Morales, Romina Canto-Osorio, Francisco Colchero, M. Arantxa Barquera, Simón Rivera, Juan A. Barrientos-Gutierrez, Tonatiuh PLoS Med Research Article BACKGROUND: In October 2019, Mexico approved a law to establish that nonalcoholic beverages and packaged foods that exceed a threshold for added calories, sugars, fats, trans fat, or sodium should have an “excess of” warning label. We aimed to estimate the expected reduction in the obesity prevalence and obesity costs in Mexico by introducing warning labels, over 5 years, among adults under 60 years of age. METHODS AND FINDINGS: Baseline intakes of beverages and snacks were obtained from the 2016 Mexican National Health and Nutrition Survey. The expected impact of labels on caloric intake was obtained from an experimental study, with a 10.5% caloric reduction for beverages and 3.0% caloric reduction for snacks. The caloric reduction was introduced into a dynamic model to estimate weight change. The model output was then used to estimate the expected changes in the prevalence of obesity and overweight. To predict obesity costs, we used the Health Ministry report of the impact of overweight and obesity in Mexico 1999–2023. We estimated a mean caloric reduction of 36.8 kcal/day/person (23.2 kcal/day from beverages and 13.6 kcal/day from snacks). Five years after implementation, this caloric reduction could reduce 1.68 kg and 4.98 percentage points (pp) in obesity (14.7%, with respect to baseline), which translates into a reduction of 1.3 million cases of obesity and a reduction of US$1.8 billion in direct and indirect costs. Our estimate is based on experimental evidence derived from warning labels as proposed in Canada, which include a single label and less restrictive limits to sugar, sodium, and saturated fats. Our estimates depend on various assumptions, such as the transportability of effect estimates from the experimental study to the Mexican population and that other factors that could influence weight and food and beverage consumption remain unchanged. Our results will need to be corroborated by future observational studies through the analysis of changes in sales, consumption, and body weight. CONCLUSIONS: In this study, we estimated that warning labels may effectively reduce obesity and obesity-related costs. Mexico is following Chile, Peru, and Uruguay in implementing warning labels to processed foods, but other countries could benefit from this intervention. Public Library of Science 2020-07-28 /pmc/articles/PMC7386611/ /pubmed/32722682 http://dx.doi.org/10.1371/journal.pmed.1003221 Text en © 2020 Basto-Abreu et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Basto-Abreu, Ana
Torres-Alvarez, Rossana
Reyes-Sánchez, Francisco
González-Morales, Romina
Canto-Osorio, Francisco
Colchero, M. Arantxa
Barquera, Simón
Rivera, Juan A.
Barrientos-Gutierrez, Tonatiuh
Predicting obesity reduction after implementing warning labels in Mexico: A modeling study
title Predicting obesity reduction after implementing warning labels in Mexico: A modeling study
title_full Predicting obesity reduction after implementing warning labels in Mexico: A modeling study
title_fullStr Predicting obesity reduction after implementing warning labels in Mexico: A modeling study
title_full_unstemmed Predicting obesity reduction after implementing warning labels in Mexico: A modeling study
title_short Predicting obesity reduction after implementing warning labels in Mexico: A modeling study
title_sort predicting obesity reduction after implementing warning labels in mexico: a modeling study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386611/
https://www.ncbi.nlm.nih.gov/pubmed/32722682
http://dx.doi.org/10.1371/journal.pmed.1003221
work_keys_str_mv AT bastoabreuana predictingobesityreductionafterimplementingwarninglabelsinmexicoamodelingstudy
AT torresalvarezrossana predictingobesityreductionafterimplementingwarninglabelsinmexicoamodelingstudy
AT reyessanchezfrancisco predictingobesityreductionafterimplementingwarninglabelsinmexicoamodelingstudy
AT gonzalezmoralesromina predictingobesityreductionafterimplementingwarninglabelsinmexicoamodelingstudy
AT cantoosoriofrancisco predictingobesityreductionafterimplementingwarninglabelsinmexicoamodelingstudy
AT colcheromarantxa predictingobesityreductionafterimplementingwarninglabelsinmexicoamodelingstudy
AT barquerasimon predictingobesityreductionafterimplementingwarninglabelsinmexicoamodelingstudy
AT riverajuana predictingobesityreductionafterimplementingwarninglabelsinmexicoamodelingstudy
AT barrientosgutierreztonatiuh predictingobesityreductionafterimplementingwarninglabelsinmexicoamodelingstudy